Yosuke Harashima

Materials Science & Engineering — Australia

Materials Science · Physical Sciences

11h-index544citations71works1.02yr avg
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Research Topics

Magnetic Properties of Alloys(19), Semiconductor materials and devices(14), Magnetic properties of thin films(13), Machine Learning in Materials Science(11), Semiconductor materials and interfaces(9)

Publications71 total

Materials Dual-Source Knowledge Retrieval-Augmented Generation for Local Large Language Models in Photocatalysts
Journal of Chemical Information and Modeling·2025Open Access
Industry on One-table: Consistent, Scalable, and Reproducible Copolymerization Process with a Digitally Controlled System Governed by Reaction Kinetics.
2025Open Access
Industry on One-table: Consistent, Scalable, and Reproducible Copolymerization Process with a Digitally controlled System Governed by Reaction Kinetics.
2025Open Access
Covariance linkage assimilation method for unobserved data exploration
Physical Review Materials·2025
Experimental and Theoretical Factors in CO<sub>2</sub> Reduction on Pd‐Based Electrocatalysts and their Applicability for Integration with Data Science and High‐Throughput Experiments
ChemElectroChem·2025Open Access
Materials Dual-Source Knowledge Retrieval-Augmented Generation for Local Large Language Models in Photocatalysts
2025Open Access
Multi-objective Bayesian Optimization for Experimental Design in Copolymerization and Revealing Chemical Mechanism of Pareto Fronts
ACS Applied Engineering Materials·2025· 3 cited
Machine-Learning-Driven Photocurrent Prediction in Multielement-Doped Hematite Photoelectrodes
ACS Catalysis·2025· 6 citedOpen Access
Author response for "Utilization of Neural Network Potential for Finding Perovskite-Type Metal Oxide Photocathodes Capable of Producing Hydrogen"
2025
Author response for "Utilization of Neural Network Potential for Finding Perovskite-Type Metal Oxide Photocathodes Capable of Producing Hydrogen"
2025
Multi-objective Bayesian optimization for experimental design in copolymerization and revealing chemical mechanism of Pareto fronts
2025· 1 citedOpen Access
Data-Driven Approach Considering Imbalance in Data Sets and Experimental Conditions for Exploration of Photocatalysts
ACS Omega·2025· 3 citedOpen Access
Divalent Cation Doping into SrTiO<sub>3</sub> for Enhancing the Photocatalytic Performance of Water Splitting
The Journal of Physical Chemistry Letters·2025
Vacancy-Type Defects in HfO<sub>2</sub> Layers and Their Role in Amorphous-to-Crystalline Transition Studied by Monoenergetic Positron Beams
IEEE Transactions on Semiconductor Manufacturing·2025
Multi-objective Bayesian optimization for experimental design in copolymerization and revealing chemical mechanism of Pareto fronts
2025Open Access
Multi-objective Bayesian optimization for experimental design in co- polymerization and revealing chemical mechanism of Pareto fronts
2025Open Access
Utilization of neural network potential for determining perovskite-type metal oxide photocathodes capable of producing hydrogen
Materials Advances·2025Open Access
Vacancy-Type Defects in Thin HfO<sub>2</sub> Layers Probed by Monoenergetic Positron Beams
2024· 1 cited
Bayesian optimization of radical polymerization reactions in a flow synthesis system
Science and Technology of Advanced Materials Methods·2024· 4 citedOpen Access
Covariance Linkage Assimilation method for Unobserved Data Exploration
arXiv (Cornell University)·2024· 1 citedOpen Access
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Frequent Co-authors

Takashi Miyake(20), Mikiya Fujii(15), Shogo Takasuka(14), Tomoaki Takayama(14), Shoji Ishibashi(10), Taro Fukazawa(9), Tetsunori Sugawara(9), Miho Hatanaka(9), Tomoyuki Miyao(9), Takamitsu Matsubara(9), Yu‐ya Ohnishi(9), Hiroharu Ajiro(9), Yasuteru Shigeta(9), H. Akai(8), Araki Wakiuchi(8), Tsuyoshi Ando(8), Hiori Kino(7), Shunto Oikawa(7), Akira Uedono(7), Ryu Hasunuma(7)