Newswise — In 2011, a small team at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) launched what would become the world's most-cited materials database. Today, the ...
Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for chemistry and materials discovery. Scientists know machine learning models ...
Artificial intelligence is becoming an essential tool in materials science, but its effectiveness depends on access to large, curated datasets. The Materials Project database, managed by Lawrence ...
Many techniques in computational materials science require scientists to identify the right set of parameters that capture the physics of the specific material they are studying. Calculating these ...
Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...
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 ...
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