Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Abstract: This paper addresses the closed-loop control of an 8/6 Switched Reluctance Motor (SRM) based on a co-simulation methodology involving multiple platforms. The motor is initially modeled with ...

Abstract: Accurate modeling of wind turbine units is key to analyzing the impact of large-scale wind power integration on grid stability, safety, and reliability. However, traditional mechanistic ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

The rumored touchscreen OLED MacBook Pro that Apple has in development will adopt the iPhone's Dynamic Island and a ...

Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...

One way to build these skills is to move from theory-based education to simulation-based education, though this can require an organizational shift in how knowledge is transferred. As AI systems ...

Vinci announced the availability of its second core physics capability: thermo-mechanical simulation that predicts “warpage” in hardware designs.

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...