Documentation for MLatom Python API is out!
The new MLatom 3 release comes with the versatile Python API. We are happy to announce the release …
The new MLatom 3 release comes with the versatile Python API. We are happy to announce the release …
The 2nd edition of the International Symposium on Machine Learning in Quantum Chemistry, SMLQC 2023, is …
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 …
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 …
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 …
Surging efforts and fast progress in AI methods for photochemistry and photophysics make it difficult to …
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 …
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 …
Check out the themed collection and our editorial on Insightful machine learning for physical chemistry in …
Activation of methane and its conversion to added-value products is an important topic which requires chemical …