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Research results. Distributed under the terms of a Creative Commons
Attribution International License 4.0
Figure 1. The autonomous controlling of systems for experimental research will promise to allow the investigation of issues previously thought to be impossible. Automating the entire experimental workflow–instrument setup and tuning, sample selection and synthesis, measurement, data analysis and model-driven data interpretation, and follow-up experimental decision-making–will bring about revolutionary efficiencies and Date of Birth Database business database free download
The US Department of Energy (DOE) runs a variety of facilities for scientific users (SUFs) which offer access to the most sophisticated instruments for research. The world’s leading Basic Energy Sciences (BES) Nanoscale, x-ray and neutron SUFs have more than 16,000 people per year, and generate petabytes – the equivalent to a million gigabytes of data that provide high-impact science. Modern and up-to-date facilities for users face a myriad of technical issues that relate to data acquisition and control, as well as modeling and analysis. The improvements to instruments will allow more sophisticated research by providing an increased quantity and high-quality probe particle (i.e. photons neutrons, electrons, and photons) as well as advancements in detection and data volumes require new methods to get the research results. Synchrotron light sources neutron sources, as well as Nanoscale Science Research Centers (NSRCs) provide new, exciting experiments that combine multiple, multimodal data sets. NSRCs also require active control in order to synthesize new materials. So, developments in our capacity to manage huge amounts of data, collect useful information, and then use it to direct research and experiments, will help to open new avenues for research in the biological, physical as well as engineering science. buy Date of Birth Database for marketing
For an illustration of a growing challenge coherent imaging using x-rays (or “lensless” imaging) is gaining momentum in use at both storage ring-based synchrotrons as well as free electron lasers (XFELs) because the new and upgraded sources can provide more coherence. Since the properties of the source are crucial to the research advanced forecasting and feedback is required to ensure quality of the source as well as high-resolution simulations, are essential in both the design of new capabilities as well as guiding online control. In order to achieve maximum performance, accelerators require regular optimization of high-dimensional areas and also anomaly/breakout detection to guard the high-power machine with high repetition rates. On the other hand lensesless imaging is highly computational and data-intensive. Sophisticated compression/rejection data pipeline tools operating at the “edge” (i.e., next to the detector or experiment) are needed to extract and save information “on the fly.” Active control is needed to automatically steer experiments and synthesis through a high-dimensional parameter space. Figure 1. buy Date of Birth Database for marketing
shows an autonomous control system used in experimental systems.
Even after data are collected New tools are required to analyze and share the massive, multimodal datasets that cover the SUFs, including simulations and data merges. Large-scale computations will require the creation automation of science workflows as well as innovative data science methods. Examples of such applications are molecular dynamics simulations to compare to neutron scattering results, the density function theory (DFT) to compare with neutron spectroscopy data Monte Carlo ray tracing for modeling instrumentation and complicated sampling effects, and diffuse scattering modeling to investigate imperfections in solids as well as large-scale reconstructions of tomographic images. In the NSRCs you can uncover new ideas is a priority. Date of Birth Database lists
Chemical compounds and materials with desirable properties for social applications are mainly driven by a slower process of intuition and design principles models, theories and models that are derived from data from science that are generated through experimentation and simulation. The variety of chemical compounds and materials that can be discovered is staggering. Finding the desired properties by random experiments is similar to trying to find a needle the in a haystack. buy Date of Birth Database for marketing
Data science and computational challenges occur throughout the facility’s through its entire life-cycle, but it is expected of artificial intelligence (AI) as well as machine-learning (ML) techniques will have a an impact that is transformative in SUF science. AI/ML strategies for analysis, control and modeling will significantly speed up research and discovery using computational methods. AI includes machines that do tasks typical of human intelligence, such as making plans, understanding language, recognising sounds and objects learning, problem-solving, and learning. The ML method is one of the ways to getting to AI and ML is machines that can learn from data, without having to be explicitly programmed. We anticipate that within the next decade AI/ML will become an integral part of DOE’s design and discovery arsenal, much like experimental computational, theoretical, and tools are now. Researchers at the SUFs will collaborate with AI/ML experts from the DOE to run facilities and produce research data, forming new models of physical properties and theoretical discoveries that fuel scientific research and allow for new ways of the design of materials and chemical. Date of Birth Database lists
While AI/ML is widely acknowledged as a collection of data analysis tools Opportunities at the SUFs are broader than facilities operations, covering everything from the creation of new machines to analysis of new research. For instance, AI/ML is able to integrate simulations, physics and data to assist in the optimization of accelerators, which allows for the creation of complex configurations that provide new capabilities for users. Automated control of experimental systems could transform the way that researchers work by allowing them to investigate difficult problems with high dimensions previously thought to be impossible. These advances may be, for instance, enabling the exploration of targeted substances and chemicals 1000 times faster than existing methods and could help to understand the conformational landscapes of proteins, and uncover intricate hierarchical relationships that span from molecular-scale interactions transport phenomena, and even understanding the energy landscapes of the chemical and material transformations. buy Date of Birth Database for marketing
To determine Priority Research Opportunities (PROs), BES convened a roundtable with experts
Oct 22-23 of this year from the user and SUF communities as well as from that span a variety of disciplines, as well as cross-cutting sciences such as computational science detector and accelerator technology as well as theory and simulation, modeling and simulation and atomic-scale characterization methods. The roundtable uncovered potential research opportunities for the future which could be the foundation of a planned, long-term research initiative that could lead to significant advances in neutron, photon and nanoscale science. Refer to Appendix A for the list of participants as well as their affiliations, and appendix B with the agenda of the roundtable. Date of Birth Database lists
Participants in the roundtable were asked to give their opinions about the ways that big data and AI/ML techniques can be utilized to realize the full effectiveness and impacts of SUFs. The technical challenges will be faced by the simulation process, as well as control data acquisition, as well as deeper data analyses. Participants considered new technologies for speeding up high-fidelity simulations for online models, fast-tuning in high-dimensional spaces, anomaly/breakout detection, “virtual diagnostics” that can operate at high-repetition rates, and sophisticated compression/rejection data reduction workflows operating at the edge to capture high-value data and steer experiments in real time.
Prior to the meeting of the roundtable participants of the community were required to present a two-page synopsis of their current and past research in AI/ML for controlling machines, data manipulation and analysis in their facilities. This companion to the present report was compiled into the Facilities’ Current Status and Projections for Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning, (to be published in https://science.osti.gov/bes/Community-Resources/Reports) which set the stage for the roundtable by addressing six questions that described the current AI/ML applications, developments, and opportunities at the SUFs: Date of Birth Database for sale
1. What are the ways AI/ML can alter or improve the way you run your lab? your lab?
2. What are the weaknesses of the detectors as well as how AI/ML can assist?
3. Can AI/ML enhance DOE facilities’ users’ experience when they acquire data using new methods of experimentation such as data analysis, data analysis, adaptive control and so on. ?
4. Do you believe there are specific limitation(s) in the development in AI/ML in data production and analysis in your facility (please describe)?
5. Are there ways to better integrate Advanced Scientific Computing Research (ASCR) data analytics and HPC (HPC) and high-speed network capabilities for research-related and theoretical issues that require a lot of data?
6. What aspects of AI/ML are interesting for you? Define how this can enable user-friendly services.
In the roundtable, an interactive discussion among participants identified possible themes. Four breakout sessions identified the most dominant themes that were identified in the areas of online control and the acquisition of data, analysis using multimodal techniques and simulations/models. From the findings of the first day’s discussion the writing team identified four PROs that were formulated on the second morning, along with examples of “killer apps” to illustrate the potential benefits for each of the PROs. Date of Birth Database for sale
The report highlights the most important issues and research directions for the future that were identified from the AI/ML roundtable. They are outlined through the four PROs. Each is covered in detail in the section in the report.
PRO 1: Efficaciously collect strategic and critical information from huge, complex data sets Date of Birth Database lists
PRO 2: Face the challenges of autonomous control for scientific systems
PRO 3: Allow offline design and optimize facilities and research
PRO 4: Utilize the shared data of scientists to support machine learning-driven discoveries
The report concludes with a section that highlights the opportunities to collaborate with ASCR to facilitate the development of enhanced AI/ML capabilities that are relevant to each of four Pros. Date of Birth database free download
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The successful resolution of the PROs will result in an ongoing, coordinated effort to make major breakthroughs in neutron, photon and nanoscale science, which will help allow these facilities to be upgraded into the next generation of capabilities for the users as well as for discoveries in science.
PRO 1. Effectively extract strategic and critical Information from Complex, Large Databases Date of Birth Database business database free download
The key question is how do we obtain reliable and useful information from the ever-growing and complex information being generated at BES’s research and facilities for users? Date of Birth Database lists
It is evident that the BES user facilities include a variety of x-ray electron, neutron, optical probes, as well as atoms are generating ever-larger and more complex data streams at a more speed than the traditional analysis techniques can manage [1-101-10. Science is dependent on the extraction of chemical and physical information from these streams, as well as the anatomical, electronic, mesoscale and nanoscale structures and dynamics. AI/ML methods, restricted and influenced with physical theories, are required to facilitate and speed up sampling of the dynamic and structure spaces effective forward modeling and pattern matching from these huge stream of high-throughput data [1111. Date of Birth Database for sale
The tools and methods (e.g. and x-ray optical, neutron, and electron probes with other microscopy techniques) to analyze phenomena at the nanoscale drastically increase, the challenges we face are harnessing the volume of data that is generated and connecting the various parts of the scientific data derived from this data. The solution to these issues will result in three major technological advances: (1) faster time for understanding and characterization of samples, (2) real-time analysis for control and autonomous online experiments and (3) the capability to deal with greater complexity in experiments by uncovering connections in large-scale spaces. In the event that scientists can not meet these challenges in the future, the research output produced by the SUFs will not be able to keep up with the capabilities of the facilities. Date of Birth Database lists
This PRO is comprised of three main themes. AI/ML technologies have the possibility of enhancing the efficiency of research in BES SUFs through:
1. Transforming data from raw data to scientific data (i.e. collecting rough, noisy, and imperfect images of observations and taking physical quantities and valuable information).
2. Allowing for rapid extraction of information for immediate feedback to participants, allowing for the alteration of the procedure while it is in progress as well as, more generally to provide a base for the autonomous controlling of an experiment (PRO 2.).
3. Enhancing analytical techniques (via AI/ML) of complex, large datasets, such as the analysis of data from experiments and simulations. This allows scientists to detect the hidden connections between experimental modalities in high-dimensional, complex spaces. Date of Birth Database lists
Every one of them is explained in greater detail below.
Rapidly transforming data into scientific data Date of Birth Database for sale
The exponential growth of data volumes, as well as in some instances, speed of data generation (i.e. how quickly data is generated) can be a major obstacle to a successful data analysis process within the SUF. Data reduction methods like experiment-specific vetoes lossy or lossless compression and feature extraction should be used to accomplish the double goal of reducing data volume and obtaining physical information from measurements. These techniques should be adaptable to changing conditions in the lab, and can be scaled up to the maximum of the detector’s input/output (I/O) capabilities, and be adaptable to rapid changes in the experimental conditions. AI/ML approaches have the potential to solve these problems and provide large datasets that enable the application of deep learning methods [1212. Date of Birth Database lists
In order to extract information from the data will likely require a multi-layered method. For instance in particle physics different types of “trigger” are employed and each is increasing in complexity, to determine if the information from an event is worthy of recording (e.g. [13[13.13]) . In today’s particle physics experiments can include decades of simulation work to establish confidence in an algorithm for triggers. Although this kind of specific data saving can be beneficial for SUFs (e.g. shooting-by-shot data on an XFEL) however, the design of triggers is more difficult because of the limited duration of the experiments that can vary from day-to-day (see PRO 3.). Another approach to reduce data will not erase data with triggers, but rather start to gather data at a lower scale (i.e. that is, as close as it is possible). A good example of this is “clusterization,” determining the location of the impact of a probe particle the detector, with subpixel accuracy. The conventional methods are costly computationally as well as sensitive to errors in calibration and noise. AI/ML methods can increase the speed and the spatial resolution of these tasks. As one is further away from the detector, and more computing power becomes available advanced techniques may be utilized. For instance, artifacts and distortions that occur in the x-ray scattering of data collection could be repaired by computational means [14-15], thus uncovering the true structure of the motifs. Methods for data reconstruction which have been largely ignored because of their high computational costs can be replaced with speedy-running AI/ML algorithms [16and 16. In the broadest sense AI/ML algorithms could draw the physical information directly from experimental data without losing any information due to intermediate processes [1717. Date of Birth Database address lists
Rapid information extraction is a way to give real-time feedback
Conducting an experiment in real-time requires rapid and advanced analysis of data so that each test can provide information for future research (see PRO 2). The current analysis techniques are not adequate for this job. For instance, modern and improved light sources significantly boost both brightness of the source as well as coherence. Coherence is a possibility to exploit to enable, for instance, lenses-free imaging, however with a the accompanying growth in computational complexity. It is predicted [18-19 that one coherent imaging beamline can generate around 130 petabytes raw data each year. It is also estimated that 30 petaflops of computing power will be required to handle the expected data-generation rate with inversion algorithms currently used. Date of Birth Database lists
Recent preliminary findings [20-21] suggest that deep neural networks (DNNs) could be utilized to understand a range of inverse issues, such as for instance, the conversion of the raw x-ray (and electron information) from NSRCs into real-space coordinates. After being trained they can be applied to the edges to allow real-time experiment feedback. Integrating the physics of the experiment being conducted as well as the model linking the raw data with the real-space image may limit the optimization space and enhance the outcomes of experiments that employ AI/ML. Future research challenges related to optimizing the tuning of huge DNNs or active-learning should be explored in order to improve these methods. Date of Birth Database address lists
Providing enhanced analytical methods Date of Birth database free download
Multimodal tools for characterization that offer the necessary information in BES’s SUFs. The issue is how to connect the often dissimilar information similar to multiscale issues in physical and biological sciences. For instance, a precise understanding of electronic and atomic structure of materials in synthesis and dynamics is essential for the discovery of new materials. However, the combination of scattering, microscopy and spectroscopy to uncover structures is a challenging in-inverse issue. It is whether it is due to projection of an 3D structure into one or two dimensions as for instance in the pair distribution function as well as transmission electron microscopy or it is the process of condensing a vast amount of elements in a matrix into a single energy-dependent amplitude like in x-ray absorption spectrum, or the interplay of coherent x-rays scattered, like in coherent diffractive imaging and the x-ray photon correlation spectroscopywhich means that the inversion of this mapping is lengthy, inexact and, sometimes, wildly inaccurate, which restricts and makes it difficult to discover new information, despite the the vast array of multimodal instruments in situ/operando on the SUFs.
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Solving inverse problems like they require (1) an extensive amount of measurement, (2) models and forecasts of how to incorporate signals from multiple modalities in addition to (3) physical limitations (i.e. solutions need to be oriented towards an optimal match to experiments while also ensuring that the physical representation is adequate). In the end, inverse problems are best served by the convergence of AI/ML. It can manage mappings that aren’t well-defined, and first principles modeling and atomistic models that allows for high-throughput configurational sampling advanced modeling of multimodal data characterization, and, perhaps most crucially, severe constraints on the problem space. Date of Birth Database business database free download
Capabilities to Enable
To speed up speed in characterization of samples and to gain a better knowledge of the complex tests various improvements in the infrastructure as well as facilities will be needed.
Ample bandwidth for the network DOE’s Office of Science (SC) Energy Sciences Network (ESnet) offers high-bandwidth connectivity between universities and national laboratories, and it is crucial to ensure that sufficient ESnet bandwidth for data flow that can efficiently connect data and compute sources between HPC facilities as well as neutron and light sources and NSRCs. Date of Birth Database address lists
* Analyzing data according to its own natural rate of production AI/ML can help with several essential elements of Date of Birth Database lists
performing on-the-fly data extraction at speedy data generation rates: (1) solving inverse problems, like the ones mentioned above, that can combine measurements from various modes and facilities; (2) finding surrogate models that cover the changes between discrete measurements and (3) parameter-space learning that allows for more efficient search through the parameter space. A variety of ML classification and regression methods, including stochastic, decimal tree, active learning, evolutionary and Bayesian optimization methods are applicable to these challenges. Methods of training models on unlabeled data that is sparsely labeled are crucial.
* Capability to leverage the domain expertise in analysis Extraction of chemical and physical information from fast and large streaming data sources using AI/ML methods should be constrained and guided by physical models in order to allow and speed up data sampling in the parameters and to allow patterns to be matched and for forward modelling. Date of Birth Database address lists
• Simultaneous analysis of all data, regardless of the source the format, machine or source A complete dataset that is that is representative of SUFs research interests must be readily available for the purpose of training and validating AI/ML models. To enable such a dataset storage capability that is centralized and policies that facilitate collaboration across institutions have to be put in place. It is crucial to establish metadata standards due to the fact that experimental metadata aren’t systematically stored across facilities, and the majority of metadata aren’t uniformly recorded and stored in logbooks of users [55. A standard metadata tagging process will make it easier for developers and users of AI/ML algorithms to find and access relevant data, by enabling data searchability. The two reports PRO 4.4 and the study entitled Data and Models: A Framework for Advancement of AI in Science cover this issue in greater specific detail [2222. Date of Birth Database lists
* Validation and Verification (trust but confirm) How do you prove that the model is precise for the purpose it was designed to serve? Every AI/ML method that is created must function consistently and effectively. Standards should be created for the validation and verification of AI/ML techniques to ensure they are reliable and don’t systematically alter results.
Values that are measured typically aren’t apparent to the researcher when collecting data. For instance, a lot of property properties of materials are recorded in scan electron nanodiffraction data. The properties include crystallized phase, strain and polarization, as well as any correlations between them typically are discovered after the conclusion of an experiment. The immediate reduction of data into pertinent physical properties changes the way in which an experimentalist is interacting with the device, and allows direct access to complex experimental parameters on the timescale that the test. Image courtesy of Mary Scott, National Center for Electron Microscopy, Lawrence Berkeley National Laboratory Date of Birth Database providers
Many materials are composed of complex, heterogeneous components. Self-healing and damage-tolerant structural materials  or multi-component catalysts that enable cascade reactions all depend on heterogeneity. The precise properties of each of them, the distribution and any connection between them is usually not evident until after an experiment is conducted. To develop and optimize multicomponent materials, in which it is possible to observe the structure directly might be difficult, tests require navigating the resulting functional properties. This requires high-throughput research instruments that make use of Date of Birth Database lists
instant data reduction in order to navigate through a complex parameter space for experiments. For instance, an experimentalist may require classification and interpret the raw electron microscopy images or xray ptychography images in an experiment, such as in the above figure. AI/ML methods that automatically classify elements, identify relationships and patterns as well as interpret data, can greatly influence the design of heterogeneous systems of materials. In order to enable these capabilities the advancements described in PRO 1 will be required. Date of Birth Database providers
An instance of this is to determine the crystallization conditions and structure in organic-inorganic hybrid materials. This can be a long-winded, “needle in a haystack” search that involves thousands of reactions and parameters, even though the parameters are well-known for organic materials that have similar components. The robotic workflows in the Molecular Foundry nanoscience user facility located at Lawrence Berkeley National Laboratory recently conducted more than 9,000 perovskite reaction and tested over 50 organic precursors for the formation of single crystals in perovskites [26(26, 27). ML algorithms classified reactions’ outcomes like crystal size crystal structure, dimensionality, crystal structure and the properties of the material (see image below). A group of ML experts in the role of “virtual users” utilized an application pipeline that was developed from Molecular Foundry users to propose new experiments with the robots. These data are automatically uploaded into the database of the software and used to develop learning algorithms by using Transfer learning and Bayesian Optimization. The biggest challenge in modeling with ML, and hence, the ultimate goal is to apply the results of the one system of chemical analysis to other untested systems that are not tested. Date of Birth Database lists
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Explore the conditions to produce single Crystals (red dots) of lead ethylammonium
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* Provenance preservation: Provenance within computational science refers to the documentation of data lineage and the software processes that process these data in order to facilitate an interpretation and validation and repeatability of the results. In the field of experimental science, Date of Birth Database business database free download provenance includes calibrations, experimental conditions as well as notes that provide the details of the method by which the data were generated and analysed. Like metadata, provenance of software and data is essential for ensuring transparency and trust in the results of experiments and computations. Provenance records the many changes that occur during the process of scientific discovery as well as in the development and development of novel materials. A complete provenance record is an indicator of the quality of outcomes. The record should include references to the program code and initialization parameters used to generate particular samples, datasets and experimental conditions , like the position of the motor at a beamline as well as the names of the researchers and facilities associated with a specific project. As AI/ML, and other computational algorithm increasingly driving more of the process of discovery, detailed and thorough proof is required to document how the results are achieved, particularly in dynamic environments, where computer-driven algorithms control autonomous tests. Date of Birth Database providers
The capability to extract the most important characteristics of data produced at SUFs has a host of benefits. Storage requirements and overall throughput are reduced, as well as the capability to stream data directly to DOE’s ASCR computing facilities is now feasible. Information extraction provides crucial real-time feedback that can guide experiments to the highest quality measurements and shorten the time between measurement and scientific insights (see PRO 2). Additionally, information that is compact that is relevant to physical units can be shared with other facilities, which allows for multiple-modal analysis as well as synthesizing. AI/ML techniques that reduce the amount of data being processed and also feature extract can allow BES capabilities to analyze greater speeds of streaming data in order to analyze heterogeneous groups and capture rare events, and trace spontaneous dynamical patterns in operando. AI/ML methods allow to tackle the new complexity levels such the mapping of reaction-based landscapes, or the capture of rare events through automatic pattern recognition , and also to study high-dimensional spaces. Date of Birth Database providers
If a real-time reduction of data capability is not provided the implications on BES SUF’s mission are significant. BES SUF mission could be severe. Facilities will be forced to artificially limit the particle flux, or rate of readouts for future detectors, limiting the quality as well as the number of experiments that could be carried out at the SUFs which will limit the scientific output of the facilities. Many of the experiments that require high statistical accuracy are not feasible without some kind of on-the-fly feature extraction that can handle the volume of data. Experiments that require multimodal analysis wouldn’t be feasible, thus reducing the impact on science of SUFs. Inability to SUF users to effectively collect data, manage and analyze their data will delay understanding and publishing. Date of Birth Database lists
The latest research in AI/ML has demonstrated to be efficient in identifying features and the processing large-scale datasets which helps visual analysis and data analysis keep up with the growing volume of data from experiments. Moving from recording data to recording it rapid extraction of data from experiments is the foundation of the autonomy of control and experimentation that is discussed in PRO 2. Date of Birth Database providers
PRO 2. Take on the issues in Autonomous Control of Scientific Systems
The key question is how do we tackle the challenges that arise in the operation in real-time of complex, large-scale scientific facilities for users?
The advancements in AI/ML techniques are enabling an entirely new model where every automatable task could be handed over to machine control , while human experts are freed to focus on the complex questions of understanding the fundamental science. For instance, AI/ML-driven, autonomous management of systems for scientific research has the potential to provide systems for science that can self-regulate to produce ultra-high-performance and experimental systems that can explore autonomously issues in science, utilizing the most effective experiments and transforming the data that is accumulating into human-readable physical information. This can dramatically increase the efficiency of facility operations and provide an opportunity to study and comprehend new phenomena in science and, in the end, accelerate the delivery of exciting scientific discoveries as well as future-generation energy technologies storage, utilization, in addition to national security. buy Date of Birth Database online
In the SUFs, one important aspect is accelerators that are the basis of the huge photon, electron and neutron research communities. In order for an accelerator to function effectively, thousands of components systems have to work in strict tolerances, delivering high-quality and nonlinear responses. Date of Birth Database lists
Conventional approaches to control that rely upon static designs or manual tuning, are not able to cope with the real-world complex nature of these systems, especially as SUFs are moving towards physics-based sources. Online control platforms in the future will need AI/ML techniques that take advantage of known device physical properties (via elaborate modeling) as well as operational experience from the real world (via mining data from the archives of the system). Additionally, modern tools for experimental research, such as endstations with neutron and synchrotron technology electron microscopes, scan probe instruments, and sophisticated optical systems are becoming more complicated and require precisely controlled interconnected hardware systems to manage large volumes of data that is generated in a rapid manner. buy Date of Birth Database online
AI/ML algorithms also offer potential for managing user-generated experiments via an autonomous choice of measurement conditions. Utilizing rapid, real-time data analytics this technique will enhance the quality of the experimental data as well as reduce the amount of instrument time and help speed up studies. The improvements would be immediate effects across the whole SUF program.
The research that is addressing the latest developments in chemical, materials and biosciences face the same problem, as do new frontier research examining huge and complicated parameters. Studying multicomponent heterogeneous, and non-equilibrium materials demands a thorough examination of the huge space defined by the material’s composition and the history of processing. The search for functional targets material, as well as to discover significant trends are difficult to accomplish using conventional techniques. The field needs the ability to identify, analyze and explore the parameters of processing and materials. This calls for the creation of autonomous experiment control systems that are able to refresh data gathering. AI/ML autonomous experiments will also aid in real-time material synthesis, providing access to metastable and non-equilibrium materials that are only achieved through an active control over the synthesis process. Steered synthesis also allows research into additive manufacturing technologies which rely heavily on computations and control to produce the desired material and structure. Date of Birth database free download
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Automated control of experimental systems can open the door to research into issues previously thought impossible to tackle. The aim of the research is to automate all aspects of the experimentation process, from setup and tuning of instruments to sampling and synthesis, measuring and data analysis modeling- Date of Birth Database business database free download
driven interpretation of data, as well as the subsequent experimental decision-making. Therefore it is essential to coordinate advancements is needed across a variety of technology. buy Date of Birth Database online
Proposed research PRO recognized two major areas of study which could enhance BES program of research: Date of Birth Database lists
1. Automating control of facilities, which allows greater reliability, effectiveness from self-regulation and the capability to surpass limits in physics. Examples are provided for beamlines and accelerators.
This is The The Ultimate Handbook to blogging! Whether you’re new to blogging or an experienced expert on content this guide will offer you the information that will help you keep your blog running smoothly through every stage of its existence.
From establishing your blog to sourcing great content, to leveraging and dispersing your blog posts to ensure the greatest effectiveness, this guide has all the strategies, case studies and tools to help you establish and maintain a profitable blog that is beneficial to your as well as your company.
We’ve also added some insights from the industry to help you understand the role that blogging plays in your overall marketing strategy and the ways that other companies are investing inand implementing this essential content-related activity.
Before we begin a deep look into the fascinating world of blogging Let’s look back and talk about the fundamentals.
What is a “Blog blog’? Shorthand for “Weblog,” a blog offers an easy way to display short pieces of regularly refreshed Web content. It is backed by easy-to-use tools to syndicate (e.g. RSS) trackbacks, comments, and trackbacks blogs are frequently the most prominent centers for social media solar system that integrate sophisticated SEO strategies as well as communities-building strategies. buy Date of Birth Database online
In the age that social media is a reality, CMI Contributor Heidi Cohen says that blogs remain an essential part of content marketing and more so than ever before:
“Blogs don’t get the same amount of attention as their more popular social media counterparts, Facebook and Twitter. However, they are at the center for social media specifically when you’re involved in content marketing…because blogs provide the information that fuels social media discussions.” (Heidi Cohen) Date of Birth Database lists
It’s true that blogging isn’t for all. To figure out if it’s the right choice for you, here’s some basic “Hot or Not” guidelines:
If you’re one of those who saw the “Hot” column shouted your name, congratulations! It is likely that you will benefit by enhancing or building your blog’s efforts for your company. (For those of you who fall in the “Not not so hot” category, we might suggest trying some of the other strategies for marketing content that are described by the Content Marketing Playbook).
Blogging Stats, Statistics, Facts and Insights buy Date of Birth Database online
(and how they are for you)
No matter how much or even how little your company spends on blogging, it’s crucial to assess how your blog’s activities are compared to those of other companies. Here’s a quick snapshot of the present “state of the art” for blogging in 2012 (based
on the results of on the findings from results of the B2B Content Marketing on the findings from the B2B Content Marketing Benchmarks on the findings from the B2B Content Marketing 2012 Benchmarks, Trends and Budget).
Fact 1: Blogging is on increase – For almost everyone Blogging has been an increasing trend for many firms over the last couple of years regardless of their size, industry or location. 2011 was no different in that B2B marketing increased the usage blog sites by 27%. which makes blogs the third most popular Content Marketing strategy (behind posts and social media). Date of Birth Database id list
What does this mean to you:
If you’re still not blogging and have the ability to do it you must seriously think about it, as your competition likely are.
Fact 2: The size of the company is a factor 68% of businesses with a staff of 10 to 99 have a blog, but only 55% of biggest companies employing this method. This is likely because blogging can be a easy, low-cost process that can yield substantial SEO benefits and lead generation If done properly.
As an effective digital marketing instrument, your website could be the one that brings visitors to your website and eliminate the need for costly or time expensive investments such as white papers and customer communities. Date of Birth Database lists
What does this mean for you:
If you’re in a tight department that has even smaller budgets then you might want to think about making your blog the foundation for your marketing online strategy.
Fact 3: Businesses are becoming more comfortable with their Blogging capabilities In-person meetings and webinars are considered as the most effective methods for marketing through content On average, blogging has seen a significant increase of 45% in the amount of effective marketers believed that the method was.
What does this mean to you:
If you’re not yet blogging yet and feel overwhelmed at the idea of blogging do not worry. It becomes easier and within a fairly short time, you’ll likely also feel it’s getting more effective. Practice makes perfect, right?
What exactly does all this research have to do with it? It is a sign that the time is available to begin or expand your blog’s activities, since all other companies on the market are doing so in greater quantities. Why? because, as we’ve mentioned in the previous statistics blogs are extremely effective affordable and will satisfy a lot of your needs for content marketing in one go. According to Heidi Cohen states in the article: “12 Reasons to Make Blogs the Heart in the Content Marketing Strategy”: Date of Birth Database id list
Blogs are so well-known because they’re the ideal option
to serve as your content marketing hub serving as a the content
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old-fashioned print-publishing functionality. Reality is
In today’s world of content-driven media that you can watch
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the population that – according to Ipsos research – have a budget of more than
Ten hours per day of media.
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To help you break it down for you, these are 12 top reasons your business should consider investing in blogging or even take your existing blogging efforts into the future. Date of Birth Database free
Ofttimes, these arguments are employed as the foundation to convince your bosses to invest in blogging.
Blogs are a simple-to-use CMS (aka Content Management System). Blogs require no training or technical skills to operate but they allow flexibility to modify or update content swiftly. Plus blogs aren’t costly.
Blogs are a part of a company’s media owned by it. Blog content is the property of your company and is able to integrate into the site. As opposed to other third-party or social media outlets it is not necessary to fret about their disappearance or cease to exist. A blog could be used as an alternative to the website.
Blogs offer branded context to your content. As part of the company’s own media assets, blogs can provide branding to your messages by using blogs’ design components that are able to be exported along with your content. It is possible to extend your brand without the expense of third-party media. Date of Birth Database lists
Blogs can integrate your brand’s image to their content marketing. Beyond the blog’s brand-related context, blogs give blogs with personalities that have distinctive voice. They allow for transparency in communication and the chance to write in a casual tone that makes your company appear “human”. Be sure to stay clear of articles that seem to be self-promotional. Ensure that your blog’s personality is merged with your brand’s personality on different social platforms.
Blogs can help improve search engine optimization. By providing content with keywords design, structure and cross-linking with other websites on the Web blogs can aid the search engine optimization process. (Note that this assumes the domain you’re running is yours and not a third party free blogger platform.) Date of Birth Database id list
Blogs can be a 24-hour communication tool. With the increasing need for instant communications blogs can be a fantastic platform to rapidly publish positive articles about your business or react to changing issues. Plug-ins can be used to automate publishing your calendar of editorials.
Blogs are able to work with a variety varieties of formats for media. To distribute content that is branded blogs make it easier to upload and managing of text photos, images as well as audio, video, PDFs and presentations. When creating offline content or events, think about what type of content you can publish in your blog. Date of Birth Database lists
Blogs enable content distribution across different channels. Blogs can enhance the reach of your messages via email as well as RSS feeds without extra cost. Blog posts can be automatically incorporated into digests of emails.
Blogs are a source of the content needed to social media interactions. Blog posts are a source of social media interaction on social sharing platforms like Twitter or Facebook. Be sure to include icons as well as specific calls-to-action. (Remember that these shares translate into earnings media impressions (aka cost-free.)
Blogs are a place to connect customers and prospects. By using the use of a QR code or URL, you can send prospects, customers, and even the general public to your blog via other types that use content marketing. This will allow you to connect your different elements across various platforms.
Blogs can be adapted to be able to help with a variety of projects. Blogs can aid companies in reaching many goals for their business, like offering content related to products, responding to customer queries or attracting new customers, and hosting an executive-level platform.
Blogs can provide metrics that you can utilize to measure your content marketing goals to those of your business. As with all business strategies it’s crucial to track the progress you make. There are a myriad of indicators to evaluate your blog’s performance that we’ll discuss in greater depth in this guide. Date of Birth Database lists
In the end, put your blog in the middle of your content
Marketing strategies are a great idea. It creates a brand
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to meet your corporate objectives. The best part is the flexibility you can enjoy
blogs and their capacity to be seamlessly integrated into your
social media strategy.
Calculating the costs of
Your Blog has quality content on Your Blog
The cost of running a blog isn’t an easy task due to the fact that it is largely contingent on the type of platform you choose to use or the resources you use (for instance, a lot of common WordPress templates cost nothing, whereas other content management systems that are complex can be costly).
Costs can be very different between companies based on the requirements, area, or size therefore, instead of becoming too precise we’ll start by defining the basics of content creation. This article will explain how it’s important to think about adding space to your budget for top-quality content on your website (originally written in the book by Joe Pulizzi in “How Much Should Brands Spend on Content Marketing?”)
Marketing professionals typically allocate funds for their content whether for blogs, web-based content or editorials for printed magazines or eNewsletters they go with the what “feels” best. Marketers generally judge the price of content by the amount they’ve paid for PR , other creative work, or the worth of their time. Content and copy is always subjective, and there are always several steps. However, the most important thing to consider is the content Goal.
If you are looking to produce high-quality, thought-leadership-driven content and content, you might be thinking about staying away from “cheaper” strategies that may involve re-writes content curation, or less-than-professional writing. While the cost might be less, this approach is risky at the very least. Why? Date of Birth Database b2b database
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Your voice is unique and your content should convey your unique voice. Making writers recognize your voice requires patience and experience.
You’ve got a marketing plan with goals specific to it that must be addressed. The content that you produce must be geared towards the objectives. This takes time and knowledge. Date of Birth Database free
Your content must be distinctive, engaging and valuable. Making this type of content requires patience and knowledge.
A more knowledgeable and high-quality content creator can help you create content that achieves these essential goals, assisting you engage with your clients and increase the profits of your business from the content you write.
Note: If you’re looking for more precise, tailored cost estimates, we suggest this blog post written by Jay Baer titled, “Calculating the ROI of your blog In 9 Easy Steps” which contains detailed formulas for calculating the cost of blogging and your revenue and also how to figure out what your ROI might be (you may want to take pencil, a calculator and paper if you decide to go on that path). …)
After we’ve covered basic concepts, it’s time to look at the basics of your blog and the best way to decide what material you’ll require to make it effective. Date of Birth Database id list
Beginning How to Start Building Your Blog and Content Strategy
If you’re thinking of creating a blog for your business or you’re looking to update the one you have there are 11 essential elements and guidelines that every business must implement from the beginning (with the highlights of Heidi Cohen’s piece “Must-Haves for Blogs at Work.”)
Find out your blog’s business goals
Before you begin to ask someone from the web team to create your blog make time to consider the key strategic elements. This is a crucial step to make sure your blog’s content is aligned with your brand’s and/or business goals. The top business blog objectives are to:
Create a brand image by providing relevant content to promote your product. This content should be engaging potential customers.
Make your brand more accessible by giving potential buyers with solutions to their product requirements through a variety of formats of content like checklists and videos on how-to. Date of Birth Database lists
Help sales by providing prospective buyers with useful details. The specifics will vary based on your product. It could be a 360-degree video that highlights the specifics of your clothing and fit, or a list of specifications for technology.
Place the senior executive(s) by highlighting their ideas and leadership. This is especially essential for businesses that are deeply linked to the founders of the company. It requires commitment and buy-in by executives to post regularly.
Define the Readers that are targeted buy Date of Birth Database
Your readers must be compatible with the goals of your blog. When talking about potential readers it’s best to categorize the readers in terms of demographics, psychographics , and previous behaviours. Also, think about how this segment performs on social media. Are they individuals who make or comment on other content, or just browse articles (aka”lurk”)?
Three Key Points to Remember When you are blogging
Encourage dialogue and even “bad” remarks can be an the perfect opportunity to build good relationships with customers.