Calculating Force in FermiNet
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Updated
Apr 11, 2024 - Python
Calculating Force in FermiNet
This repository contains Python implementation Path integral Quantum Monte-Carlo to find the ground state energy of the harmonic oscillator.
Project 2 for the course FYS4411 Computational Physics II. Path Integral Monte Carlo on boson systems and the Heisenberg model.
Python realisation of Casino (QMC) program
Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).
Python wrappers for TurboRVB
Efficient continuous-time quantum Monte Carlo method for spinless fermions
DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…
Deep learning quantum Monte Carlo for electrons in real space
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