Publications & Talks

Publications & Preprints

[1] Systematic correction of core-loss spectra via machine learning: bridging the gap between simulated and experimental spectra

Yinan Wang, Yu Fujikata, Louis Wong, Yasuji Muramatsu, Teruyasu Mizoguchi*

Ultramicroscopy, 283 (2026) 114336-1-12.

[2] Decoding Dopant-Induced Electronic Modulation in Graphene via Region-Resolved Machine Learning of XANES

Yinan Wang, Varadwaj Arpita*, Teruyasu Mizoguchi, Masato Kotsugi

Digital Discovery, in press · Selected for the Inside Front Cover

[3] Ultrafast Sliding Ferroelectric Switching in Bilayer Hexagonal Boron Nitride Revealed by Deep Learning Molecular Dynamics

Yinan Wang, Poyen Chen, Teruyasu Mizoguchi*

arXiv [cond-mat.mtrl-sci]

[4] All-Electron Single-Atom Reference Correction for Absolute Transition Energies in Fixed-Reference PAW-XCH Calculations

Yinan Wang, Teruyasu Mizoguchi*

arXiv [cond-mat.mtrl-sci]

International Conferences

[1] (予定) Electric-Field-Coupled Machine-Learning Molecular Dynamics of Polarization Switching and Domain-Wall Motion in Bilayer Hexagonal Boron Nitride

AMF-AMEC 2027, March 2–5, 2027 (Sheraton Jeju Hotel, Jeju, Korea)

〇Yinan Wang, Poyen Chen, Teruyasu Mizoguchi

[2] (予定) Atom-Resolved Electromechanics of Single-Domain and Domain-Wall Switching in Bilayer Hexagonal Boron Nitride via Deep Learning Potentials

2026 MRS Fall Meeting & Exhibit, 2026.12 (Boston, America)

〇Yinan Wang, Poyen Chen, Teruyasu Mizoguchi

Oral

[3] Deep Learning Potential Study of Atomistic Electromechanics in Single-Domain and Domain-Wall Switching of Bilayer Hexagonal Boron Nitride

ACSIN-16 & ICSPM34, 2026.10 (Arcrea HIMEJI, Japan)

〇Yinan Wang, Poyen Chen, Teruyasu Mizoguchi

Poster

Conferences in Japan

[1] 内殻電子エネルギーに基づくVASP XASスペクトルの絶対エネルギー補正

The 62nd Symposium on X-Ray Analysis, 2026.10 (Kunibiki Messe, Shimane Prefectural Convention Center)

〇Yinan Wang, Teruyasu Mizoguchi

Poster

[2] 深層学習ポテンシャルで解明した六方晶窒化ホウ素の原子レベル反転メカニズム

Atom-Resolved Electromechanics of Single-Domain and Domain-Wall Switching in Bilayer Hexagonal Boron Nitride via Deep Learning Potentials

The 87th JSAP Autumn Meeting, 2026.09 (Sapporo Campus, Hokkaido University)

〇Yinan Wang, Poyen Chen, Teruyasu Mizoguchi

Oral

[3] 機械学習を活用した ELNES の計算-実験間ギャップの系統的補正

Bridging the Gap between Simulated and Experimental ELNES via Machine Learning

The 82nd Annual Meeting of The Japanese Society of Microscopy, 2026.05 (Sendai International Center)

〇Yinan Wang, Yu Fujikata, Louis Wong, Yasuji Muramatsu, Teruyasu Mizoguchi

Oral

[4] 機械学習を活用したXANESの理論計算と実験間の系統的な補正

Bridging the Gap between Simulated and Experimental XANES Spectra via Machine Learning

The 73rd JSAP Spring Meeting, 2026.03 (Ookayama Campus, Institute of Science Tokyo)

〇Yinan Wang, Yu Fujikata, Louis Wong, Yasuji Muramatsu, Teruyasu Mizoguchi

Oral

[5] 機械学習を活用した実験と計算間の系統的な補正

28th XAFS annual meeting, 2025.09 (Tsukuba Campus, High Energy Accelerator Research Organization)

〇Yinan Wang, Yu Fujikata, Yasuji Muramatsu, Teruyasu Mizoguchi

Oral

[6] 機械学習を用いた不純物グラフェンの局所構造とXANESスペクトルの関係接続

Correlation Between Local Structures of Doped Graphene and XANES Spectra Via Machine Learning

The 72nd JSAP Spring Meeting, 2025.03 (Noda Campus, Tokyo University of Science)

〇Yinan Wang, Varadwaj Arpita, Alexandre Lira Foggiatto, Masato Kotsugi

Oral

[7] 地域医療への貢献に向けたDNAナノ材料の構造設計

Hakodate Academic Link 2021, 2021.11 (Online)

〇Yinan Wang, Kaido Marushima, Yoshitsugu Akiyama

Poster