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- W4200344324 abstract "In this contribution, we discuss how Data Science, Machine Learning, and Artificial Intelligence have been increasingly used to understand better and design metallic materials systems. We begin by providing some historical perspectives, basic concepts, and significant elements of data-driven materials discovery/design workflows. The contribution concludes by presenting some very recent developments related to closed-loop optimal frameworks for accelerated materials discovery, including the concept of autonomous research platforms." @default.
- W4200344324 created "2021-12-31" @default.
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- W4200344324 date "2022-01-01" @default.
- W4200344324 modified "2023-10-18" @default.
- W4200344324 title "Data Science, Machine Learning and Artificial Intelligence Applied to Metals and Alloys Research: Past, Present, and Future" @default.
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- W4200344324 doi "https://doi.org/10.1016/b978-0-12-819726-4.00078-8" @default.
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