Human motion prediction and simulation represent a rapidly evolving interdisciplinary field that integrates biomechanics, computer science and optimisation techniques to develop digital human models ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

Professor Xinfeng Gao directs the multi-university SAGEST Center, headquarted at UVA Engineering, which brings together advanced computing, data analytics and engineering to model extreme environments ...

Abstract: A deeper understanding of the physics of atmospheric flow in the critical zone of wind-plant operation simulation is a grand challenge problem in the science of wind energy. High-fidelity ...

Prediction promises control. Simulation embraces uncertainty. When business strategy is rooted in historical data alone, it assumes the world will repeat itself. Today’s leaders need more than ...

A German-Dutch research team, including scientists from the University of Bayreuth, has investigated how age-related changes contribute to an increased risk of falling in older adults. Using computer ...

Domo Chemicals has introduced a workflow simulation tool for polyamide parts that come in contact with water and coolant as part of a collaborative project with partners Toyota, Renault, SOGEFI, ...

Excessive resistance against the movement of adjacent plies, or ply-ply friction, can lead to process-induced defects during hot press forming of thermoplastic composite laminates. To avoid the ...

Predictive maintenance and digital twin technologies use real-time aircraft data and advanced analytics to help MROs increase ...

Whether it’s who is going to win an upcoming election, how a pandemic will unfold next month, or just what we plan to have for lunch, human beings are cognitively wired to think about—and want to know ...