Apply computational principles, numerical algorithms, and programming implementation of thermodynamics of materials science. Learn the kinetics of microstructure development and ...

To achieve this, the following issues in current computational materials science must be resolved. The first target is to build an appropriate model of the real system in cyberspace. In computational ...

Michigan Engineering professors Elizabeth Holm and Nicholas Kotov are among the newest members of the National Academy of Engineering—one of the highest honors bestowed on engineers in the United ...

The graduate programs in materials science and engineering from Drexel Engineering engage you in learning and research at the forefront of materials science. Students graduate prepared for careers in ...

Skoltech and MIPT researchers have sped up the search for high-performance metal alloys for the aerospace industry, ...

Researchers at the University of Toronto have created this stunning material by merging machine learning (AI) with nanoscale ...

The team used computer models of computational fluid dynamics, then tested out the painstaking—yet reportedly ...

This course covers the theory and application of atomic-scale computational materials tools to model, understand, and predict the properties of real materials. The course will cover quantum-mechanical ...

Lehigh University researchers are pioneering AI-driven advancements in materials science with an $800,000 grant from the U.S. Department of Energy. Led by Dr. Chinedu Ekuma, the project focuses on ...

but at lower computational cost than DFT. This should enable us to solve a wide range of problems in chemistry, biology, and materials science. It's hard to know, at present, just how wide that ...