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physics.comp-ph2026
Large Language Model Based Agent for Automated Discovery in Computational Physics
Hang Lin, Chongwen Liu, Gang Yan
Scientific discovery in computational physics can often be framed as the optimization of quantitatively evaluable objectives subject to physical constraints. While researchers exce…
cs.LG2026
Accelerating PDE Surrogates via RL-Guided Mesh Optimization
Yang Meng, Ruoxi Jiang, Zhuokai Zhao +3
Deep surrogate models for parametric partial differential equations (PDEs) can deliver high-fidelity approximations but remain prohibitively data-hungry: training often requires th…