A simulation-only study on a UR5 robot arm shows Gaussian Process Regression most accurately predicts joint torques, while ...
A new commentary argues that AI models trained on molecular dynamics data are more reliable when built from multiple short, ...
More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...
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 ...
A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
Computer scientists at the University of California San Diego have developed a method for generating highly realistic computer-generated images of fluid dynamics in elements such as smoke. This ...
Simulation models guide million-dollar inventory decisions, staffing patterns that affect patient care and investment strategies that manage pension funds. Yet many organizations still treat them as ...
Computational analysis using rigidity-theory indicates that activation of the human adenosine A 2A receptor (shown here) is regulated by long-range allosteric communication pathways (highlighted in ...
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