Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...

In engineering, understanding how different elements of physics interact can make all the difference between a crappy design and superior performance. Whether designing the heating element of a kettle ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

Quantum chaos describes chaotic classical dynamical systems in terms of quantum theory, but simulations of these systems are limited by computational resources. However, one team seems to have found a ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

Embodied AI is central to modern autonomous driving systems. These systems do not merely perceive the environment; they ...

The breakthrough could suggest a way to study 'quantum gravity,' the missing link between quantum physics and Einstein's general relativity in the lab. When you purchase through links on our site, we ...

Nvidia announced its Nvidia Omniverse Blueprint, a technology that enables industry software developers to build digital twins with realistic real-time physics. It enables computer-aided engineering ...