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Discovering quasiorder parameters in the Potts model: A bridge between machine learning and critical phenomena

Yi-Lun Du1,*, Nan Su2,†, and Konrad Tywoniuk3,‡

  • *Contact author: yilun.du@iat.cn
  • †Contact author: nansu@fias.uni-frankfurt.de
  • ‡Contact author: konrad.tywoniuk@uib.no

Reinforcement Learning Techniques for the Flavor Problem in Particle Physics

Alessio Giarnetti and Davide Meloni

Symmetry 18 131 (2026)

Interpreting transformer representations under positional inductive bias in learning-by-confusion for the two-dimensional Ising model

Moon-Hyun Cha and Jeongwoon Hwang

Computational Materials Science 274 115035 (2026)

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