We provide a brief discussion of “What is machine learning?” and then give a number of
examples of how these methods have recently aided the design and discovery of new …

Machine learning (ML) has become a part of the fabric of high-throughput screening and
computational discovery of materials. Despite its increasingly central role, challenges …

We are excited to present this Special Topic collection on Machine Learning for Materials
Design and Discovery in the Journal of Applied Physics. With a wide range of exciting and …

The multiscale design of soft materials requires an ensemble of computational techniques
spanning quantum-chemistry to molecular dynamics to continuum modeling. The recent …

The fields of machining learning and artificial intelligence are rapidly expanding, impacting
nearly every technological aspect of society. Many thousands of published manuscripts …

Artificial intelligence (AI) has received widespread attention over the last few decades due to
its potential to increase automation and accelerate productivity. In recent years, a large …

In Computational Materials Design (CMD), it is well recognized that identifying key
microstructure characteristics is crucial for determining material design variables. However …

Materials-by-design is a paradigm to develop previously unknown high-performance
materials. However, finding materials with superior properties is often computationally or …

This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …

In this article we provide an overview on the current and emerging applications of machine
learning (ML) in the design, synthesis, and characterization of metal matrix composites …