Author

A. Farimani

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Preprint Oct 2026

CFD Forge: A Physics-Constrained Agentic Framework for Autonomous CFD

Setting up, running, and assessing a computational fluid dynamics (CFD) simulation requires substantial manual effort, from meshing and solver setup to diagnosis and interpretation, and repeating it across design variants slows engineering iteration. We present CFD Forge, an agentic framework built around OpenFOAM that...

Aakash Shailesh Oza, Ryan F. Johnson, A. Farimani · 0 citations

#machine learning Preprint Oct 2026

Cross-Domain Pretraining for Steady-State Neural CFD Surrogates

This work finds that cross-domain pretraining improves zero- and few-shot performance on held-out datasets relative to both training from scratch and transferring from domain-specific experts, and finds that simply pooling steady-state datasets is both sufficient and effective.

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