The age of cognitive computing and artificial intelligence (AI) is just dawning. Inspired by its
successes and promises, several AI ecosystems are blossoming, many of them within the …

Machine learning (ML) and artificial intelligence (AI) are quickly becoming commonplace in
materials research. In addition to the standard workflow of fitting a model to a large set of …

The integration of artificial intelligence (AI) algorithms in materials design is revolutionizing
the field of materials engineering thanks to their power to predict material properties, design …

Discovering and understanding new materials with desired properties are at the heart of
materials science research, and machine learning (ML) has recently offered special …

Applied machine learning has rapidly spread throughout the physical sciences. In fact,
machine learning-based data analysis and experimental decision-making have become …

The advent of big data and algorithmic developments in the field of machine learning (and
artificial intelligence, in general) have greatly impacted the entire spectrum of physical …

Combining materials science, artificial intelligence (AI), physical chemistry, and other
disciplines, materials informatics is continuously accelerating the vigorous development of …

Machine learning and artificial intelligence (AI/ML) methods are beginning to have
significant impact in chemistry and condensed matter physics. For example, deep learning …

We provide a review of machine learning (ML) tools for material discovery and sophisticated
applications of different ML strategies. Although there have been a few published reviews on …

Artificial intelligence (AI) is gaining strength, and materials science can both contribute to
and profit from it. In a simultaneous progress race, new materials, systems, and processes …