Albert P. Bartok

Cited by

	All	Since 2019
Citations	12035	10314
h-index	26	22
i10-index	41	34

2600

1300

650

1950

201220132014201520162017201820192020202120222023202446 62 111 113 162 358 687 898 1358 1461 1859 2217 2510

Public access

View all

34 articles

1 article

available

not available

Based on funding mandates

Co-authors

Gabor CsanyiProfessor of Molecular Modelling, Engineering Laboratory, University of CambridgeVerified email at cam.ac.uk
Michele CeriottiAssociate Professor at EPFL, Institute of MaterialsVerified email at epfl.ch
Risi KondorAssociate Professor, The University of ChicagoVerified email at cs.uchicago.edu
James KermodeProfessor of Materials Modelling, School of Engineering, University of WarwickVerified email at warwick.ac.uk
Livia B. PartayAssociate Professor, University of WarwickVerified email at warwick.ac.uk
Volker L. DeringerUniversity of OxfordVerified email at chem.ox.ac.uk
Christoph OrtnerUniversity of British ColumbiaVerified email at math.ubc.ca
Sandip DeBASFVerified email at basf.com
Jonathan YatesDepartment of Materials, University of OxfordVerified email at materials.ox.ac.uk
andrás baranyaiInstitute of Chemistry, Eötvös UniversityVerified email at chem.elte.hu
Matthew CliffeUniversity of NottinghamVerified email at nottingham.ac.uk
Rachel Nathaniel KerberSenior Scientist, Johnson Matthey Technology CentreVerified email at matthey.com
Clare P. GreyYusuf Hamied Department of Chemistry, University of CambridgeVerified email at cam.ac.uk
Ariel Chialvo - ORCID # 0000-0002-6...Oak Ridge National Laboratory (Retired)Verified email at ufl.edu
David M WilkinsQueen's University BelfastVerified email at qub.ac.uk
Carl PoelkingUniversity of CambridgeVerified email at cam.ac.uk
Fred ManbyIambic TherapeuticsVerified email at iambic.ai
Sergey N. PozdnyakovÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
Dario AlfeProfessor of Physics at University College London and Universita' di Napoli Federico IIVerified email at ucl.ac.uk
Félix MusilCuspAIVerified email at cusp.ai

Albert P. Bartok

University of Warwick

Verified email at warwick.ac.uk

Theoretical Chemistry Condensed Matter


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gaussian approximation potentials: The accuracy of quantum mechanics, without the electrons AP Bartók, MC Payne, R Kondor, G Csányi Physical review letters 104 (13), 136403, 2010	2831	2010
On representing chemical environments AP Bartók, R Kondor, G Csányi Physical Review B—Condensed Matter and Materials Physics 87 (18), 184115, 2013	2504	2013
Gaussian process regression for materials and molecules VL Deringer, AP Bartók, N Bernstein, DM Wilkins, M Ceriotti, G Csányi Chemical Reviews 121 (16), 10073-10141, 2021	795	2021
Comparing molecules and solids across structural and alchemical space S De, AP Bartók, G Csányi, M Ceriotti Physical Chemistry Chemical Physics 18 (20), 13754-13769, 2016	756	2016
Machine learning unifies the modeling of materials and molecules AP Bartók, S De, C Poelking, N Bernstein, JR Kermode, G Csányi, ... Science advances 3 (12), e1701816, 2017	720	2017
G aussian approximation potentials: A brief tutorial introduction AP Bartók, G Csányi International Journal of Quantum Chemistry 115 (16), 1051-1057, 2015	658	2015
Machine learning a general-purpose interatomic potential for silicon AP Bartók, J Kermode, N Bernstein, G Csányi Physical Review X 8 (4), 041048, 2018	601	2018
Physics-inspired structural representations for molecules and materials F Musil, A Grisafi, AP Bartók, C Ortner, G Csányi, M Ceriotti Chemical Reviews 121 (16), 9759-9815, 2021	451	2021
Modeling molecular interactions in water: From pairwise to many-body potential energy functions GA Cisneros, KT Wikfeldt, L Ojamäe, J Lu, Y Xu, H Torabifard, AP Bartók, ... Chemical reviews 116 (13), 7501-7528, 2016	433	2016
Accuracy and transferability of Gaussian approximation potential models for tungsten WJ Szlachta, AP Bartók, G Csányi Physical Review B 90 (10), 104108, 2014	332	2014
Realistic atomistic structure of amorphous silicon from machine-learning-driven molecular dynamics VL Deringer, N Bernstein, AP Bartók, MJ Cliffe, RN Kerber, LE Marbella, ... The journal of physical chemistry letters 9 (11), 2879-2885, 2018	261	2018
Machine-learning approach for one-and two-body corrections to density functional theory: Applications to molecular and condensed water AP Bartók, MJ Gillan, FR Manby, G Csányi Physical Review B—Condensed Matter and Materials Physics 88 (5), 054104, 2013	234	2013
Regularized SCAN functional AP Bartók, JR Yates The Journal of chemical physics 150 (16), 2019	226	2019
Incompleteness of atomic structure representations SN Pozdnyakov, MJ Willatt, AP Bartók, C Ortner, G Csányi, M Ceriotti Physical Review Letters 125 (16), 166001, 2020	198	2020
Roadmap on machine learning in electronic structure HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ... Electronic Structure 4 (2), 023004, 2022	136	2022
Efficient sampling of atomic configurational spaces LB Pártay, AP Bartók, G Csányi The Journal of Physical Chemistry B 114 (32), 10502-10512, 2010	124	2010
Determining pressure-temperature phase diagrams of materials RJN Baldock, LB Pártay, AP Bartók, MC Payne, G Csányi Physical Review B 93 (17), 174108, 2016	75	2016
First-principles energetics of water clusters and ice: A many-body analysis MJ Gillan, D Alfè, AP Bartók, G Csányi The Journal of chemical physics 139 (24), 2013	54	2013
Machine learning force fields based on local parametrization of dispersion interactions: Application to the phase diagram of H Muhli, X Chen, AP Bartók, P Hernández-León, G Csányi, T Ala-Nissila, ... Physical Review B 104 (5), 054106, 2021	51	2021
Nested sampling for materials: The case of hard spheres LB Pártay, AP Bartók, G Csányi Physical Review E 89 (2), 022302, 2014	47	2014

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors