Ryo Tamura
Cited by
Cited by
Quantum Spin Glasses, Annealing and Computation
S Tanaka, R Tamura, BK Chakrabarti
Cambridge University Press, 2017
Hunting for organic molecules with artificial intelligence: molecules optimized for desired excitation energies
M Sumita, X Yang, S Ishihara, R Tamura, K Tsuda
ACS central science 4 (9), 1126-1133, 2018
Designing metamaterials with quantum annealing and factorization machines
K Kitai, J Guo, S Ju, S Tanaka, K Tsuda, J Shiomi, R Tamura
Physical Review Research 2 (1), 013319, 2020
Black-Box Optimization for Automated Discovery
K Terayama, M Sumita, R Tamura, K Tsuda
Accounts of Chemical Research 54 (6), 1334-1346, 2021
Applicability of scaling behavior and power laws in the analysis of the magnetocaloric effect in second-order phase transition materials
C Romero-Muņiz, R Tamura, S Tanaka, V Franco
Physical Review B 94 (13), 134401, 2016
Machine learning-driven optimization in powder manufacturing of Ni-Co based superalloy
R Tamura, T Osada, K Minagawa, T Kohata, M Hirosawa, K Tsuda, ...
Materials & Design 198, 109290, 2021
Efficient construction method for phase diagrams using uncertainty sampling
K Terayama, R Tamura, Y Nose, H Hiramatsu, H Hosono, Y Okuno, ...
Physical Review Materials 3 (3), 033802, 2019
Optimization of a Heterogeneous Ternary Li3PO4–Li3BO3–Li2SO4 Mixture for Li-Ion Conductivity by Machine Learning
K Homma, Y Liu, M Sumita, R Tamura, N Fushimi, J Iwata, K Tsuda, ...
The Journal of Physical Chemistry C 124 (24), 12865-12870, 2020
Data-driven nanomechanical sensing: specific information extraction from a complex system
K Shiba, R Tamura, G Imamura, G Yoshikawa
Scientific Reports 7 (1), 3661, 2017
Phase transition in Potts model with invisible states
R Tamura, S Tanaka, N Kawashima
Progress of theoretical physics 124 (2), 381-388, 2010
Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis
K Shiba, R Tamura, T Sugiyama, Y Kameyama, K Koda, E Sakon, ...
ACS sensors 3 (8), 1592-1600, 2018
First-Order Transition to Incommensurate Phase with Broken Lattice Rotation Symmetry in Frustrated Heisenberg Model
R Tamura, N Kawashima
J. Phys. Soc. Jpn. 77 (10), 103002, 2008
Bayesian optimization package: PHYSBO
Y Motoyama, R Tamura, K Yoshimi, K Terayama, T Ueno, K Tsuda
Computer Physics Communications 278, 108405, 2022
Entanglement spectra of the quantum hard-square model: Holographic minimal models
S Tanaka, R Tamura, H Katsura
Physical Review A 86 (3), 032326, 2012
Machine learning for atomic forces in a crystalline solid: Transferability to various temperatures
T Suzuki, R Tamura, T Miyazaki
International Journal of Quantum Chemistry 117 (1), 33-39, 2017
Pushing property limits in materials discovery via boundless objective-free exploration
K Terayama, M Sumita, R Tamura, DT Payne, MK Chahal, S Ishihara, ...
Chemical science 11 (23), 5959-5968, 2020
Method for estimating spin-spin interactions from magnetization curves
R Tamura, K Hukushima
Physical Review B 95 (6), 064407, 2017
De novo creation of a naked eye–detectable fluorescent molecule based on quantum chemical computation and machine learning
M Sumita, K Terayama, N Suzuki, S Ishihara, R Tamura, MK Chahal, ...
Science advances 8 (10), eabj3906, 2022
Efficient recommendation tool of materials by an executable file based on machine learning
K Terayama, K Tsuda, R Tamura
Japanese Journal of Applied Physics 58 (9), 098001, 2019
Bayesian optimization for computationally extensive probability distributions
R Tamura, K Hukushima
PloS one 13 (3), e0193785, 2018
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