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 synergy between machine learning technology and quantum chemistry offers 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 organizing committee is pleased to welcome you to participate at the conference, share your view with other researchers in the field, relax and have fun, and listen to the world leaders in this expanding field of research presenting their recent accomplishments. https://www.smlqc2023.com

Roland Lindh, Pavlo Dral and Chao Zhang