Below are links to code bases used in my research.
C Stochastics Series Expansion Runner (CSSER)
This is C/C++ based API that can be used to model lattice based Hamiltonians. The algorithm follows Anders Sandvik's Stochastic Series Expansion (SSE) algorithm together with additional tweaks. The code is quite efficient enabling simulation of some of the largest system sizes possible involving > 200,000 particles at ultra low entropies. The code can be easily modified to handle a wide range of Hamiltonians.
Access: github (https://github.com/ushnishray/csser.public)
Cloning Algorithm for Non-equilibrium Stationary States (CANSS)
This code allows simulation of non-equilibrium stationary states based on the cloning algorithm together with tweaks that enable large scale parallel computations. It connects with LAMMPS to allow MD-based simulations. We are able to capture rare fluctuations of large realistic systems involving more than 10000 atoms.
Access: github (https://github.com/ushnishray/CANSS)
Python based DMET toolkit (the R stands for \rho = density matrix) to study strongly correlated systems including superconductivity. It uses plugins to DMRG based solvers such as BLOCK and iTENSOR to tackle the impurity problem and can be readily extended to other solvers. This code is still under development and not yet been released.