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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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Machine Learning in Chemistry

JPCL | Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training
Machine Learning in Chemistry, Method Development

JPCL | Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training

Fuchun Ge Apr 17, 2024 Tagged with JPCL, ML, MLatom, MLP, publications

A machine learning potential with low error in the potential energies does not guarantee good performance …

JPCL | Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training Read more →

Surface hopping dynamics with MLatom is coming: Join online broadcast!
Machine Learning in Chemistry, Method Development, News, Semiempirical Methods

Surface hopping dynamics with MLatom is coming: Join online broadcast!

Pavlo Dral Apr 3, 2024 Tagged with AI, AIQM1, excited states, ML, MLatom, MLatom release, nonadiabatic dynamics, SQC

MLatom@XACS makes AI-enhanced computational chemistry more accessible and supports both ground- and excited-state simulations with quantum …

Surface hopping dynamics with MLatom is coming: Join online broadcast! Read more →

Machine Learning in Chemistry, Method Development, News

MLatom 3.2.0 released

Pavlo Dral Mar 20, 2024 Tagged with MLatom, MLatom release

We are happy to announce that MLatom 3.2.0 is released on 19.03.2024. See the full release …

MLatom 3.2.0 released Read more →

Chem. Commun. Feature Article: “AI in computational chemistry through the lens of a decade-long journey”
Machine Learning in Chemistry, Method Development

Chem. Commun. Feature Article: “AI in computational chemistry through the lens of a decade-long journey”

Pavlo Dral Mar 14, 2024 Tagged with AI, Chem. Commun., ML, publications, review

My review ‘AI in computational chemistry through the lens of a decade-long journey’ was published open …

Chem. Commun. Feature Article: “AI in computational chemistry through the lens of a decade-long journey” Read more →

Artificial-Intelligence-Enhanced On-the-Fly Simulation of Nonlinear Time-Resolved Spectra
Machine Learning in Chemistry, Method Development, News

Artificial-Intelligence-Enhanced On-the-Fly Simulation of Nonlinear Time-Resolved Spectra

Pavlo Dral Feb 28, 2024 Tagged with AI, excited states, ML, MLatom, publications, spectra

AI-accelerated nonadiabatic dynamics reduces the cost of the ab initio simulations of nonlinear time-resolved spectra. We …

Artificial-Intelligence-Enhanced On-the-Fly Simulation of Nonlinear Time-Resolved Spectra Read more →

MLatom 3 for AI-enhanced computational chemistry: JCTC paper and online tutorial
Machine Learning in Chemistry, Method Development, News

MLatom 3 for AI-enhanced computational chemistry: JCTC paper and online tutorial

Pavlo Dral Feb 7, 2024 Tagged with AI, JCTC, ML, MLatom, MLatom PyAPI, 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 →

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 →

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 →

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