Anders S. Christensen
Anders S. Christensen
Quantum Consulting by Christensen
Verified email at unibas.ch - Homepage
Title
Cited by
Cited by
Year
Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications
AS Christensen, T Kubař, Q Cui, M Elstner
Chemical reviews 116 (9), 5301-5337, 2016
2012016
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
1922018
FCHL revisited: faster and more accurate quantum machine learning
AS Christensen, LA Bratholm, FA Faber, O Anatole von Lilienfeld
The Journal of Chemical Physics 152 (4), 044107, 2020
672020
Operators in quantum machine learning: Response properties in chemical space
AS Christensen, FA Faber, OA von Lilienfeld
The Journal of Chemical Physics 150 (6), 064105, 2019
662019
A universal density matrix functional from molecular orbital-based machine learning: Transferability across organic molecules
L Cheng, M Welborn, AS Christensen, TF Miller III
The Journal of Chemical Physics 150 (13), 131103, 2019
622019
Improving intermolecular interactions in DFTB3 using extended polarization from chemical-potential equalization
AS Christensen, M Elstner, Q Cui
The Journal of chemical physics 143 (8), 084123, 2015
482015
QML: A Python toolkit for quantum machine learning
AS Christensen, FA Faber, B Huang, LA Bratholm, A Tkatchenko, ...
URL https://github. com/qmlcode/qml, 2017
37*2017
PHAISTOS: A framework for Markov Chain Monte Carlo simulation and inference of protein structure
W Boomsma, J Frellsen, T Harder, S Bottaro, KE Johansson, P Tian, ...
Journal of computational chemistry 34 (19), 1697-1705, 2013
362013
A third-generation dispersion and third-generation hydrogen bonding corrected PM6 method: PM6-D3H+
JC Kromann, AS Christensen, C Steinmann, M Korth, JH Jensen
PeerJ 2, e449, 2014
332014
DFTB3 parametrization for copper: the importance of orbital angular momentum dependence of hubbard parameters
M Gaus, H Jin, D Demapan, AS Christensen, P Goyal, M Elstner, Q Cui
Journal of chemical theory and computation 11 (9), 4205-4219, 2015
312015
Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
AS Christensen, TE Linnet, M Borg, W Boomsma, K Lindorff-Larsen, ...
PLoS One 8 (12), e84123, 2013
242013
Definitive benchmark study of ring current effects on amide proton chemical shifts
AS Christensen, SPA Sauer, JH Jensen
Journal of Chemical Theory and Computation 7 (7), 2078-2084, 2011
202011
Interface of the polarizable continuum model of solvation with semi-empirical methods in the GAMESS program
C Steinmann, KL Blædel, AS Christensen, JH Jensen
PloS one 8 (7), e67725, 2013
192013
Neural networks and kernel ridge regression for excited states dynamics of CH2NH: From single-state to multi-state representations and multi-property machine learning models
J Westermayr, FA Faber, AS Christensen, OA von Lilienfeld, ...
Machine Learning: Science and Technology 1 (2), 025009, 2020
182020
Towards a barrier height benchmark set for biologically relevant systems
JC Kromann, AS Christensen, Q Cui, JH Jensen
PeerJ 4, e1994, 2016
152016
ProCS15: A DFT-based chemical shift predictor for backbone and Cβ atoms in proteins
AS Larsen, LA Bratholm, AS Christensen, M Channir, JH Jensen
PeerJ 3, e1344, 2015
122015
Bayesian inference of protein structure from chemical shift data
LA Bratholm, AS Christensen, T Hamelryck, JH Jensen
PeerJ 3, e861, 2015
112015
An assessment of the structural resolution of various fingerprints commonly used in machine learning
B Parsaeifard, DS De, AS Christensen, FA Faber, E Kocer, S De, J Behler, ...
Machine Learning: Science and Technology 2 (1), 015018, 2021
102021
On the role of gradients for machine learning of molecular energies and forces
AS Christensen, OA von Lilienfeld
Machine Learning: Science and Technology 1 (4), 045018, 2020
102020
Random versus Systematic Errors in Reaction Enthalpies Computed Using Semiempirical and Minimal Basis Set Methods
JC Kromann, A Welford, AS Christensen, JH Jensen
ACS Omega 3 (4), 4372-4377, 2018
102018
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Articles 1–20