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.

This Research Topic is Volume II of a series. The previous volumes can be found here: Natural Disaster Prediction Based on Experimental and Numerical ...

A computational physics approach to modeling rigid object motion using spring forces in Python. This focuses on how spring ...

A large-scale fluid simulation tracking 100,000 particles as they settle through turbulent water has identified a previously ...

As humanity's exploration of the Earth's internal structure deepens, Earth's free oscillations, serving as crucial ...

The development, testing and production of new aircraft are associated with considerable project scheduling and financial risks that setbacks can jeopardize the existence of entire companies.