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Machine Learning-Based Methods for Materials Inverse Design: A Review

Yingli Liu, Yuting Cui, Haihe Zhou, Tao Shen, Sheng Lei, Haibin Yuan, Jiancheng Yin

2025Computers, materials & continua/Computers, materials & continua (Print)23 citationsDOIOpen Access PDF

Abstract

Finding materials with specific properties is a hot topic in materials science. Traditional materials design relies on empirical and trial-and-error methods, requiring extensive experiments and time, resulting in high costs. ... | Find, read and cite all the research you need on Tech Science Press

Topics & Concepts

Computer scienceInverseArtificial intelligenceMathematicsGeometryMachine Learning in Materials ScienceManufacturing Process and OptimizationAdditive Manufacturing and 3D Printing Technologies
Machine Learning-Based Methods for Materials Inverse Design: A Review | Litcius