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The Journal of Chemical Physics|September 23, 2019
Dependence of a cooling rate on structural and vibrational properties of amorphous silicon: A neural network potential-based molecular dynamics studyWenwen Li, Yasunobu Ando
Physical Chemistry Chemical Physics : PCCP|November 28, 2018
Comparison of different machine learning models for the prediction of forces in copper and silicon dioxideWenwen Li, Yasunobu Ando
The Journal of Chemical Physics|November 3, 2020
Effects of density and composition on the properties of amorphous alumina: A high-dimensional neural network potential studyWenwen Li, Yasunobu Ando, Satoshi Watanabe
Small Methods|March 26, 2024
Machine Learning-Assisted Survey on Charge Storage of MXenes in Aqueous ElectrolytesKosuke Kawai, Yasunobu Ando, Masashi Okubo
Physical Chemistry Chemical Physics : PCCP|July 2, 2015
The electronic structure of quasi-free-standing germanene on monolayer MX (M = Ga, In; X = S, Se, Te)Zeyuan Ni, Emi Minamitani, Yasunobu Ando, et al.
The Journal of Chemical Physics|December 10, 2017
Study of Li atom diffusion in amorphous Li3PO4 with neural network potentialWenwen Li, Yasunobu Ando, Emi Minamitani, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|May 5, 2025
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine LearningQianli Si, Shoichi Matsuda, Yasunobu Ando, et al.
Science and Technology of Advanced Materials|July 6, 2019
Spectrum adapted the expectation-maximization algorithm for high-throughput peak shift analysisTarojiro Matsumura, Naoka Nagamura, Shotaro Akaho, et al.
Journal of the American Chemical Society|May 29, 2026
Realization of Self-Terminating Underpotential Electropolymerization by Strong Supramolecular Monomer-Electrode InteractionYudai Yokoyama, Yuzu Kobayashi, Yasuyuki Yokota, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 7, 2026
Probing anharmonic and heterogeneous carrier dynamics across sublattice melting in a minimal model superionic conductorSucharita Niyogi, Takenobu Nakamura, Genki Kobayashi, et al.
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