Published January 2006
by Materials Research Society .
Written in English
|The Physical Object|
|Number of Pages||356|
Materials science informatics is rooted in an analogous need to “translate” physical sciences research and discoveries into materials-based solutions to address a broad range of issues and challenges for business, government, and the environment. We discuss general principles of combinatorial materials . Combinatorial materials science offers an exciting experimental strategy for rapidly surveying a wide array of materials chemistries and process variables coupled to the screening of structure and. Purchase Informatics for Materials Science and Engineering - 1st Edition. Print Book & E-Book. ISBN , Price: $ Combinatorial experiments aim to create large amounts of data and information, and managing that data is a challenge. This article will focus on how to scientifically interpret the data generated from combinatorial .
Combinatorial Materials Science is the rapid synthesis and analysis of large numbers of compositions in parallel, created through many combinations of a relatively small number of starting materials. It is, therefore, essential that for a truly combinatorial . High-throughput experimentation is effective in systematically producing large and diverse data sets. The marriage of combinatorial materials science and informatics is a natural one, and results are beginning to emerge from the integration of elements of materials informatics with data from combinatorial . Combinatorial experiments aim to create large amounts of data and information, and managing that data is a challenge. This article will focus on how to scientifically interpret the data generated from combinatorial . What is “materials informatics”? 2. Why do we need informatics for materials science and engineering? 3. What experimental and computational resources and tools are needed to enable materials informatics? • Data generation / combinatorial .
Some of the concepts and topics to be covered in this book are introduced, including information networks, data mining, databases, and combinatorial experiments to mention a few. The value of “materials informatics” lies in its ability to permit one to survey complex, multiscale information . Combinatorial methods are high-efficiency methods to create large composition “libraries” of materials, for example, continuous composition variations, and test those compositions systematically . Description Combinatorial Materials Science describes new developments and research results in catalysts, biomaterials, and nanomaterials, together with informatics approaches to the analysis of Combinatorial Science (CombiSci) data. CombiSci has been used extensively in the pharmaceutical industry, but there is enormous potential in its application to materials . Since at least the mids, combinatorial approaches, which involve high-throughput synthesis and characterization of multiple-alloy compositions, have been used in materials science to rapidly.