Symposium on Machine Learning in Quantum Chemistry (SMLQC-2021)

The International Symposium on Machine Learning in Quantum Chemistry (SMLQC) will be held in Nov. 12–14, 2021. It will gather the theoretical and computational chemists, who use machine learning to accelerate and improve quantum chemical simulations. The topics of the conference include, but 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 symposium is organized and supported by the State Key Laboratory of Physical Chemistry of Solid Surfaces (PCOSS), Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry (FTCC), and College of Chemistry and Chemical Engineering at Xiamen University, China

For more details, please visit the website:

http://mlatom.com/smlqc-2021/