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cs.LG2026
From Prompt to Protocol: Fast Charging Batteries with Large Language Models
Ge Lei, Ferran Brosa Planella, Sterling G. Baird +1
Efficiently optimizing battery charging protocols is challenging because each evaluation is slow, costly, and non-differentiable. Many existing approaches address this difficulty b…
cs.LG2025
Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental Sciences
Sterling G. Baird, Andrew R. Falkowski, Taylor D. Sparks
Bayesian optimization (BO) has emerged as a powerful tool for guiding experimental design and decision-making in various scientific fields, including materials science, chemistry,…