The 2nd edition of the International Symposium on Machine Learning in Quantum Chemistry, SMLQC 2023, is approaching and will be held from November 29 to December 1 in Uppsala, Sweden. See the symposium’s website https://www.smlqc2023.com/ for more information. The deadline …
SMLQC 2023: The 2nd International Symposium on Machine Learning in Quantum Chemistry Read more »
We are happy to announce that on the occasion of its ten-year anniversary, we have released on September 12 a brand new MLatom 3 with tons of new features including more simulation options, Python API for user-customized workflows, and its …
MLatom 3: 10-year anniversary edition is released! Read more »
Molecular dynamics simulations are widely used to study molecules and materials and lots of effort is put into making these simulations obey the physical laws. Energy conservation law is obviously one of the most important laws that MD should respect. …
Energy-conserving molecular dynamics is not energy conserving! Read more »
We have introduced a concept of 4D-spacetime atomistic AI models that learn how the molecule changes in time. We demonstrate that this concept is feasible by developing the 4D-spacetime GICnet models that directly predict the atomic coordinates of a molecule …
Surging efforts and fast progress in AI methods for photochemistry and photophysics make it difficult to track the current state of the art. We cover the recent developments in this field in the chapter on Machine learning methods in photochemistry …
Chapter “Machine Learning Methods in Photochemistry and Photophysics” Read more »
In a recent article published in Frontiers in Physics, we introduce QD3SET-1, a database consisting of 8 data sets that provide the time-evolved population and coherence dynamics for two widely studied systems: the so-called spin-boson model and FMO complex. The …
QD3SET-1: A Database with Quantum Dissipative Dynamics Data Sets Read more »
We have got many interesting submissions to the Special Issue ‘Artificial Intelligence in Computational Chemistry’ and some papers are already online. Many authors requested more time for submission, so we are pleased to extend it to two more months. There …
Check out the themed collection and our editorial on Insightful machine learning for physical chemistry in PCCP – it was a pleasure for me to guest edit it with Aurora Clark, Olexandr Isayev, and Isaac Tamblyn. Happy reading!
Activation of methane and its conversion to added-value products is an important topic which requires chemical solutions with high yields and selectivity. In our recent collaborative study, we present the oxidation of methane to methanol using nitrogen dioxide as a …
The second edition of the International Symposium on Machine Learning in Quantum Chemistry will be held in person in Uppsala from 29 Nov. to 1 Dec. 2023. More updates to follow on the Symposium website smlqc2023.com!