Propelled partly by the Materials Genome Initiative, and partly by the algorithmic
developments and the resounding successes of data-driven efforts in other domains …

In metals additive manufacturing (AM), materials and components are concurrently made in
a single process as layers of metal are fabricated on top of each other in the near-final …

The fields of machining learning and artificial intelligence are rapidly expanding, impacting
nearly every technological aspect of society. Many thousands of published manuscripts …

Piezoelectric nanogenerators (PENG) and triboelectric nanogenerators (TENG) have
opened an exciting venue to sustainably harvest electrical energy from the environments …

Discovering new materials with excellent performance is a hot issue in the materials
genome initiative. Traditional experiments and calculations often waste large amounts of …

As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

Recent advances in computing power have enabled the generation of large datasets for
materials, enabling data-driven approaches to problem-solving in materials science …

Materials discovery is an incessant process and has been the landmark of human progress.
This article sees the evolution of materials discovery in generations, its current generation as …

Materials informatics employs techniques, tools, and theories drawn from the emerging
fields of data science, internet, computer science and engineering, and digital technologies …

A novel data science workflow is developed and demonstrated to extract process-structure
linkages (ie, reduced-order model) for microstructure evolution problems when the final …