David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Sabbadin, D.; Moro, S. Supervised Molecular Dynamics (SuMD) as a Helpful Tool to Depict GPCR-Ligand Recognition Pathway in a Nanosecond Time Scale. J. Chem. Inf ...

YouTuber and orbital mechanics expert Scott Manley has successfully landed a virtual Kerbal astronaut on the Mun, the in-game moon of Kerbal Space Program, using a ZX Spectrum home computer equipped ...

Studying and designing novel materials is a central application of quantum mechanics. Chemists, materials scientists, and physicists focus on subtle interactions in quantum materials and to uncover ...

A physics-based Python simulation exploring collision behavior in an AstroBlaster system, focusing on momentum transfer, impact modeling, and numerical computation techniques. #PythonPhysics #Collisio ...

Abstract: A Low-fidelity Physics-guided, High-fidelity Neural Simulation (LPHN-Sim) is devised for parallel-in-time dynamic simulation of networked microgrids (NMGs). Three contributions are presented ...

NVIDIA's Newton physics engine hits production release with 475x speedup over MJX, enabling Skild AI and Samsung to train manipulation policies at scale. NVIDIA released Newton 1.0 GA at GTC 2026, ...

Moju makes AI models physically admissible and auditable. It is a lightweight framework for enforcing physics constraints during training, composing dimensionless groups and constitutive models with ...

In this tutorial, we explore how to use NVIDIA Warp to build high-performance GPU and CPU simulations directly from Python. We begin by setting up a Colab-compatible environment and initializing Warp ...

Abstract: This paper introduces PyWiSim, a Python-based simulation framework designed for wireless systems that falls somewhere between a link simulator and a system simulator. Link simulators model ...