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Emerging Microelectronic Materials by Design:Navigating Combinatorial Design Space with Scarce and Dispersed Data
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作者 Hengrui Zhang Alexandru B.Georgescu +5 位作者 Suraj Yerramilli Christopher Karpovich Daniel W.Apley Elsa A.Olivetti James M.Rondinelli Wei Chen 《Accounts of Materials Research》 2025年第6期730-741,共12页
CONSPECTUS:The increasing demands of sustainable energy,electronics,and biomedical applications call for next-generation functional materials with unprecedented properties.Of particular interest are emerging materials... CONSPECTUS:The increasing demands of sustainable energy,electronics,and biomedical applications call for next-generation functional materials with unprecedented properties.Of particular interest are emerging materials that display exceptional physical properties,making them promising candidates for energy-efficient microelectronic devices.As the conventional Edisonian approach becomes significantly outpaced by growing societal needs,emerging computational modeling and machine learning methods have been employed for the rational design of materials. 展开更多
关键词 edisonian approach dispersed data biomedical applications machine learning methods combinatorial design space computational modeling scarce data emerging materials display exceptional physical propertiesmaking
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