Solving two-dimensional spin models with tensor networks (powered by PyTorch)
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Updated
May 6, 2026 - Python
Solving two-dimensional spin models with tensor networks (powered by PyTorch)
Gaussian processes and Bayesian optimization for images and hyperspectral data
A demo to simulate 2D spin lattices with different shapes, boundary conditions, models and algorithms
In silico study of voting bloc emergence through allelomimetic behavior.
Qualitative and statistically grounded comparison of growth sampling and Metropolis Monte Carlo methods for three-dimensional self-avoiding polymer chains on a cubic lattice.
Splitting methods for semi-classical Hamiltonian dynamics of charge transfer in nonlinear lattices
VibeSpin is a Python framework for simulating and analyzing 2D lattice spin systems (Ising, XY, and q-state Clock models) with Numba-accelerated Monte Carlo dynamics, correlation/structure diagnostics, and reproducible benchmarking workflows.
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