Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, ...

SimScale integrates Pamics solver to deliver meshless fluid dynamics simulation, accelerating workflows by 10-20x for ...

A Combination of Techniques Leads to Improved Friction Stir Welding The NESC developed several innovative tools and ...

Part 1 of a Python based simulation that models Faraday’s Law. Learn how electromagnetic induction can be visualized and studied using simple programming techniques. #physics #faradayslaw #pythonphysi ...

Part 2 of modeling Faraday’s Law using Python. This tutorial explores electromagnetic induction through code and simulation to better understand changing magnetic fields and induced currents. #physics ...

In this simulation, 66 of the 100 needles crossed a line (you can count ’em). Using this number, we get a value of pi at ...

Abstract: This paper introduces a fast, datasheet-driven analytical model for estimating the switching energy loss in MOSFETs, achieving reasonable accuracy (minimum ...

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and ...

The computer-generated "ideal glass" solves a 75-year-old physics paradox and promises revolutionary materials.

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a system called PhysiOpt, that integrates generative artificial intelligence (genAI) with physics ...

This project aims to develop a computational framework combining computer vision, computer graphics, and machine learning to accelerate and improve the design and simulation of camera lenses.

Abstract: Fast simulation of power grid dynamics under multi-contingency (e.g., $N{-}k$ events and cascading failures) is crucial for identifying vulnerabilities and ...