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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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Job Offers

Open Master’s Positions in 2023

Yaohuang Huang Dec 5, 2022

The group of Prof. Pavlo Dral in College of Chemistry and Chemical Engineering at Xiamen University …

Open Master’s Positions in 2023 Read more →

Machine Learning in Chemistry, News

New manual for MLatom@XACS

Pavlo Dral Nov 25, 2022 Tagged with manual, ML, MLatom

We are happy to announce that our brand-new manual for MLatom@XACS is now online at http://mlatom.com/manual/. Our …

New manual for MLatom@XACS Read more →

News

Welcome New Members of Our Group (2022)!

Yaohuang Huang Nov 7, 2022

Yuxinxin Chen (master student), Yeyun Chen (co-supervised PhD student) and Yaohuang Huang (research assistant) join our …

Welcome New Members of Our Group (2022)! Read more →

A comparative study of different machine learning methods for dissipative quantum dynamics
Machine Learning in Chemistry, Method Development, News

A comparative study of different machine learning methods for dissipative quantum dynamics

Yaohuang Huang Oct 19, 2022 Tagged with ML, MLatom, MLST, QD

Recently, Machine Learning (ML) is increasingly used for fast and accurate propagation of quantum dissipative dynamics …

A comparative study of different machine learning methods for dissipative quantum dynamics Read more →

The Newton-X platform for surface hopping and nuclear ensembles
Electronic Structure Calculations, Machine Learning in Chemistry, Method Development, News

The Newton-X platform for surface hopping and nuclear ensembles

Pavlo Dral Oct 5, 2022 Tagged with excited states, JCTC, ML, MLatom, nonadiabatic dynamics

Mario Barbatti, his group and collaborators published an update on Newton-X – a popular open-source platform…

Read more →

Book “Quantum Chemistry in the Age of Machine Learning”
Machine Learning in Chemistry, News, Uncategorized

Book “Quantum Chemistry in the Age of Machine Learning”

Pavlo Dral Sep 20, 2022 Tagged with book, ML, publications

The book “Quantum Chemistry in the Age of Machine Learning” guides aspiring beginners and specialists in …

Book “Quantum Chemistry in the Age of Machine Learning” Read more →

Tutorial on ML in CECAM school MLQCDyn featuring MLatom@XACS
Machine Learning in Chemistry, News

Tutorial on ML in CECAM school MLQCDyn featuring MLatom@XACS

Pavlo Dral Sep 19, 2022 Tagged with ML, MLatom, tutorial, XACS

MLatom@XACS team introduced how to use machine learning in chemistry in the CECAM Machine Learning and Quantum …

Tutorial on ML in CECAM school MLQCDyn featuring MLatom@XACS Read more →

Materials design with MLatom for ammonia separation and storage
Electronic Structure Calculations, Machine Learning in Chemistry, Method Development, News

Materials design with MLatom for ammonia separation and storage

Pavlo Dral Jul 20, 2022 Tagged with DFT, JPCC, Materials design, ML, MLatom

We used our MLatom package to develop a machine learning approach for designing materials based on …

Materials design with MLatom for ammonia separation and storage Read more →

Uncategorized

Congratulations to Bao-Xin Xue with the defense of his Master thesis!

Pavlo Dral Jul 15, 2022

The man behind machine learning-nuclear ensemble approach graduated! Congratulations to Baoxin, my very first graduate student! …

Congratulations to Bao-Xin Xue with the defense of his Master thesis! Read more →

Machine Learning in Chemistry, Method Development

One-Shot Trajectory Learning of Open Quantum Systems Dynamics

Arif Ullah Jun 27, 2022 Tagged with ML, publications

In the work published in the Journal of Physical Chemistry Letters, we have proposed a one-shot trajectory …

One-Shot Trajectory Learning of Open Quantum Systems Dynamics Read more →

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