This lesson is still being designed and assembled (Pre-Alpha version)

Excited States and Nonadiabatic Dynamics: Glossary

Key Points

1. Introduction to our CyberTraining. Setups and key links.
  • Class locations change from day to day

  • Open On Demand system is very convenient way for file transfer and running jobs - either in terminal or via GUI

  • Get your projects going ASAP, win prizes

  • Fill in the required forms before the workshop ends

  • If sending forms, do not send the forms via UB mail, use Slack

2. ChemML: Capabilities Tour and End-to-End Workflow
  • ChemML capabilities can be taught as a connected stack: data -> representation -> modeling -> optimization -> explainability

  • A two-demo format separates breadth (capabilities) from depth (full workflow)

  • Precomputed artifacts support comparison when AutoML runtime is limited

3. Excited-State Electronic Structure: PySCF and Prism
  • Run the PySCF/Prism examples from a terminal where the correct environment is activated.

  • Most examples are available directly on CCR in the shared examples directory.

  • PySCF can also be installed locally with pip or conda, while Prism is installed by cloning the repository and adding it to PYTHONPATH.

  • The tutorials form a method ladder from CIS/TDA and TD-DFT to ADC, EOM-CCSD, CASSCF, NEVPT2, spin-orbit NEVPT2, and MR-ADC.

4. Nonadiabatic Dynamics and Trajectory Surface Hopping with Libra
  • TBD

5. Ab Initio Multiple Spawning: Electronic Structure and Nonadiabatic Dynamics
  • Conical intersections are the funnels of nonadiabatic dynamics; describing them needs multireference methods.

  • AIMS represents the nuclear wavepacket with traveling Gaussians that spawn near strong coupling.

  • OpenMolcas supplies the on-the-fly electronic structure; PySpawn drives the spawning dynamics.

6. Quantum Dynamics in Open Systems with TENSO
7. Course Projects

Glossary

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