International Symposium on Machine Learning in Quantum Chemistry (SMLQC 2023)
- Date: –
- Location: Biomedicinskt centrum, BMC B8, The Svedberg lecture hall, Husargatan 3, Uppsala
- Lecturer: Markus Reiher (ETH, Switzerland), Oleksandr Isayev (Carnegie Mellon University, US), Alexandre Tkatchenko (University of Luxembourg, Luxembourg), Rose K. Cersonsky (University of Wisconsin-Madison, US), Pavlo O. Dral (Xiamen, China), among others.
- Organiser: Department of Chemistry - BMC
- Contact person: Roland Lindh
The International Symposium on Machine Learning in Quantum Chemistry (SMLQC) will gather theoretical and computational chemists, who use machine learning to accelerate and improve quantum chemical simulations.
The symbiosis between machine learning technology and quantum chemistry offer a new ground for novel and impressive leaps forward for computational chemistry.
Themes of the conference include the development of new quantum chemical techniques improved by machine learning, development of new machine learning methods for describing potential energy surfaces and running molecular dynamics, and application of machine learning for description of various physicochemical processes.
Welcome to participate and listen to the world leading scientists in the field present their recent accomplishments!
The lectures will be grouped around five themes, with 24 invited speakers.
You are very welcome!
On behalf of the organizing committee,