Rapid discovery of high hardness multi-principal-element alloys using a generative adversarial network model

Ankit Roy; Aqmar Hussain; Prince Sharma; Ganesh Balasubramanian; M. F. N. Taufique; Ram Devanathan; Prashant Singh; D. D. Johnson

doi:10.1016/j.actamat.2023.119177

JOURNAL ARTICLE

Rapid discovery of high hardness multi-principal-element alloys using a generative adversarial network model

Ankit Roy Aqmar Hussain Prince Sharma Ganesh Balasubramanian M. F. N. Taufique Ram Devanathan Prashant Singh D. D. Johnson

Year: 2023 Journal: Acta Materialia Vol: 257 Pages: 119177-119177 Publisher: Elsevier BV

DOI: 10.1016/j.actamat.2023.119177

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Keywords:

Materials science Materials informatics Chemical space Generative grammar Stability (learning theory) Artificial neural network Frame (networking) Principal component analysis Process (computing) Artificial intelligence Computer science Machine learning Mechanical engineering Health informatics Engineering

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High Entropy Alloys Studies

Physical Sciences → Engineering → Mechanical Engineering

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Additive Manufacturing Materials and Processes

Physical Sciences → Engineering → Mechanical Engineering

Rapid discovery of high hardness multi-principal-element alloys using a generative adversarial network model

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