O. Anatole von Lilienfeld
O. Anatole von Lilienfeld
Professor of Computational Materials Discovery, Faculty of Physics, University of Vienna
univie.ac.at üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Fast and accurate modeling of molecular atomization energies with machine learning
M Rupp, A Tkatchenko, KR Müller, OA Von Lilienfeld
Physical review letters 108 (5), 058301, 2012
11752012
Optimization of effective atom centered potentials for London dispersion forces in density functional theory
OA Von Lilienfeld, I Tavernelli, U Rothlisberger, D Sebastiani
Physical review letters 93 (15), 153004, 2004
5852004
Quantum chemistry structures and properties of 134 kilo molecules
R Ramakrishnan, PO Dral, M Rupp, OA Von Lilienfeld
Scientific data 1 (1), 1-7, 2014
5572014
Assessment and validation of machine learning methods for predicting molecular atomization energies
K Hansen, G Montavon, F Biegler, S Fazli, M Rupp, M Scheffler, ...
Journal of Chemical Theory and Computation 9 (8), 3404-3419, 2013
4482013
Machine learning predictions of molecular properties: Accurate many-body potentials and nonlocality in chemical space
K Hansen, F Biegler, R Ramakrishnan, W Pronobis, OA Von Lilienfeld, ...
The journal of physical chemistry letters 6 (12), 2326-2331, 2015
4382015
Machine learning of molecular electronic properties in chemical compound space
G Montavon, M Rupp, V Gobre, A Vazquez-Mayagoitia, K Hansen, ...
New Journal of Physics 15 (9), 095003, 2013
4382013
Long range interactions in nanoscale science
RH French, VA Parsegian, R Podgornik, RF Rajter, A Jagota, J Luo, ...
Reviews of Modern Physics 82 (2), 1887, 2010
3632010
Prediction errors of molecular machine learning models lower than hybrid DFT error
FA Faber, L Hutchison, B Huang, J Gilmer, SS Schoenholz, GE Dahl, ...
Journal of chemical theory and computation 13 (11), 5255-5264, 2017
357*2017
Big data meets quantum chemistry approximations: the Δ-machine learning approach
R Ramakrishnan, PO Dral, M Rupp, OA von Lilienfeld
Journal of chemical theory and computation 11 (5), 2087-2096, 2015
3282015
Machine Learning Energies of 2 Million Elpasolite Crystals
FA Faber, A Lindmaa, OA Von Lilienfeld, R Armiento
Physical review letters 117 (13), 135502, 2016
2452016
Crystal structure representations for machine learning models of formation energies
F Faber, A Lindmaa, OA von Lilienfeld, R Armiento
International Journal of Quantum Chemistry 115 (16), 1094-1101, 2015
2332015
Two-and three-body interatomic dispersion energy contributions to binding in molecules and solids
O Anatole von Lilienfeld, A Tkatchenko
The Journal of chemical physics 132 (23), 234109, 2010
2052010
Collective many-body van der Waals interactions in molecular systems
RA DiStasio, OA von Lilienfeld, A Tkatchenko
Proceedings of the National Academy of Sciences 109 (37), 14791-14795, 2012
1932012
Communication: Understanding molecular representations in machine learning: The role of uniqueness and target similarity
B Huang, OA Von Lilienfeld
The Journal of Chemical Physics 145 (16), 161102, 2016
1892016
Library of dispersion-corrected atom-centered potentials for generalized gradient approximation functionals: Elements H, C, N, O, He, Ne, Ar, and Kr
IC Lin, MD Coutinho-Neto, C Felsenheimer, OA von Lilienfeld, I Tavernelli, ...
Physical Review B 75 (20), 205131, 2007
1802007
Alchemical and structural distribution based representation for universal quantum machine learning
FA Faber, AS Christensen, B Huang, OA Von Lilienfeld
The Journal of chemical physics 148 (24), 241717, 2018
1792018
Fourier series of atomic radial distribution functions: A molecular fingerprint for machine learning models of quantum chemical properties
OA Von Lilienfeld, R Ramakrishnan, M Rupp, A Knoll
International Journal of Quantum Chemistry 115 (16), 1084-1093, 2015
1722015
Machine learning for quantum mechanical properties of atoms in molecules
M Rupp, R Ramakrishnan, OA Von Lilienfeld
The Journal of Physical Chemistry Letters 6 (16), 3309-3313, 2015
1512015
Quantum machine learning in chemical compound space
OA Von Lilienfeld
Angewandte Chemie International Edition 57 (16), 4164-4169, 2018
1332018
Performance of optimized atom-centered potentials for weakly bonded systems using density functional theory
OA von Lilienfeld, I Tavernelli, U Rothlisberger, D Sebastiani
Physical Review B 71 (19), 195119, 2005
1282005
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20