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A. Farimani

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#machine learning Preprint Oct 2026

Cross-Domain Pretraining for Steady-State Neural CFD Surrogates

Neural surrogates for computational fluid dynamics (CFD) have the potential to greatly enhance engineering innovation through accelerating simulation. However, the primary limitation for neural surrogates is the lack of generalization to geometries and applications beyond the training set, which is significant given th...

Anthony Zhou, A. Farimani, Shirley Ho et al. · 0 citations
#natural language process... Preprint Apr 2026

PolyJarvis: An LLM-Orchestrated Agent for Automated All-Atom Molecular Dynamics of Amorphous Homopolymers

PolyJarvis is a platform in which a planning agent produces a validated run plan that deterministic stage scripts execute through established simulation toolkits, Enhanced Monte Carlo for system construction and LAMMPS for molecular dynamics, exposed as Model Context Protocol (MCP) servers.

Alexander Zhao, Achuth Chandrasekhar, A. Farimani · 8 citations

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