SMLQC 2023

29/11 -1/12, 2023

Uppsala University
Uppsala, Sweden

The International Symposium on Machine Learning in Quantum Chemistry

29/11 – 1/12-2023

Uppsala, Sweden



All the abstracts are now available to download under the schedule tab

The International Symposium on Machine Learning in Quantum Chemistry (SMLQC) 29/11 – 1/12, 2023, at Uppsala University, Uppsala, Sweden, 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 – this is the place with the most interesting development potential over the next few years. The themes of the conference include, but will not be limited to, 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. The organizing committee is pleased to welcome you to participate at the conference, share view with other researchers in the field, to relax and have fun, and to listen to the world leaders in this expanding field of research presenting their recent accomplishments.

You are very welcome!

On behalf of the organizing committee,

Roland Lindh

SMLQC 2023

The next edition will be held in Uppsala, Sweden, and we thank its organizer Prof. Roland Lindh for his generous offer to host SMLQC-2023. Updates will be posted here as well as on Facebook via group Machine learning in chemistry, and on Twitter

We hope to see you at SMLQC-2023!

Click here to visit the official visitors guide to Uppsala. 


Academic Conferences
Box 7059
750 07 Uppsala, Sweden

Phone: + 46 (0) 18 67 10 03


Important dates

Mid August: Abstract submission opens

31 October: Early Bird deadline

24 November: Poster abstract submission closes


Organising committee:

Pavlo Dral, Xiamen University, China
Chao Zhang, Uppsala University, Sweden
Ignacio F. Galván, Uppsala University, Sweden
Roland Lindh, Uppsala University, Sweden