AI RESEARCH
Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation
arXiv CS.LG
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ArXi:2603.12618v1 Announce Type: new Optimization for different tasks like material characterization, synthesis, and functional properties for desired applications over multi-dimensional control parameters need a rapid strategic search through active learning such as Bayesian optimization (BO). However, such high-dimensional experimental physical descriptors are complex and noisy, from which realization of a low-dimensional mathematical scalar metrics or objective functions can be erroneous.