TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations SG Balasubramani, GP Chen, S Coriani, M Diedenhofen, MS Frank, ... The Journal of Chemical Physics 152 (18), 184107, 2020 | 763 | 2020 |
Explicitly correlated PNO-MP2 and PNO-CCSD and their application to the S66 set and large molecular systems G Schmitz, C Hättig, DP Tew Physical Chemistry Chemical Physics 16 (40), 22167-22178, 2014 | 110 | 2014 |
Perturbative triples correction for local pair natural orbital based explicitly correlated CCSD (F12*) using Laplace transformation techniques G Schmitz, C Hättig The Journal of Chemical Physics 145 (23), 234107, 2016 | 80 | 2016 |
A cubic scaling PNO–MP2 method using a hybrid OSV–PNO approach with an iterative direct generation of OSVs G Schmitz, B Helmich, C Haettig Molecular Physics 111 (16-17), 2463-2476, 2013 | 72 | 2013 |
Auxiliary basis sets for density-fitted correlated wavefunction calculations: weighted core-valence and ECP basis sets for post-d elements C Hättig, G Schmitz, J Koßmann Physical Chemistry Chemical Physics 14 (18), 6549-6555, 2012 | 67 | 2012 |
Machine learning for potential energy surfaces: An extensive database and assessment of methods G Schmitz, IH Godtliebsen, O Christiansen The Journal of Chemical Physics 150 (24), 244113, 2019 | 62 | 2019 |
Gaussian process regression to accelerate geometry optimizations relying on numerical differentiation G Schmitz, O Christiansen The Journal of Chemical Physics 148 (24), 241704, 2018 | 62 | 2018 |
Accuracy of explicitly correlated local PNO-CCSD (T) G Schmitz, C Hättig Journal of chemical theory and computation 13 (6), 2623-2633, 2017 | 42 | 2017 |
Assessment of the DLPNO Binding Energies of Strongly Noncovalent Bonded Atmospheric Molecular Clusters G Schmitz, J Elm ACS omega 5 (13), 7601-7612, 2020 | 41 | 2020 |
The PNO–MP2 gradient and its application to molecular geometry optimisations MS Frank, G Schmitz, C Hättig Molecular Physics 115 (3), 343-356, 2017 | 41 | 2017 |
Approximate high mode coupling potentials using Gaussian process regression and adaptive density guided sampling G Schmitz, DG Artiukhin, O Christiansen The Journal of Chemical Physics 150 (13), 131102, 2019 | 39 | 2019 |
A Gaussian process regression adaptive density guided approach for potential energy surface construction G Schmitz, EL Klinting, O Christiansen The Journal of Chemical Physics 153 (6), 064105, 2020 | 25 | 2020 |
Combining Accuracy and Efficiency: An Incremental Focal-Point Method Based on Pair Natural Orbitals B Fiedler, G Schmitz, C Hättig, J Friedrich Journal of chemical theory and computation 13 (12), 6023-6042, 2017 | 15 | 2017 |
Can Small Polyaromatics Describe Their Larger Counterparts for Local Reactions? A Computational Study on the H-Abstraction Reaction by an H-Atom from Polyaromatics O Yönder, G Schmitz, C Hättig, R Schmid, P Debiagi, C Hasse, ... The Journal of Physical Chemistry A, 2020 | 13 | 2020 |
Massive assessment of the binding energies of atmospheric molecular clusters AB Jensen, J Kubečka, G Schmitz, O Christiansen, J Elm Journal of Chemical Theory and Computation 18 (12), 7373-7383, 2022 | 12 | 2022 |
Atomic-batched tensor decomposed two-electron repulsion integrals G Schmitz, NK Madsen, O Christiansen The Journal of Chemical Physics 146 (13), 134112, 2017 | 11 | 2017 |
An automatized workflow from molecular dynamic simulation to quantum chemical methods to identify elementary reactions and compute reaction constants G Schmitz, Ö Yönder, B Schnieder, R Schmid, C Hättig Journal of Computational Chemistry 42 (32), 2264-2282, 2021 | 8 | 2021 |
Accuracy of frequencies obtained with the aid of explicitly correlated wave function based methods G Schmitz, O Christiansen Journal of chemical theory and computation 13 (8), 3602-3613, 2017 | 7 | 2017 |
Implementation of the iterative triples model CC3 for excitation energies using pair natural orbitals and Laplace transformation techniques MS Frank, G Schmitz, C Hättig The Journal of Chemical Physics 153 (3), 034109, 2020 | 6 | 2020 |
Thermicity of the Decomposition of Oxygen Functional Groups on Cellulose-Derived Chars C Pflieger, T Eckhard, G Schmitz, V Angenent, M Göckeler, O Senneca, ... ACS omega 7 (51), 48606-48614, 2022 | 3 | 2022 |