Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …

Data‐driven science is heralded as a new paradigm in materials science. In this field, data is
the new resource, and knowledge is extracted from materials datasets that are too big or …

Materials informatics provides the foundations for a new paradigm of materials discovery. It
shifts our emphasis from one of solely searching among large volumes of data that may be …

Materials informatics has been gaining popularity with the rapid development of
computational materials science. However, collaborations between information science and …

Conspectus The world needs new materials to stimulate the chemical industry in key sectors
of our economy: environment and sustainability, information storage, optical …

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

Machine learning, applied to chemical and materials data, is transforming the field of
materials discovery and design, yet significant work is still required to fully take advantage of …

Accelerating materials discovery has been the theme of a number reports from the
Department of Energy's Office (DOE) of Basic Energy Science (BES), the National Science …

This chapter addresses the fourth paradigm of materials research–big data-driven materials
science. Its concepts and state of the art are described, and its challenges and chances are …

Materials informatics: a 'hot topic'area in materials science, aims to combine traditionally bio-
led informatics with computational methodologies, supporting more efficient research by …