Today at Berkeley Lab

Machine Learning Enhances Predictive Modeling of 2-D Materials

Researchers from Argonne National Laboratory, using supercomputers at Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC), are employing machine learning algorithms to accurately predict the physical, chemical, and mechanical properties of nanomaterials, reducing the time it takes to yield such predictions from years to months—in some cases even weeks. This approach could help accelerate the discovery and development of new materials. More>

You can leave a comment. View the Comment Policy.

Leave a Reply