Ryohto Sawada

NEC (Japan) — Japan

Materials Science · Physical Sciences

4h-index278citations19works0.02yr avg
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Research Topics

Machine Learning in Materials Science(8), Manufacturing Process and Optimization(3), Topic Modeling(2), Magnetic properties of thin films(2), Natural Language Processing Techniques(2)

Publications19 total

Machine learning autonomous identification of magnetic alloys beyond the Slater-Pauling limit
Communications Materials·2021· 53 citedOpen Access
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
arXiv (Cornell University)·2020· 4 citedOpen Access
Identification of stable alloy with giant magnetization via machine learning based autonomous materials search
Research Square (Research Square)·2020Open Access
Autonomous/automated materials search system
The Japan Society of Applied Physics·2020
Anomalous Nernst Effect in Iron- based sintered alloys
The Japan Society of Applied Physics·2020
Mutual learning between human and AI in Shogi and its quantification
The Japan Neuroscience Society·2020
Model-Free Cluster Analysis of Physical Property Data using Information Maximizing Self-Argument Training
Scientific Reports·2020· 1 citedOpen Access
Identification of advanced spin-driven thermoelectric materials via interpretable machine learning
npj Computational Materials·2019· 80 citedOpen Access
Extractive Summarization via Weighted Dissimilarity and Importance\n Aligned Key Iterative Algorithm
arXiv (Cornell University)·2019Open Access
Extractive Summarization via Weighted Dissimilarity and Importance Aligned Key Iterative Algorithm
arXiv (Cornell University)·2019Open Access
Model-Free Cluster Analysis of Physical Property Data using Information Maximizing Self-Argument Training
arXiv (Cornell University)·2019Open Access
Machine-learning guided discovery of a new thermoelectric material
Scientific Reports·2019· 125 citedOpen Access
AI strategy for material development and application to spintronics
2019
Machine-learning guided discovery of a high-performance spin-driven thermoelectric material
arXiv (Cornell University)·2018· 2 citedOpen Access
Annealing-temperature-dependent voltage-sign reversal in all-oxide spin Seebeck devices using RuO<sub>2</sub>
Journal of Physics D Applied Physics·2018· 13 citedOpen Access
Development of combinatorial research platform for magneto-thermoelectric materials
The Japan Society of Applied Physics·2018
Boosting Material Modeling using Game Tree Search Composition Optimization
The Japan Society of Applied Physics·2017
Challenges of combinatorial approach for developing magneto-thermoelectric materials
The Japan Society of Applied Physics·2017
[Young Scientist Oral Presentation Award Speech]（15min.） ボーム経路解析による高強度場現象の計算シミュレーション
The Japan Society of Applied Physics·2014

Frequent Co-authors

Yuma Iwasaki(14), Masahiko Ishida(14), Eiji Saitoh(8), Akihiro Kirihara(7), Hiroko Someya(6), Shinichi Yorozu(6), Ichiro Takeuchi(3), Valentin Stanev(3), Kazuki Ihara(3), Koichi Terashima(3), Ken‐ichi Uchida(3), A. Gilad Kusne(2), Yasutomo Omori(2), Ryota Yuge(1), Ryo Iguchi(1), Katsuhiko Ishiguro(1), Kazuya Ujihara(1), Hirotaka Akita(1), Masaaki Kotera(1), Sadanori Kuroshima(1)