Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery

Research article (Nature Chemistry, 2024) · cited 52× · AI/ML
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Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery

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Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery. Retrieved May 24, 2026, from https://4ort.xyz/entity/sequential-closed-loop-bayesian-optimization-as-a-guide-for-organic-molecular-metallophotocatalyst-formulation-discovery
MLA “Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sequential-closed-loop-bayesian-optimization-as-a-guide-for-organic-molecular-metallophotocatalyst-formulation-discovery.
BibTeX @misc{4ortxyz_sequential-closed-loop-bayesian-optimization-as-a-guide-for-organic-molecular-metallophotocatalyst-formulation-discovery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery}}, year = {2026}, url = {https://4ort.xyz/entity/sequential-closed-loop-bayesian-optimization-as-a-guide-for-organic-molecular-metallophotocatalyst-formulation-discovery}, note = {Accessed: 2026-05-24}}
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