Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Boosting particle physics simulations with neural networks

2021/43/D/ST2/03375

Keywords:

machine learning Markov Chain Monte Carlo simulations lattice field theories

Descriptors:

  • ST2_1: Fundamental interactions and fields
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST3_15: Statistical physics of condensed matter, phase transitions, noise and fluctuations, etc.

Panel:

ST2 - Fundamental constituents of matter: particle, nuclear, plasma, atomic, molecular, gas and optical physics

Host institution :

Uniwersytet Jagielloński, Wydział Fizyki, Astronomii i Informatyki Stosowanej

woj.

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Tomasz Stebel 

Number of co-investigators in the project: 2

Call: SONATA 17 - announced on 2021-09-15

Amount awarded: 718 708 PLN

Project start date (Y-m-d): 2022-11-21

Project end date (Y-m-d): 2025-11-20

Project duration:: 36 months (the same as in the proposal)

Project status: Pending project

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (4)
  1. Analysis of autocorrelation times in neural Markov chain Monte Carlo simulations
    Authors:
    Piotr Białas, Piotr Korcyl, Tomasz Stebel
    Academic press:
    PHYSICAL REVIEW E (rok: 2023, tom: 107, strony: 15303), Wydawca: American Physical Society
    Status:
    Published
    DOI:
    10.1103/PhysRevE.107.015303 - link to the publication
  2. Training normalizing flows with computationally intensive target probability distributions
    Authors:
    Piotr Białas, Piotr Korcyl, Tomasz Stebel
    Academic press:
    Computer Physics Communications (rok: 2024, tom: 298, strony: 109094), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cpc.2024.109094 - link to the publication
  3. Mutual information of spin systems from autoregressive neural networks
    Authors:
    Piotr Białas, Piotr Korcyl, Tomasz Stebel
    Academic press:
    PHYSICAL REVIEW E (rok: 2023, tom: 108, strony: 44140), Wydawca: American Physical Society
    Status:
    Published
    DOI:
    10.1103/PhysRevE.108.044140 - link to the publication
  4. Simulating first-order phase transition with hierarchical autoregressive networks
    Authors:
    Piotr Białas, Paulina Czarnota, Piotr Korcyl, Tomasz Stebel
    Academic press:
    PHYSICAL REVIEW E (rok: 2023, tom: 107, strony: 54127), Wydawca: American Physical Society
    Status:
    Published
    DOI:
    10.1103/PhysRevE.107.054127 - link to the publication

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