Tsuda Lab.
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Kei Terayama
Researcher (RIKEN)
RIKEN
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Qcforever2: Advanced Automation of Quantum Chemistry Computations
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
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
Bayesian optimization package: PHYSBO
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
Integrating Incompatible Assay Data Sets with Deep Preference Learning
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