… the applications of machine learning in Materials Discovery and … toward which to conduct
materials discovery and design. The … description of machine learning in materials science and …

… Common processes of machine learning in materials science A basic framework of materials
discovery and design based on ML methods is shown in Fig. 3, in which, three main steps …

… machine learning in material discovery, including data preprocessing, feature engineering,
machine learning … DFT calculations with machine learning for material discovery. Many …

… interest in machine learning (ML) for materials discovery has … common to materials informatics
discovery pipelines, such as … -driven materials discovery across a wide variety of materials …

… approach that uses machine-learning algorithms trained on … We used the resulting data to
train a machine-learning … building blocks, our machine-learning model outperformed traditional …

… qualities of the genetic algorithm with rapid machine learning. The approach is used to …
for accelerated materials discovery, eg, nanoalloy catalysts. The machine learning accelerated …

… This review focuses on the prediction of formation energy using machine learning and its
role in guiding the synthesis of new inorganic materials for energy-relevant applications. This …

… on supervised machine learning, currently the most employed paradigm in materials discovery.
However, examples may also be found which use unsupervised machine learning, and …

… learning. The motivation … materials discovery through machine learning based approaches
and the common pitfalls while employing such techniques. The TMS Machine Learning …

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 …