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jQMC code implements two real-space ab initio quantum Monte Carlo (QMC) methods. Variatioinal Monte Carlo (VMC) and lattice regularized diffusion Monte Carlo (LRDMC) methods. jQMC achieves high-performance computations especially on GPUs.
This is the GitHub repo to support the manuscript "Machine Learning Approaches for Developing Potential Surfaces: Applications to OH−(H2O)n (n = 1 − 3) Complexes"
The aim of this project is to compute the Helium nucleus ground state under an harmonic oscilator potential, using variational Montecarlo model and diffusion Montecarlo model.