Kohei Shinohara

Kohei Shinohara

Researcher at Preferred Networks, Inc.

Publications

arXiv/submitted

  1. C. Shinagawa, S. Takamoto, D. Shintani, Y.-B. Zhuang, Y. Tsuboi, K. Nishimra, K. Shinohara, S. Iwase, Y. Tanaka, and J. Li, “Matlantis-PFP v8: Universal Machine Learning Interatomic Potential with Better Experimental Agreements via r2SCAN Functional” [arXiv:2603.11063]
  2. T. Nomoto, K. Shinohara, H. Watanabe, and R. Arita, “Systematic Magnetic Structure Generation Based on Oriented Spin Space Groups: Formulation, Applications, and High-Throughput First-Principles Calculations” [arXiv:2601.15735]

Journal Publications

  1. T. Shibayama, H. Imamura, K. Nishimra, K. Shinohara, C. Shinagawa, S. Takamoto, and J. Li, Efficient crystal structure prediction using universal neural network potential with diversity preservation in genetic algorithms, Phys. Rev. Mater. 10, 063401 (2026) [arxiv:2503.21201]
  2. T. Ishii, K. Hisama, and K. Shinohara, Symmetry-aware conditional generation of crystal structures using diffusion models, Comput. Mater. Sci. 271, 114789 (2026) [arxiv:2601.08115]
  3. A. Togo, K. Shinohara, and I. Tanaka, Spglib: a software library for crystal symmetry search, STAM-M 4, 1, 2384822 (2024) [arxiv:1808.01590]
  4. J. Fu, M. Kuisma, A. H. Larsen, K. Shinohara, A. Togo, and K. S. Thygesen, Symmetry classification of 2D materials: layer groups versus space groups, 2D Mater. 11, 3, 035009 (2024) [arxiv:2401.16705]
  5. H. Watanabe, K. Shinohara, T. Nomoto, A. Togo, and R. Arita, Symmetry Analysis with Spin Crystallographic Groups: Disentangling Spin-Orbit-Free Effects in Emergent Electromagnetism, Phys. Rev. B 109, 094438 (2024) [arxiv:2307.11560]
  6. K. Shinohara, A. Togo, H. Watanabe, T. Nomoto, I. Tanaka, and R. Arita, Algorithm for spin symmetry operation search, Acta Cryst. A 80, 1, 94-103 (2024) [arxiv:2307.12228]
  7. K. Shinohara, A. Togo, and I. Tanaka, Algorithms for magnetic symmetry operation search and identification of magnetic space group from magnetic crystal structure, Acta Cryst. A 79, 390-398 (2023) [arxiv:2211.15008]
  8. K. Shinohara, A. Togo, and I. Tanaka, spgrep: On-the-fly generator of space-group irreducible representations, J. Open Source Softw., 8(85), 5269 (2023)
  9. K. Shinohara, A. Seko, T. Horiyama, and I. Tanaka, Finding well-optimized special quasirandom structures with decision diagram, Phys. Rev. Mater. 5, 113803 (2021) [arxiv:2107.07683]
  10. K. Shinohara, A. Seko, T. Horiyama, M. Ishihata, J. Honda and I. Tanaka, Enumeration of nonequivalent substitutional structures using advanced data structure of binary decision diagram, J. Chem. Phys. 153, 104109 (2020) [arxiv:2002.12603]

Contributed Articles (in Japanese)

  1. 汎用原子レベルシミュレータを用いた物性予測と材料探索,セラミックス 第60巻 7月号（2025）[オープンアクセス]

Conference (not refereed)

  1. K. Shinohara, H. Imamura, K. Nishimra, S. Watanabe, K. Hisama, C. Shinagawa, S. Takamoto, and J. Li, Enhancing Crystal Structure Prediction with r2SCAN-Level Universal Neural Network Potentials, 2025 MRS Fall Meeting, December, 2025 [Web]
  2. K. Shinohara, T. Shibayama, H. Imamura, K. Nishimra, C. Shinagawa. S. Takamoto, and J. Li, Finite-Temperature Crystal Structure Prediction with Universal Neural Network Potential and Free Energy Calculation, 2024 MRS Fall Meeting, December, 2024 [Web]
  3. K. Shinohara, A. Seko, T. Horiyama, M. Ishihata, J. Honda and I. Tanaka, Accelerated enumeration of derivative structures using zero-suppressed binary decision diagram, APS March Meeting 2020, March, 2020 [Web]

Domestic Conference (not refereed, in Japanese)

  1. (招待講演)○篠原航平，多様性を維持した遺伝的アルゴリズムとmeta GGAレベル汎用ニューラルネットワークポテンシャルによる結晶構造予測の向上，第35回日本MRS年次大会，11月，2025年 [Web]
  2. ○篠原航平, 未知構造探索を目的とした結晶構造列挙手法の開発, 新学術領域研究 機能コアの材料科学 「第一回若手の会」, 9月, 2019年 [Web]
  3. ○篠原航平, 世古敦人, 田中功, Graphillionを利用した結晶構造列挙, 基盤(S) 離散構造処理系プロジェクト 「2019年度 初夏のワークショップ」, 6月, 2019年 [Web]
  4. ○篠原 航平, 世古 敦人, 林 博之, 田中 功, 鹿島 久嗣, 化学組成の事前知識を用いた推薦システムによる新規化合物の予測, 日本金属学会 2018 年春期講演大会, 3 月, 2018 年 [Web]