Solving two-dimensional spin models with tensor networks (powered by PyTorch)
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Updated
Feb 1, 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
Qualitative and statistically grounded comparison of growth sampling and Metropolis Monte Carlo methods for three-dimensional self-avoiding polymer chains on a cubic lattice.
In silico study of voting bloc emergence through allelomimetic behavior.
Splitting methods for semi-classical Hamiltonian dynamics of charge transfer in nonlinear lattices
VibeSpin is a high-performance 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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