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ACS Nano|June 18, 2025
Machine Learning Force Fields in Electrochemistry: From Fundamentals to ApplicationsRyosuke Jinnouchi, Saori MinamiThe Journal of Physical Chemistry Letters|December 24, 2024
The Melamine-Driven Solvation Effect Promotes Oxygen Reduction on a Platinum Catalyst: Machine Learning-Aided Free Energy CalculationsRyosuke Jinnouchi, Saori MinamiThe Journal of Physical Chemistry Letters|April 5, 2023
Proton Transport in Perfluorinated Ionomer Simulated by Machine-Learned Interatomic PotentialRyosuke Jinnouchi, Saori Minami, Ferenc Karsai, et al.ACS Applied Materials & Interfaces|January 28, 2026
Structural Factors of Platinum-Supported Carbon Influencing Ionomer Adsorption in Fuel Cell Catalyst InksShuhei Yoshino, Masashi Harada, Naoki Hasegawa, et al.Nature Communications|August 17, 2021
The role of oxygen-permeable ionomer for polymer electrolyte fuel cellsRyosuke Jinnouchi, Kenji Kudo, Kensaku Kodama, et al.Physical Chemistry Chemical Physics : PCCP|June 17, 2022
Molecular dynamics simulations of proton conducting media containing phosphoric acidRyosuke JinnouchiThe Journal of Chemical Physics|November 19, 2024
Machine-learning surrogate models for particle insertions and element substitutionsRyosuke JinnouchiRSC Advances|June 27, 2022
Mechanisms of temperature-dependent oxygen absorption/release and appearance of intermediate phase in κ-Ce<sub>2</sub>Zr<sub>2</sub>O<sub>8</sub>: study based on oxygen vacancy formation energy computationsHirotoshi Hirai, Ryosuke JinnouchiThe Journal of Physical Chemistry Letters|August 25, 2017
Predicting Catalytic Activity of Nanoparticles by a DFT-Aided Machine-Learning AlgorithmRyosuke Jinnouchi, Ryoji AsahiRSC Advances|September 12, 2022
Discovering surface reaction pathways using accelerated molecular dynamics and network analysis toolsHirotoshi Hirai, Ryosuke JinnouchiPageof 5