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semiclassical-dynamics

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A serial, parallel and vectorised version of PLDM dynamics has been implemented. The serial version uses numba to get speedup of a compiled language. The parallel version uses mpi4py to utilise the multiprocessing capability of HPC clusters. The vectorised version uses a wide variety of GPU libraries (cuda, cupy, pytorch) to highly vectorise PLDM.

  • Updated Sep 30, 2024
  • Python

This repository contains improved versions of codes developed as part of a postdoctoral research project focused on spin excitations in disordered spin systems and magnetic properties of QCs. The current implementation performs MC simulations with parallel tempering and SMD for J1–J2 Heisenberg and Ising models on 2-dimensional lattice system.

  • Updated Mar 19, 2026
  • C++

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