Network analysis

Last updated on Oct 1, 2026

Using network-based measures and topological data analysis, I characterised phase transitions in the Ising model, revealing distinct network-science Ising states of matter. I also developed non-parametric learning approaches for critical behavior in Ising partition functions using PCA entropy and intrinsic dimension.

  • Network science: Ising states of matter, Physical Review E, 2024 — H. Sun, R. K. Panda, R. Verdel, A. Rodriguez, M. Dalmonte, G. Bianconi
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  • Non-parametric learning critical behavior in Ising partition functions: PCA entropy and intrinsic dimension, SciPost Physics Core, 2023 — R. K. Panda, R. Verdel, A. Rodriguez, H. Sun, G. Bianconi, M. Dalmonte
    paperpreprint
Hanlin Sun
Hanlin Sun
Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellow