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2. Applying machine learning methods to prediction problems of lattice observables

3. Interacting Electrons in Graphene

4. Sampling using SU(N) gauge equivariant flows

5. Finding the deconfinement temperature in lattice Yang-Mills theories from outside the scaling window with machine learning

6. Equivariant Flow-Based Sampling for Lattice Gauge Theory

9. Lee-Yang zeros in lattice QCD for searching phase transition points

10. Lattice QCD for Baryon Rich Matter – Beyond Taylor Expansions

11. Novel approach to deriving the canonical generating functional in lattice QCD at a finite chemical potential

12. Lattice quantum Monte Carlo study of chiral magnetic effect in Dirac semimetals

13. Lattice Study of QCD Phase Structure by Canonical Approach

14. Simulation of the charge migration in DNA under irradiation with heavy ions

16. Numerical simulations of graphene conductivity with realistic inter-electron potential

17. Interacting Electrons in Graphene: Fermi Velocity Renormalization and Optical Response

18. New approach to canonical partition functions computation in Nf=2 lattice QCD at finite baryon density

19. Sign problem in finite density lattice QCD

20. Dyons and Roberge - Weiss transition in lattice QCD

21. Study of lattice QCD at finite chemical potential using the canonical ensemble approach

22. Study of lattice QCD at finite baryon density using the canonical approach

23. Many-body effects on graphene conductivity: Quantum Monte Carlo calculations

24. Restoring canonical partition functions from imaginary chemical potential

25. Lattice QCD at finite baryon density using analytic continuation

28. Study of DNA conducting properties: reversible and irreversible evolution

29. Numerical simulation of graphene in external magnetic field

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