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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,…
cs.LG2024★ 5 cited
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141
Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…