ArticleChem catalysis2026
A Practical Guide to Bayesian Optimization for Organic Chemists.
Article in Chem catalysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
Abstract
Bayesian optimization (BO) is a strategy for global optimization, based on iterative refinement of a machine learning model. This algorithm can aid chemists in finding the highest possible reaction outcome (e.g., yield,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.