Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

Abstract: Wind disturbance presents a formidable challenge to the flight performance of multi-rotor small unmanned aerial vehicles (sUAVs). This paper presents a comprehensive review of techniques for ...

This repository contains code for our ICLR 2020 paper. We show how to train particle-based fluid simulation networks as CNNs using continuous convolutions. The code allows you to generate data, train ...

YouTube channel Ten Minute Physics posts a video of a physics-based simulation finished with computer graphics. Maltese Miller, the operator and NVIDIA employee ...

We present a Python implementation of a D- and E-region chemistry and ionization code called pyGPI5. Particle precipitation that penetrates into the E- and D-region of the ionosphere-thermosphere ...

GPUs have become a household name in High Performance Computing (HPC) systems over the last 15 years. However, programming GPUs is still largely a manual and arduous task, which requires expert ...

Physical scientists and engineering research and development (R&D) teams are embracing neural networks in attempts to accelerate their simulations. From quantum mechanics to the prediction of blood ...

This Lennard-Jones (LJ) fluid simulation Python codes, the accompanying Jupyter notebook, and the lab activity were written by: Gianmarc Grazioli, Ph.D. The lab activity includes a YouTube video, ...