Chem. Commun. Feature Article: “AI in computational chemistry through the lens of a decade-long journey”
My review ‘AI in computational chemistry through the lens of a decade-long journey’ was published open …
Author: Pavlo Dral
Artificial-Intelligence-Enhanced On-the-Fly Simulation of Nonlinear Time-Resolved Spectra
AI-accelerated nonadiabatic dynamics reduces the cost of the ab initio simulations of nonlinear time-resolved spectra. We …
MLatom 3 for AI-enhanced computational chemistry: JCTC paper and online tutorial
The capabilities of MLatom 3 are described in the paper published in the J. Chem. Theory …
MLatom 3 for AI-enhanced computational chemistry: JCTC paper and online tutorial Read more →
Editorial on the Special Topic “Modern semiempirical methods” published in JCP
Our editorial on the Special Topic “Modern semiempirical methods” was published in JCP. We overview contributions …
Editorial on the Special Topic “Modern semiempirical methods” published in JCP Read more →
Postdoc in Machine Learning-Based Simulations of Condensed Matter
Location: Xiamen University, China Duration: 2 years (with possible 1-year extension) Xiamen University is offering a …
Postdoc in Machine Learning-Based Simulations of Condensed Matter Read more →
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 …
SMLQC 2023: The 2nd International Symposium on Machine Learning in Quantum Chemistry
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 →
MLatom 3: 10-year anniversary edition is released!
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 →
Energy-conserving molecular dynamics is not energy conserving!
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 →
Beyond 3D-Machine Learning Interatomic Potentials: Meet 4D-Spacetime Atomistic Artificial Intelligence Models
We have introduced a concept of 4D-spacetime atomistic AI models that learn how the molecule changes …