Selected Conference Talks

Aug. 2022, American Chemical Society National Meeting

• Symposium: Quantum Chemistry: Current & Future Frontiers

• Title: Accelerate combined wave function and density functional theory approaches for electronic excited states by machine learning (Invited)

Jul. 2022, 12th Triennial Congress of the World Association of Theoretical and Computational Chemists

• Title: Machine learning dielectric screening to accelerate the simulation of electronic excited states of molecules and materials (Invited Communication)

May 2022, 3rd Frontiers in Photochemistry Conference

• Title: Lessons from Simulating Biological Chromophores (Invited)

Aug. 2021, American Chemical Society National Meeting

• Symposium: Frontier of Theory and Computation for Materials and Processes in Energy Applications

• Title: Machine learning acceleration of the excited state simulations of materials (Invited)

Mar. 2021, American Physical Society March Meeting 2021

• Title: Machine learning dielectric screening for the simulation of excited state properties of molecules and materials

• Authors: Sijia S. Dong, Marco Govoni, Giulia Galli

• The talk was given live on March 15, 2021 in Session C21: Machine Learning for Quantum Matter III