Tsuda Lab.
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田村 亮
講師
東京大学
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Bayesian optimization package: PHYSBO
Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring
Continuous black-box optimization with an Ising machine and random subspace coding
Self-learning entropic population annealing for interpretable materials design
De novo creation of a naked eye–detectable fluorescent molecule based on quantum chemical computation and machine learning
Integrating Incompatible Assay Data Sets with Deep Preference Learning
Determination of quasi-primary odors by endpoint detection
Black-Box Optimization for Automated Discovery
Machine learning-driven optimization in powder manufacturing of Ni-Co based superalloy
Pushing property limits in materials discovery via boundless objective-free exploration
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