Materials Data Sciences and Informatics

Start Date: 02/16/2020

Course Type: Common Course

Course Link:

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About Course

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges.

Course Syllabus

• Learn and appreciate historical paradigms of advanced materials development while emphasizing the critical need for new approaches that employ data sciences and informatics as the glue to connect computational simulation and experiments to speed up the processes of materials discovery and development. • Learn about the emergence of key national and international 21st century initiatives in accelerated materials discovery and development and how they are expected to bring about a disruptive transformation of new product capabilities and time to market.

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Course Introduction

Materials Data Sciences and Informatics This course introduces a number of important topics in materials science and informatics. It covers the development of high-performance digital manufacturing processes, manufacturing process design, working with multistage production, and materials characterization. The course is designed especially for students majoring in engineering, physical and electronic engineering, mathematics, physics, and computer science. The program will give you a broad understanding of topics covered in the engineering and information sciences, as well as provide you with an introduction to informatics in the lab and real world applications. The course is taught by faculty from a number of departments at the University of Leeds, including: - School of Engineering and Physical Science, University of Leeds - School of Mechanical Engineering, University of Leeds - School of Electrical and Computer Engineering, University of Leeds - School of Chemistry, University of Leeds - Department of Chemical and Biomolecular Engineering, University of Leeds - School of Chemistry, University of Leeds - Department of Computer Science, University of Leeds - School of Electrical and Computer Engineering, University of Leeds - Department of Chemical and Biomolecular Engineering, University of Leeds - School of Chemistry, University of Leeds - Department of Computer Science, University of Leeds - Department of Computer Science, University of Leeds - Department of Computer Science, University of Leeds - Department of Computer Science, University of Leeds - Department of Computer Science, University of Leeds - Department of Computer Science, University of Leeds

Course Tag

Informatics Materials Statistics Data Science

Related Wiki Topic

Article Example
Materials informatics The editors focus on a limited definition of materials informatics, "the application of computational methodologies to processing and interpreting scientific and engineering data concerning materials." They state that "specialized informatics tools for data capture, management, analysis, and dissemination" and "advances in computing power, coupled with computational modeling and simulation and materials properties databases" will enable such accelerated insertion of materials.
Materials informatics Materials informatics is a field of study that applies the principles of informatics to materials science and engineering to better understand the use, selection, development, and discovery of materials. This is an emerging field, with a goal to achieve high-speed and robust acquisition, management, analysis, and dissemination of diverse materials data with the goal of greatly reducing the time and risk required to develop, produce, and deploy a new materials, which generally takes longer than 20 years.
Materials informatics While there are many that believe in the future of informatics in the materials development and scaling process, many challenges remain. Hill, et. al., write that "Today, the materials community faces serious challenges to bringing about this data-accelerated research paradigm, including diversity of research areas within materials, lack of data standards, and missing incentives for sharing, among others. Nonetheless, the landscape is rapidly changing in ways that should benefit the entire materials research enterprise."
Materials informatics This field of endeavor is not limited to some traditional understandings of the relationship between materials and information. Some more narrow interpretations include combinatorial chemistry, Process Modeling, materials property databases, materials data management and product life cycle management. Materials informatics is at the convergence of these concepts, but also transcends them and has the potential to achieve greater insights and deeper understanding by applying lessons learned from data gathered on one type of material to others. By gathering appropriate meta data, the value of each individual data point can be greatly expanded.
Informatics Texas Woman's University places its informatics degrees in its department of Mathematics and Computer Science within the College of Arts & Sciences, though it offers interdisciplinary Health Informatics degrees. Informatics is presented in a generalist framework, as evidenced by their definition of informatics ("Using technology and data analytics to derive meaningful information from data for data and decision driven practice in user centered systems"), though TWU is also known for its nursing and health informatics programs.
Materials informatics The concept of materials informatics is addressed by the "Materials Research Society". For example, materials informatics is the theme of the December 2006 issue of the "MRS Bulletin". The issue was guest-edited by John Rodgers of Innovative Materials, Inc., and David Cebon of Cambridge University, who describe the "high payoff for developing methodologies that will accelerate the insertion of materials, thereby saving millions of investment dollars."
Predictive informatics Predictive informatics (PI) is the combination of predictive modeling and informatics applied to healthcare, pharmaceutical, life sciences and business industries.
Urban informatics Later, with the increasing popularity of commercial opportunities under the label of smart city and big data, subsequent definitions became narrow and limited in defining urban informatics mainly as big data analytics for efficiency and productivity gains in city contexts – unless the arts and social sciences are added to the interdisciplinary mix. This specialisation within urban informatics is sometimes referred to as 'data-driven, networked urbanism' or urban science. Three examples:
Informatics At the Indiana University School of Informatics (Bloomington, Indianapolis and Southeast), informatics is defined as "the art, science and human dimensions of information technology" and "the study, application, and social consequences of technology." It is also defined in Informatics 101, Introduction to Informatics as "the application of information technology to the arts, sciences, and professions." These definitions are widely accepted in the United States, and differ from British usage in omitting the study of natural computation.
Environmental informatics Environmental informatics is the science of information applied to environmental science. As such, it provides the information processing and communication infrastructure to the interdisciplinary field of environmental sciences aiming at data, information and knowledge integration, the application of computational intelligence to environmental data as well as the identification of environmental impacts of information technology. The UK Natural Environment Research Council defines environmental informatics as the "research and system development focusing on the environmental sciences relating to the creation, collection, storage, processing, modelling, interpretation, display and dissemination of data and information." Kostas Karatzas defined environmental informatics as the "creation of a new 'knowledge-paradigm' towards serving environmental management needs." Karatzas argued further that environmental informatics "is an integrator of science, methods and techniques and not just the result of using information and software technology methods and tools for serving environmental engineering needs."
Materials informatics This view is not universally held. A broader definition goes beyond the use of computational methods to carry out the same experimentation. An evolved view of informatics creates a framework in which a measurement or computation is not simply a data point but a step in an information-based learning process that uses the power of a collective to achieve greater efficiency in exploration. When properly organized, this framework crosses materials boundaries to uncover fundamental knowledge of the basis of physical, mechanical, and engineering properties.
Informatics Europe The charter of Informatics Europe is to ""foster the development of quality research and education"" in Information and Computer Sciences, also known as Informatics.
Laboratory informatics Laboratory informatics is the specialized application of information technology aimed at optimizing and extending laboratory operations. It encompasses data acquisition, instrument interfacing, laboratory networking, data processing, specialized data management systems (such as a chromatography data system), a laboratory information management system, scientific data management (including data mining and data warehousing), and knowledge management (including the use of an electronic lab notebook). It has become more prevalent with the rise of other "informatics" disciplines such as bioinformatics, cheminformatics and health informatics. Several graduate programs are focused on some form of laboratory informatics, often with a clinical emphasis. A closely related - some consider subsuming - field is laboratory automation.
Materials informatics The overarching goals of bioinformatics and systems biology may provide a useful analogy. Andrew Murray of Harvard University expresses the hope that such an approach "will save us from the era of "one graduate student, one gene, one PhD". Similarly, the goal of materials informatics is to save us from one graduate student, one alloy, one PhD. Such goals will require more sophisticated strategies and research paradigms than applying computational methods to the same tasks set currently undertaken by students.
Population informatics To study social, behavioral, economic, and health sciences using the massive data collections, aka social genome data, about people. The primary goal of population informatics is to increase the understanding of social processes by developing and applying computationally intensive techniques to the social genome data.
Genomic and Medical Data OHDSI: It stands for Observational Health Data Sciences and Informatics (OHDSI) and was initiated in 2013. It is a multi-stakeholder, interdisciplinary collaborative that is striving to bring out the value of observational health data through large-scale analytics. The main objective of OHDSI is to establish a research community for observational health data sciences that enables active engagement across multiple disciplines spanning multiple stakeholder groups.
Materials data management Materials data is a critical resource for manufacturing organizations seeking to enhance products, processes and, ultimately, profitability. This data describes the properties and processing of the materials that these organization uses - metals, alloys, plastics, composite materials, ceramics, etc. This data may come from a wide range of sources - e.g., materials testing, quality assurance, or measurement of product performance. The process by which manufacturers manage and use such information is one essential 'cog' in the larger machine that is the product lifecycle.
Behavior informatics Behavior informatics covers "behavior analytics" which focuses on analysis and learning of behavioral data.
Irrigation informatics Meteorological informatics, as with all informatics, are increasingly being used to handle the growing volumes of data that are available from sensors, remote sensing and scientific models. The Australian Bureau of Meteorology has recently implemented an XML data format, known as the Water Data Transfer Format (WDTF) and standard to be used by Australian government agencies and meteorological data suppliers when delivering data to the Bureau. This format includes specifications for evapotranspiration and other weather parameters that are useful for irrigation and may be used through implementations of irrigation informatics.
Urban informatics Although first mentions of the term date back as early as 1987, urban informatics did not emerge as a notable field of research and practice until 2006 (see History section). Since then, the emergence and growing popularity of ubiquitous computing, open data and big data analytics, as well as smart cities contributed to a surge in interest in urban informatics, not just from academics but also from industry and city governments seeking to explore and apply the possibilities and opportunities of urban informatics.