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Learn to perform Quantum Monte Carlo calculations for molecular systems through hands-on tutorials using QMCPACK, PySCF, and Nexus in this 50-minute instructional session. Master the complete QMC workflow starting with beryllium dimer calculations, including running PySCF for initial electronic structure calculations and using Nexus to automate the computational pipeline. Explore density functional theory results and understand how to construct QMC wave functions with proper orbital calculations and Jastrow function optimization. Dive into Diffusion Monte Carlo techniques while examining critical aspects like timestep dependence, error bar reduction, and population bias effects. Apply these concepts to oxygen dimer calculations and extend the methodology to water molecule systems. Gain practical experience with workflow automation and learn essential considerations for accurate molecular QMC simulations. Access comprehensive presentation materials and example files through the provided GitHub repository to reinforce the tutorial concepts and practice the computational techniques independently.
Syllabus
00:00 Introduction
00:34 Tutorial goals
01:43 Beryllium dimer test case
03:02 Running PySCF
03:42 Using Nexus to drive PySCF
05:35 DFT results
06:39 QMC wave function
08:30 QMC workflow overview
09:02 Calculating the orbitals
11:53 Adding the Jastrow function
16:16 Optimization results
20:15 Diffusion Monte Carlo
21:39 Timestep dependence
24:46 Reducing error bars
27:06 Population bias
29:26 Oxygen dimer
32:18 Oxygen dimer workflow
34:57 Additional considerations and water molecule
40:30 Summary
Taught by
QMCPACK