Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

We are entering a new era in science — the fourth paradigm, according to Kristin Persson, a professor in materials science at the University of California in Berkeley, United States. The first ...

research laboratory to study “bad bubbles” that cause defects in metal alloys used to produce engine turbine blades and semiconductor crystals that are crucial components in electronic devices.

Professor Toshiaki Taniike is pioneering the integration of data science and materials chemistry to accelerate the discovery of advanced materials. His research in materials informatics uses machine ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Materials are a necessity for all engineering applications. Materials science and engineering seeks to understand the fundamental physical origins of material behavior in order to optimize properties ...

Explore the scientific lessons gained from beta backscattering experiments and how DIY testing reveals material properties.

This chapter is divided into two sections. The first section is an overview of the materials-science microgravity research program implemented by the National Aeronautics and Space Administration ...

The graduate program in materials science and engineering from Drexel Engineering deepens skillsets and knowledge to enhance your academic qualifications and skills to advance careers in this ...