Bayesian optimization package: PHYSBO
2022 · Computer Physics Communications · 82 citations
https://doi.org/10.1016/j.cpc.2022.108405
R
Ryo Tamura
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
248
Papers
3.1K
Citations
28
h-index
71
i10-index
Ryo Tamura is an academic researcher from Shizuoka University. The author has contributed to research in topics: Machine Learning in Materials Science & Graphene research and applications & Carbon Nanotubes in Composites. The author has an h-index of 28, co-authored 211 publications.
ORCID: 0000-0002-0349-358XPapers by this author
worksMachine learning-driven optimization in powder manufacturing of Ni-Co based superalloy
2020 · Materials & Design · 71 citations
https://doi.org/10.1016/j.matdes.2020.109290
Data-driven nanomechanical sensing: specific information extraction from a complex system
2017 · Scientific Reports · 51 citations
https://doi.org/10.1038/s41598-017-03875-7
A framework to predict binary liquidus by combining machine learning and CALPHAD assessments
2023 · Materials & Design · 16 citations
https://doi.org/10.1016/j.matdes.2023.112111
Machine-Learning-Based phase diagram construction for high-throughput batch experiments
2022 · Science and Technology of Advanced Materials Methods · 13 citations
https://doi.org/10.1080/27660400.2022.2076548
Revealing factors influencing polymer degradation with rank-based machine learning
2023 · Patterns · 11 citations
https://doi.org/10.1016/j.patter.2023.100846
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat