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

Breakthroughs in molecular and materials discovery require meaningful outliers to be
identified in existing trends. As knowledge accumulates, the inherent bias of human intuition …

Recent advances in experimental and computational methods are increasing the quantity
and complexity of generated data. This massive amount of raw data needs to be stored and …

This Methods/Protocols article is intended for materials scientists interested in performing
machine learning-centered research. We cover broad guidelines and best practices …

Thermoelectric generators (TEGs) can directly convert waste heat into electrical power. In
the last few decades, most research on thermoelectrics has focused on inorganic bulk …

Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to
achieve desired biological responses. While there is constant evolution and innovation in …

Thermoelectric devices enable the direct conversion of heat flux into electrical energy, which
have attracted considerable research interests for energy harvesting to address the …

Ab initio electronic structure modelling is capable of providing an insight into the
fundamental properties of solid-state materials, at a resolution beyond that of experimental …

Abstract Two-dimensional (2D) magnetism with a high Curie temperature (T c) has been the
pursuit of generations for its potential application in spintronic devices. Meanwhile, some …

This paper presents tables of key thermoelectric properties, which define thermoelectric
conversion efficiency, for a wide range of inorganic materials. The twelve families of …