Scientific Computing

2 summarised stories about Scientific Computing, each linking back to the original source. Browse all topics →

Friday, 17 July 2026

LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research

arXiv cs.AI 6 hours ago

LQCDMaster is an AI agent that converts natural-language physics research requests into executable computational workflows for lattice quantum chromodynamics studies. The system successfully reproduced expert implementations in 63 of 70 benchmark tasks and reduced implementation time from hours to minutes while maintaining numerical accuracy. This lowers barriers for LQCD research by automating workflow generation and enabling exploration of non-standard computational approaches.

AI Agents AI & Physics Code Generation Scientific Computing

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks

arXiv cs.AI 6 hours ago

Researchers proposed LIGO-PINN, a framework that improves the weight initialization of physics-informed neural networks to reduce convergence failures when modeling partial differential equations. The method achieved 91.5% average performance improvement across six baselines and demonstrated effectiveness on 1D, 2D, and 3D PDE domains including fluid dynamics problems. This approach addresses a previously under-investigated aspect of PINN training that complements existing hyperparameter tuning and curriculum learning strategies.

AI Optimization & Training Physics-Informed Neural Networks Scientific Computing