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Merzuk Kaltak

Showing results (1-10 of 8) with videos related to

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The Journal of Chemical Physics|April 23, 2021
Optimized effective potentials from the random-phase approximation: Accuracy of the quasiparticle approximationStefan Riemelmoser, Merzuk Kaltak, Georg Kresse
Journal of Chemical Theory and Computation|November 19, 2015
Low Scaling Algorithms for the Random Phase Approximation: Imaginary Time and Laplace TransformationsMerzuk Kaltak, Jiří Klimeš, Georg Kresse
The Journal of Chemical Physics|December 2, 2024
Density-based long-range electrostatic descriptors for machine learning force fieldsCarolin Faller, Merzuk Kaltak, Georg Kresse
The Journal of Chemical Physics|April 10, 2020
Plane wave basis set correction methods for RPA correlation energiesStefan Riemelmoser, Merzuk Kaltak, Georg Kresse
Journal of Chemical Theory and Computation|October 6, 2023
Machine Learning Density Functionals from the Random-Phase ApproximationStefan Riemelmoser, Carla Verdi, Merzuk Kaltak, et al.
The Journal of Chemical Physics|September 17, 2015
Singles correlation energy contributions in solidsJiří Klimeš, Merzuk Kaltak, Emanuele Maggio, et al.
Physical Review Letters|September 6, 2014
Direct view at excess electrons in TiO2 rutile and anataseMartin Setvin, Cesare Franchini, Xianfeng Hao, et al.
Nature Communications|May 25, 2017
Visualization of lithium-ion transport and phase evolution within and between manganese oxide nanorodsFeng Xu, Lijun Wu, Qingping Meng, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|April 23, 2021
Optimized effective potentials from the random-phase approximation: Accuracy of the quasiparticle approximationStefan Riemelmoser, Merzuk Kaltak, Georg Kresse
Journal of Chemical Theory and Computation|November 19, 2015
Low Scaling Algorithms for the Random Phase Approximation: Imaginary Time and Laplace TransformationsMerzuk Kaltak, Jiří Klimeš, Georg Kresse
The Journal of Chemical Physics|December 2, 2024
Density-based long-range electrostatic descriptors for machine learning force fieldsCarolin Faller, Merzuk Kaltak, Georg Kresse
The Journal of Chemical Physics|April 10, 2020
Plane wave basis set correction methods for RPA correlation energiesStefan Riemelmoser, Merzuk Kaltak, Georg Kresse
Journal of Chemical Theory and Computation|October 6, 2023
Machine Learning Density Functionals from the Random-Phase ApproximationStefan Riemelmoser, Carla Verdi, Merzuk Kaltak, et al.
The Journal of Chemical Physics|September 17, 2015
Singles correlation energy contributions in solidsJiří Klimeš, Merzuk Kaltak, Emanuele Maggio, et al.
Physical Review Letters|September 6, 2014
Direct view at excess electrons in TiO2 rutile and anataseMartin Setvin, Cesare Franchini, Xianfeng Hao, et al.
Nature Communications|May 25, 2017
Visualization of lithium-ion transport and phase evolution within and between manganese oxide nanorodsFeng Xu, Lijun Wu, Qingping Meng, et al.
Pageof 1