Accelerating the discovery of new molecules and materials, as well as developing green
and sustainable ways to synthesize them, will help to address global challenges in energy …

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

The appropriate catalysts can accelerate the reaction rate and effectively boost the efficient
conversion of various molecules, which is of great importance in the study of chemistry …

As materials researchers increasingly embrace machine-learning (ML) methods, it is natural
to wonder what lessons can be learned from other fields undergoing similar developments …

Solutions to many of the world's problems depend upon materials research and
development. However, advanced materials can take decades to discover and decades …

One of the most exciting tools that have entered the material science toolbox in recent years
is machine learning. This collection of statistical methods has already proved to be capable …

Reversibly intercalating ions into host materials for electrochemical energy storage is the
essence of the working principle of rocking-chair type batteries. The most relevant example …

Managing artificial intelligence (AI) marks the dawn of a new age of information technology
management. Managing AI involves communicating, leading, coordinating, and controlling …

Abstract Machine learning (ML) is rapidly revolutionizing many fields and is starting to
change landscapes for physics and chemistry. With its ability to solve complex tasks …

Discovering and optimizing commercially viable materials for clean energy applications
typically takes more than a decade. Self-driving laboratories that iteratively design, execute …