Industrial materials informatics: Analyzing large-scale data to solve applied problems in R&D, manufacturing, and supply chain
Source abstract
Abstract
Abstract In this review, we discuss current and potential future applications for materials informatics in industry. We include in this discussion not only the traditional materials and chemical industries, but also other manufacturing-intensive sectors, which broadens the relevance of materials informatics to a large proportion of the economy. We describe several high-level use cases, drawing upon our experience at Citrine Informatics working in materials and manufacturing, although we omit any details that could be considered customer-proprietary. We note that a converging set of factors, including executive-level corporate demand for Big Data technologies, increasing availability of large-scale materials data, drive for greater competitiveness in manufacturing, and advances in machine learning, will lead to a rapid increase in industrial application of materials informatics over the next several years.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Machine Learning in Materials Science
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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