Tsuda Lab.
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Ryo Tamura
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The University of Tokyo
Latest
Open electrolyte database generated via an automated molecular dynamics simulation framework
Black-box optimization using factorization and Ising machines
Collecting diverse near-optimal samples via nested Thompson sampling
Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black-Box Optimization With Reverse Quantum Annealing
Molecular Design with Artificial Intelligence: Progress and Perspectives for Small Molecules
Bayesian diversity control for batch-based phase diagram determination
aLLoyM: a large language model for alloy phase diagram prediction
Predicting symmetric structures of large crystals with GPU-based Ising machines
Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation
Harnessing Explainable AI to Explore Structure–Activity Relationships in Artificial Olfaction
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