TurboAgent uses an LLM as coordinator for specialized agents to autonomously generate, predict, optimize, and validate turbomachinery designs, achieving R² > 0.91 agreement with CFD on a transonic compressor and 1.61% efficiency gains.
A question answering system for assembly process of wind turbines based on multi-modal knowledge graph and large language model[J]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design
TurboAgent uses an LLM as coordinator for specialized agents to autonomously generate, predict, optimize, and validate turbomachinery designs, achieving R² > 0.91 agreement with CFD on a transonic compressor and 1.61% efficiency gains.