Tsuda Lab.
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隅田 真人
研究員 (理研)
理化学研究所
Latest
Theoretical Insight into the Origin of Dielectric and Magnetoelectric FeCo Alloy–Metal Fluoride Insulators
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
ChemTSv2: Functional molecular design using de novo molecule generator
Automatic Rietveld refinement by robotic process automation with RIETAN-FP
QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization
Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring
De novo creation of a naked eye–detectable fluorescent molecule based on quantum chemical computation and machine learning
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