Igor Poltavsky - Concepedia

Author

Igor Poltavsky

Also Known As

I. I. Poltavsky, I. Poltavsky, I.I. Poltavsky, Igor I. Poltavsky, Igor Poltavsky, Poltavsky, Igor, Poltavskyi, Igor, Shyue Ping Ong

Publications

2.7K

Citations

H-Index

Concepts

All Affiliations

University of Luxembourg Fritz Haber Institute of the Max Planck Society Technische Universität Berlin Korea University Max Planck Institute for Informatics

About

Igor Poltavsky is an author at University of Luxembourg specializing in engineering, natural sciences, and physical chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	797
2	Natural Sciences	7	7	633
3	Applied Physics	4	4	102
4	Chemical Engineering	2	2	76
5	Medicine	1	1	31

Igor Poltavsky

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
Machine learning of accurate energy-conserving molecular force fields Stefan Chmiela, Alexandre Tkatchenko, Huziel E. Sauceda, Science Advances	2017	1.2K
i-PI 2.0: A universal force engine for advanced molecular simulations Venkat Kapil, Mariana Rossi, Ondřej Maršálek, Computer Physics Communications EngineeringPhysicsNatural SciencesUniversal Force EngineMolecular Biology	2018	370
sGDML: Constructing accurate and data efficient molecular force fields using machine learning Stefan Chmiela, Huziel E. Sauceda, Igor Poltavsky, Computer Physics Communications	2019	233
Machine Learning Force Fields: Recent Advances and Remaining Challenges Igor Poltavsky, Alexandre Tkatchenko The Journal of Physical Chemistry Letters Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolComputational Chemistry	2021	118
A practical guide to machine learning interatomic potentials – Status and future Ryan Jacobs, Dane Morgan, Siamak Attarian, Current Opinion in Solid State and Materials Science EngineeringMachine LearningData SciencePhysic Aware Machine LearningMachine Learning Tool	2025	105
Quantum tunneling of thermal protons through pristine graphene Igor Poltavsky, Limin Zheng, Majid Mortazavi, The Journal of Chemical Physics Permeability MechanismEngineeringChemistryGraphene NanomeshesChemical Engineering	2018	63
Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors Miguel Gallegos, Valentín Vassilev-Galindo, Igor Poltavsky, Nature Communications	2024	58
Challenges for machine learning force fields in reproducing potential energy surfaces of flexible molecules Valentín Vassilev-Galindo, Grégory Fonseca, Igor Poltavsky, The Journal of Chemical Physics	2021	50
Modeling quantum nuclei with perturbed path integral molecular dynamics Igor Poltavsky, Alexandre Tkatchenko Chemical Science	2015	38
Efficient interatomic descriptors for accurate machine learning force fields of extended molecules Adil Kabylda, Valentín Vassilev-Galindo, Stefan Chmiela, Nature Communications EngineeringMolecular BiologyComputational ChemistryForce FieldsMolecular Dynamics	2023	37

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