Invited Talks¶

2025¶

Annual Meeting of MOANSI (GAMM)
Technical University of Munich, Germany
Host: Prof. Gero Friesecke
Title: Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems

Microsoft Quantum Research Seminar (Virtual)
Host: Prof. Matthias Troyer
Title: Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems

Prof. Fred Hambrecht's Research Seminar
University of Heidelberg, Germany
Title: Generalized Neural Wave Functions: Scalable & Accurate Solutions to the Electronic Schrödinger Equation

Prof. Tilman Plehn's Research Seminar
University of Heidelberg, Germany
Title: Learning Equivariant Non-Local Electron Density Functionals

2024¶

ByteDance AI Lab Seminar (Virtual)
Host: Weiluo Ren
Title: Ab-Initio Potential Energy Surfaces via Graph Neural Networks

Learning on Graphs and Geometry Reading Group (Virtual)
Host: Prof. Dominique Beaini
Title: Learning Equivariant Non-Local Electron Density Functionals

2023¶

Prof. Giuseppe Carleo's Research Seminar
EPFL, Lausanne, Switzerland
Title: Ab-Initio Potential Energy Surfaces via Graph Neural Networks

Symposium on Machine Learning Quantum Chemistry
Uppsala, Sweden
Host: Prof. Roland Lindh
Title: Ab-Initio Potential Energy Surfaces via Graph Neural Networks

Deep Learning meets Variational Monte Carlo
University of Vienna, Austria
Host: Prof. Philip Grohs
Title: Ab-Initio Potential Energy Surfaces via Graph Neural Networks

Machine Learning Approaches in Lattice Quantum Chromodynamics
Technical University of Munich, Germany
Host: Prof. Gunnar S. Bali
Title: Ab-initio Quantum Chemistry with Graph Neural Networks

2022¶

ByteDance AI Lab Seminar (Virtual)
Host: Weiluo Ren
Title: Solving Many Schrödinger Equations with Deep Neural Networks

Learning on Graphs and Geometry Reading Group (Virtual)
Host: Prof. Dominique Beaini
Title: Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions