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Dral's Group AI-enhanced computational chemistry | LOOKING FOR POSTDOCS WITH DIFFERENT EXPERTISE (QM AND ML METHOD DEVELOPMENT, SOLID-STATE MEHOD DEVELOPMENT, APPLICATIONS AND MORE)

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News

Documentation for MLatom Python API is out!
Machine Learning in Chemistry, News

Documentation for MLatom Python API is out!

Pavlo Dral Oct 11, 2023 Tagged with manual, MLatom, MLatom PyAPI, Python API

The new MLatom 3 release comes with the versatile Python API. We are happy to announce the release …

Documentation for MLatom Python API is out! Read more →

SMLQC 2023: The 2nd International Symposium on Machine Learning in Quantum Chemistry
News, Posts, Science & Society

SMLQC 2023: The 2nd International Symposium on Machine Learning in Quantum Chemistry

Pavlo Dral Oct 9, 2023 Tagged with SMLQC, SMLQC-2023

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!
Machine Learning in Chemistry, News

MLatom 3: 10-year anniversary edition is released!

Pavlo Dral Sep 22, 2023 Tagged with MLatom, MLatom release

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!
Electronic Structure Calculations, Machine Learning in Chemistry, Method Development, News

Energy-conserving molecular dynamics is not energy conserving!

Pavlo Dral Aug 25, 2023 Tagged with dynamics, ML, PCCp, publication

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
Machine Learning in Chemistry, Method Development, News

Beyond 3D-Machine Learning Interatomic Potentials: Meet 4D-Spacetime Atomistic Artificial Intelligence Models

Pavlo Dral Aug 24, 2023 Tagged with 4D, dynamics, ML, MLatom, publication

We have introduced a concept of 4D-spacetime atomistic AI models that learn how the molecule changes …

Beyond 3D-Machine Learning Interatomic Potentials: Meet 4D-Spacetime Atomistic Artificial Intelligence Models Read more →

Chapter “Machine Learning Methods in Photochemistry and Photophysics”
Machine Learning in Chemistry, News

Chapter “Machine Learning Methods in Photochemistry and Photophysics”

Pavlo Dral Aug 21, 2023 Tagged with chapter, excited states, ML, publications

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 →

Machine Learning in Chemistry, Method Development, News, Posts

QD3SET-1: A Database with Quantum Dissipative Dynamics Data Sets

Arif Ullah Aug 10, 2023 Tagged with dynamics, Frtontiers in Physics, ML, QD3SET-1, quantum dissipative dynamics

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 →

Submissions to Special Issue ‘Artificial Intelligence in Computational Chemistry’ is extended to September 30!
News

Submissions to Special Issue ‘Artificial Intelligence in Computational Chemistry’ is extended to September 30!

Pavlo Dral Aug 1, 2023 Tagged with AI, AI chemistry, AIcompchem, ML

We have got many interesting submissions to the Special Issue ‘Artificial Intelligence in Computational Chemistry’ and …

Submissions to Special Issue ‘Artificial Intelligence in Computational Chemistry’ is extended to September 30! Read more →

The themed collection and the editorial on Insightful machine learning for physical chemistry in finalized and published in PCCP
News

The themed collection and the editorial on Insightful machine learning for physical chemistry in finalized and published in PCCP

Pavlo Dral Jul 19, 2023 Tagged with PCCp, publications

Check out the themed collection and our editorial on Insightful machine learning for physical chemistry in …

The themed collection and the editorial on Insightful machine learning for physical chemistry in finalized and published in PCCP Read more →

Methane Conversion via Photo-Driven Nitration
Electronic Structure Calculations, Electronic Structure Calculations, News

Methane Conversion via Photo-Driven Nitration

Lina Zhang Jul 10, 2023 Tagged with DFT, excited states, publications

Activation of methane and its conversion to added-value products is an important topic which requires chemical …

Methane Conversion via Photo-Driven Nitration Read more →

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