Tsuda Lab.
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Ryo Tamura
Lecturer
The University of Tokyo
Latest
Automated odor-blending with one-pot Bayesian optimization
Revealing factors influencing polymer degradation with rank-based machine learning
Koopmans’ Theorem-Compliant Long-Range Corrected (KTLC) Density Functional Mediated by Black-Box Optimization and Data-Driven Prediction for Organic Molecules
Ranking Pareto optimal solutions based on projection free energy
Interpretable Fragment-Based Molecule Design with Self-Learning Entropic Population Annealing
NIMS-OS: an automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
Chemical design with GPU-based Ising machines
Quantum Annealing Designs Nonhemolytic Antimicrobial Peptides in a Discrete Latent Space
Understanding Chemical Processes with Entropic Sampling
Automatic Rietveld refinement by robotic process automation with RIETAN-FP
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