AI models trained on physics are slashing the time needed for complex engineering simulations, enabling faster design iterations across industries like automotive, aerospace, and materials science. By ...

The shift from slow, manual simulation to fast, automated optimisation using deep learning is unlocking better designs and faster time to market, says Jacomo Corbo, CEO and Co-Founder of PhysicsX.

Keywords: Numerical tests. Cyclic loading protocol. Building system performance. Lateral loads. Distribution. Pushover analyses. Reinforced concrete (RC). Special ...

Top: SEAMOUR, the robotic sea lion. Bottom: Its digital twin. A Drexel Engineering team has developed a highly accurate numerical model that predicts how their bio-robotic sea lion swims and maneuvers ...

This Research Topic highlights recent advances in fractal geometry, fractional calculus, and artificial intelligence (AI) for addressing complex problems in ...

Ordinary finite differences -- Divided differences -- Central differences -- Inverse interpolation and the solution of equations -- Computation with series and integrals -- Numerical solution of ...