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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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Tag: J. Chem. Phys.

Machine Learning in Chemistry

hML: Hierarchical Machine Learning for PESs

Pavlo Dral May 28, 2020 Tagged with delta-learning, hML, J. Chem. Phys., ML, MLatom, publications

We introduced hierarchical machine learning (hML) approach for building highly accurate potential energy surfaces from multiple …

hML: Hierarchical Machine Learning for PESs Read more →

Machine Learning in Chemistry, News

Self-Correcting Machine Learning and Structure-Based Sampling

Pavlo Dral Jun 28, 2017 Tagged with ab initio, J. Chem. Phys., ML

Structure-based sampling and self-correcting machine learning is used for precise representation of molecular potential energy surfaces …

Self-Correcting Machine Learning and Structure-Based Sampling Read more →

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