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arXiv3d ago
5.3

AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow

Jiale Liu, Nanzhe Wang

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty9/10
Categorypaper
Topics
multi-agentsurrogate-modelingscientific-ml

Opportunity Brief

Construct a multi-agent framework that automates the ML pipeline for subsurface flow surrogate models. This helps domain scientists generate complex physics-based ML models without needing deep ML expertise.

Suggested repo: FlowAgent

"AI agents that build complex physics surrogate models for you."

Estimated effort: 120h