VeloxChem on LUMI workshop
This workshop introduces participants to quantum chemistry simulations using VeloxChem on the LUMI supercomputer, with a focus on utilizing the GPU resources on LUMI-G for high-performance electronic structure calculations.
Target audience:
Researchers and students in computational chemistry and molecular simulations, particularly those interested in utilizing LUMI’s GPU resources for electronic structure and molecular dynamics simulations.
Prerequisites:
Basic knowledge of quantum chemistry and molecular simulations. Some experience with Python is beneficial but not required, as most exercises will be conducted through Jupyter Notebooks.
Learning goals:
Participants will learn how to:
- Use Jupyter Notebooks for setting up and running quantum chemical calculations with VeloxChem
- Submit and manage large-scale calculations on LUMI’s GPU nodes using Slurm
- Visualize and analyze results using VIAMD
Workshop Agenda
Monday, May 26 (Afternoon)
- General Presentation of VeloxChem (Patrick Norman)
- Philosophy and key concepts
- Jupyter Notebook Session
- VeloxChem for QM (Patrick Norman)
- Building a molecule object
- Optimizing a molecular structure
- Calculating IR and UV/ECD spectra
- VeloxChem for MD (Mathieu Linares)
- Generating a force field with VeloxChem
- Fitting a dihedral angle
- Running an MD simulation
- Identifying unique conformers
- Computing a Boltzmann-averaged spectrum
Tuesday, May 27 (Morning)
- Running VeloxChem via Input Files & Visualization with VIAMD
- Hands-on practice with input files
- Visualization using VIAMD
- Running VeloxChem on LUMI & submitting jobs via SLURM
Lecturers: Dr. Mathieu Linares and Prof. Patrick Norman (KTH, Stockholm)
Resources:
VeloxChem.org, https://veloxchem.org
VeloxChem GitHub, https://github.com/VeloxChem/VeloxChem
VIAMD GitHub, https://github.com/scanberg/viamd
eChem, https://kthpanor.github.io/echem/docs/intro.html