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Viktoria Drontschenko

Showing results (1-10 of 7) with videos related to

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The Journal of Physical Chemistry. A|September 6, 2024
Low-Scaling, Efficient and Memory Optimized Computation of Nuclear Magnetic Resonance Shieldings within the Random Phase Approximation Using Cholesky-Decomposed Densities and an Attenuated Coulomb MetricViktoria Drontschenko, Christian Ochsenfeld
Journal of Chemical Theory and Computation|July 5, 2024
Accurate NMR Shieldings with σ-FunctionalsSteffen Fauser, Viktoria Drontschenko, Christian Ochsenfeld, et al.
Journal of Chemical Theory and Computation|October 20, 2023
Analytical Second-Order Properties for the Random Phase Approximation: Nuclear Magnetic Resonance ShieldingsViktoria Drontschenko, Felix H Bangerter, Christian Ochsenfeld
Journal of Chemical Theory and Computation|August 25, 2021
Lagrangian-Based Minimal-Overhead Batching Scheme for the Efficient Integral-Direct Evaluation of the RPA Correlation EnergyViktoria Drontschenko, Daniel Graf, Henryk Laqua, et al.
Journal of Chemical Theory and Computation|November 4, 2022
Efficient Method for the Computation of Frozen-Core Nuclear Gradients within the Random Phase ApproximationViktoria Drontschenko, Daniel Graf, Henryk Laqua, et al.
Pure and Applied Chemistry. Chimie Pure Et Appliquee|November 27, 2025
Quantum chemistry - from the first steps to linear-scaling electronic structure methodsDaniel Graf, Viktoria Drontschenko, Alexandra Stan-Bernhardt, et al.
The Journal of Physical Chemistry. A|April 23, 2026
A Benchmark and Basis-Set Extrapolation Study of Hyperfine Coupling Constants from the Random Phase Approximation and σ-FunctionalsDaniel Graf, Lu Liu, Florian Siekmann, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry. A|September 6, 2024
Low-Scaling, Efficient and Memory Optimized Computation of Nuclear Magnetic Resonance Shieldings within the Random Phase Approximation Using Cholesky-Decomposed Densities and an Attenuated Coulomb MetricViktoria Drontschenko, Christian Ochsenfeld
Journal of Chemical Theory and Computation|July 5, 2024
Accurate NMR Shieldings with σ-FunctionalsSteffen Fauser, Viktoria Drontschenko, Christian Ochsenfeld, et al.
Journal of Chemical Theory and Computation|October 20, 2023
Analytical Second-Order Properties for the Random Phase Approximation: Nuclear Magnetic Resonance ShieldingsViktoria Drontschenko, Felix H Bangerter, Christian Ochsenfeld
Journal of Chemical Theory and Computation|August 25, 2021
Lagrangian-Based Minimal-Overhead Batching Scheme for the Efficient Integral-Direct Evaluation of the RPA Correlation EnergyViktoria Drontschenko, Daniel Graf, Henryk Laqua, et al.
Journal of Chemical Theory and Computation|November 4, 2022
Efficient Method for the Computation of Frozen-Core Nuclear Gradients within the Random Phase ApproximationViktoria Drontschenko, Daniel Graf, Henryk Laqua, et al.
Pure and Applied Chemistry. Chimie Pure Et Appliquee|November 27, 2025
Quantum chemistry - from the first steps to linear-scaling electronic structure methodsDaniel Graf, Viktoria Drontschenko, Alexandra Stan-Bernhardt, et al.
The Journal of Physical Chemistry. A|April 23, 2026
A Benchmark and Basis-Set Extrapolation Study of Hyperfine Coupling Constants from the Random Phase Approximation and σ-FunctionalsDaniel Graf, Lu Liu, Florian Siekmann, et al.
Pageof 1