Predicting material properties remains a major challenge in materials science, as it often requires complex and ...
Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...
USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...
Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that omits traditional physics constraints like energy conservation and equivariance.
Right now, the world’s best weather forecast model is a General Circulation Model, or GCM, put together by the European Center for Medium-Range Weather Forecasts. A GCM is in part based on code that ...
Abstract: The AFOSR MURI effort, titled “A Robust Multi-Physics Design Analysis and Optimization Framework for Hypersonic Systems Grounded in Rigorous Model Reduction,” unites a multi-disciplinary ...
The use of better-quality data can improve the business case for a number of solar projects. Image: Photon Group. The integrity of a PV project largely depends on the quality of the solar, ...
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