Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

(Santa Barbara, Calif.) — Chris Van de Walle, a distinguished professor of materials at UC Santa Barbara, has been awarded the American Physical Society’s 2025 Aneesur Rahman Prize for Computational ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

Advance your expertise in critical areas of aerospace science and technology with UMass Lowell's Ph.D. in Aerospace Engineering. Through rigorous training in experimental and computational methods, ...

Google DeepMind and collaborators have developed Euclidean Fast Attention (EFA), a machine learning method that more efficiently models global atomic interactions in complex chemical systems. This ...