Overview

Teaching: min
Exercises: min

Questions

Objectives

1. Day info

• August 15, 2024, Monday
• Where: Clemens Hall 120

2. Presentations

2.1. 9:00 am - 9:40 am Pavlo Dral (remote): Machine learning for nonadiabatic and quantum dynamics

Abstract Presentation

2.2. 9:40 am - 10:20 am Linjun Wang (remote): Large-Scale Nonadiabatic Dynamics with Machine Learning Hamiltonians

Abstract Presentation

2.3. 10:20 am - 11:00 am Xiang Sun (remote): Photoinduced Charge Transfer Dynamics in Complex Condensed Phase

Abstract Presentation

2.4. 11:00 am - 11:40 am Alexei Kananenka: Machine-learning for quantum dissipative dynamics

Abstract Presentation

2.5. 1:30 pm - 2:10 pm Alexey Akimov: Time-Domain Machine Learning approach for Extending the Timescales in Nonadiabatic Dynamics Simulations

Abstract Presentation

2.6. 2:10 pm - 2:50 pm Oleg Prezhdo: Nonadiabatic Molecular Dynamics with Machine Learning

Abstract Presentation

2.7. 2:50 pm - 3:30 pm Dmitri Kilin:

Abstract Presentation

2.8. 3:30 pm - 4:10 pm Johannes Hachmann (remote): From Electronic Structure Calculations to Machine Learning Models and Back

Abstract Presentation

3. Videorecordings

3.1. UB Recording:

3.2. Zoom recordings:

Key Points