Ove Christiansen
Aarhus Universitet
H-index: 74
Europe-Denmark
Top articles of Ove Christiansen
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Active learning approach to simulations of strongly correlated matter with the ghost Gutzwiller approximation | Physical Review Research | Marius S Frank Denis G Artiukhin Tsung-Han Lee Yongxin Yao Kipton Barros | 2024/3/5 |
A bivariational, stable and convergent hierarchy for time-dependent coupled cluster with adaptive basis sets | arXiv preprint arXiv:2402.11378 | Mads Greisen Højlund Ove Christiansen | 2024/2/17 |
Time-dependent coupled cluster with orthogonal adaptive basis functions: General formalism and application to the vibrational problem | The Journal of Chemical Physics | Mads Greisen Højlund Alberto Zoccante Ove Christiansen | 2024/1/14 |
Quasi-direct quantum molecular dynamics: The time-dependent adaptive density-guided approach for potential energy surface construction | Journal of Chemical Theory and Computation | Nicolai Machholdt Høyer Ove Christiansen | 2024/1/6 |
Efficient vibrationally correlated calculations using n-mode expansion-based kinetic energy operators | Physical Chemistry Chemical Physics | Frederik Bader David Lauvergnat Ove Christiansen | 2024 |
Active learning approach to quantum embedding simulations of strongly correlated matter | APS March Meeting Abstracts | Marius Frank Denis Artiukhin Tsung-Han Lee Gargee Bhattacharyya Cole Miles | 2023 |
Efficient time-dependent vibrational coupled cluster computations with time-dependent basis sets at the two-mode coupling level: Full and hybrid TDMVCC [2] | The Journal of Chemical Physics | Andreas Buchgraitz Jensen Mads Greisen Højlund Alberto Zoccante Niels Kristian Madsen Ove Christiansen | 2023/11/28 |
Gaussian process regression adaptive density-guided approach: Toward calculations of potential energy surfaces for larger molecules | The Journal of Chemical Physics | Denis G Artiukhin Ian H Godtliebsen Gunnar Schmitz Ove Christiansen | 2023/7/14 |
Current and future machine learning approaches for modeling atmospheric cluster formation | Jakub Kubečka Yosef Knattrup Morten Engsvang Andreas Buchgraitz Jensen Daniel Ayoubi | 2023/6 | |
General exponential basis set parametrization: Application to time-dependent bivariational wave functions | The Journal of Chemical Physics | Mads Greisen Højlund Alberto Zoccante Ove Christiansen | 2023/5/28 |
Optimizing the number of measurements for vibrational structure on quantum computers: coordinates and measurement schemes | Chemical Science | Marco Majland Rasmus Berg Jensen Mads Greisen Højlund Nikolaj Thomas Zinner Ove Christiansen | 2023 |
Vibrationally correlated calculations in polyspherical coordinates: Taylor expansion-based kinetic energy operators | The Journal of Chemical Physics | F Bader David Lauvergnat O Christiansen | 2023/12/7 |
Bivariational time-dependent wave functions with biorthogonal adaptive basis sets: General formulation and regularization of equations of motion through polar decomposition | The Journal of Chemical Physics | Mads Greisen Højlund Andreas Buchgraitz Jensen Alberto Zoccante Ove Christiansen | 2022/12/21 |
Massive assessment of the binding energies of atmospheric molecular clusters | Journal of Chemical Theory and Computation | Andreas Buchgraitz Jensen Jakub Kubecka Gunnar Schmitz Ove Christiansen Jonas Elm | 2022/11/23 |
Runtime optimization for vibrational structure on quantum computers: coordinates and measurement schemes | arXiv preprint arXiv:2211.11615 | Marco Majland Rasmus Berg Jensen Mads Greisen Højlund Nikolaj Thomas Zinner Ove Christiansen | 2022/11/21 |
Quantum embedding description of the Anderson lattice model with the ghost Gutzwiller approximation | Phys. Rev. B | Nicola Lanatà Marius S. Frank Tsung-Han Lee Gargee Bhattacharyya Pak Ki Henry Tsang Victor L. Quito | 2021 |
Calculating vibrational excitation energies using tensor-decomposed vibrational coupled-cluster response theory | The Journal of Chemical Physics | Niels Kristian Madsen Rasmus Berg Jensen Ove Christiansen | 2021/2/7 |
Bypassing the computational bottleneck of quantum-embedding theories for strong electron correlations with machine learning | Physical Review Research | John Rogers Tsung-Han Lee Sahar Pakdel Wenhu Xu Vladimir Dobrosavljević | 2021/1/29 |
Error mitigation in variational quantum eigensolvers using tailored probabilistic machine learning | arXiv preprint arXiv:2111.08814 | Tao Jiang John Rogers Marius S Frank Ove Christiansen Yong-Xin Yao | 2021/11/16 |
Vibrational coupled cluster computations in polyspherical coordinates with the exact analytical kinetic energy operator | Journal of Chemical Theory and Computation | Emil Lund Klinting David Lauvergnat Ove Christiansen | 2020/5/18 |
