AI CFD Scientist autonomously discovers a Spalart-Allmaras runtime correction reducing lower-wall Cf RMSE by 7.89% on the periodic hill at Reh=5600 while using a vision-language gate to detect 14 of 16 silent failures missed by solver checks.
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Pyomo.DoE gains callback-based support for eigenvalue optimality criteria (E- and ME-optimality) plus a new experiment-creation abstraction for uncertainty quantification in high-fidelity models.
The paper introduces Experiment-as-Code Labs as a declarative stack synthesizing AI agents, systems orchestration, and physical lab control for AI-driven discovery.
ARES OS 2.0 is an open-source orchestration suite that enables closed-loop autonomous experimentation through central control, UI tools, data management, and user-creatable modules communicating via protobuf and gRPC.
citing papers explorer
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AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents
AI CFD Scientist autonomously discovers a Spalart-Allmaras runtime correction reducing lower-wall Cf RMSE by 7.89% on the periodic hill at Reh=5600 while using a vision-language gate to detect 14 of 16 silent failures missed by solver checks.
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Optimal Experimental Design using Eigenvalue-Based Criteria with Pyomo.DoE
Pyomo.DoE gains callback-based support for eigenvalue optimality criteria (E- and ME-optimality) plus a new experiment-creation abstraction for uncertainty quantification in high-fidelity models.
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Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery
The paper introduces Experiment-as-Code Labs as a declarative stack synthesizing AI agents, systems orchestration, and physical lab control for AI-driven discovery.
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ARES OS 2.0: An Orchestration Software Suite for Autonomous Experimentation Systems and Self-Driving Labs
ARES OS 2.0 is an open-source orchestration suite that enables closed-loop autonomous experimentation through central control, UI tools, data management, and user-creatable modules communicating via protobuf and gRPC.