Exascale Aurora helps scientists model fusion plasma and train AI to predict reactor disruptions. Aurora, one of the fastest supercomputers in the world, is now being used to simulate one of science’s ...

Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

To operate fusion systems safely and reliably, scientists need to monitor plasma fuel conditions and measure properties like ...

Rust Solana program for CrazySol, an on-chain pyramid economy simulation game built with Anchor. Features bonding curve tokenomics, yield generation, multi-level referral system, and daily streak ...

Learn how to create a circular flying pig simulation in Python in this step-by-step tutorial! This video breaks down the coding process, making it simple for beginners and Python enthusiasts to follow ...

The PALLAS simulation framework is a Geant4-based toolkit for modeling plasma-accelerated particle beams. It integrates traditional Monte Carlo methods with machine learning-based ONNX beam generation ...

Nanofabrication engineers often rely on fluorocarbon-based plasmas to etch silicon dioxide (SiO₂), but polymerization from these chemistries can cause non-uniformity and process drift. Bernet et al.

Abstract: This paper presents a simulation framework for modeling visible light communication systems that employ color shift keying modulation and rolling shutter image sensors. Implemented as a ...