… in an active learning manner. Additionally, we discuss such advanced machine learning
methods as multiobjective and multifidelity optimization that permit proposing new materials …

… and short development cycle, machine learning is coupled with … used in material detection,
material analysis, and material design. … in analyzing material properties via machine learning, …

… , high-cost, and unsustainability in materials design. Meanwhile, numerous experimental
and … Machine learning (ML), as a burgeoning approach in materials science, may dig out the …

… machine learning (ML) methods have opened new paradigms for the discovery and rational
design of materials. … for employing ML approaches in materials research are highlighted. We …

… machine learning can potentially solve some of our challenges on the way to rational materials
design… and their applications in rational materials design, followed by a discussion on …

… This Machine Learning Special Topic collection presents a representative sample of the …
the broader physics and materials communities. Since the editorial is designed for both experts …

… materials discovery and for other purposes. Finally, we discuss problems related to machine
learning in materials … Machine learning is applied in materials design and discovery mainly …

… materials and mechanical engineering, attributed to its power to predict materials properties,
design de novo materials … of novel materials soars, the material design problem to optimize …

… , and machine learning (ML) algorithms. The broader context of computational acceleration
in materials design … and their ability to facilitate materials design. The different approaches to …

… for the discovery of new materials and the prediction of … of machine learning in material
science. This review will be beneficial for future application of machine learning in more material …