Lawrence Berkeley National Laboratory

Accelerating Discovery: How the Materials Project Is Helping to Usher in the AI Revolution for Materials Science

The Materials Project is the most-cited resource for materials data and analysis tools in materials science. The Materials Project and its tools have been cited more than 32,000 times in peer-reviewed ...
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
mccormick.northwestern.edu

New Computational Approach Speeds Design of Functionally Graded Materials

Academics OverviewExplore our degrees, programs, courses, and other enrichment opportunities. All Areas of StudyView a chart of all study areas cross-categorized by degree type. Undergraduate Study ...
mccormick.northwestern.edu

Scaling MAT_SCI 331's 3D Printing Resin Design Laboratories with Dynamic Covalent Chemistries and Computational Methods

Professor Truby used his 2023 Murphy Society Award, "Resin Design Laboratories for 3D Printing of Soft, Functional Materials," to transform MAT_SCI 331: Soft Materials from a lecture-centered ...
National Academies of Sciences%2c Engineering%2c and Medicine

Computational and Theoretical Techniques for Materials Science

Unfortunately, this book can't be printed from the OpenBook. Visit NAP.edu/10766 to get more information about this book, to buy it in print, or to download it as a free PDF.