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Jonas A Finkler

Showing results (1-10 of 12) with videos related to

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The Journal of Chemical Physics|May 3, 2020
Funnel hopping Monte Carlo: An efficient method to overcome broken ergodicityJonas A Finkler, Stefan Goedecker
Materials Advances|January 23, 2023
Experimental absence of the non-perovskite ground state phases of MaPbI<sub>3</sub> explained by a Funnel Hopping Monte Carlo study based on a neural network potentialJonas A Finkler, Stefan Goedecker
Materials Advances|April 7, 2023
Principles of isomer stability in small clustersGiuseppe Fisicaro, Bastian Schaefer, Jonas A Finkler, et al.
Accounts of Chemical Research|January 29, 2021
General-Purpose Machine Learning Potentials Capturing Nonlocal Charge TransferTsz Wai Ko, Jonas A Finkler, Stefan Goedecker, et al.
Nature Communications|January 16, 2021
A fourth-generation high-dimensional neural network potential with accurate electrostatics including non-local charge transferTsz Wai Ko, Jonas A Finkler, Stefan Goedecker, et al.
Journal of Chemical Theory and Computation|June 8, 2023
Accurate Fourth-Generation Machine Learning Potentials by Electrostatic EmbeddingTsz Wai Ko, Jonas A Finkler, Stefan Goedecker, et al.
Nanoscale Advances|June 1, 2026
Planar structures of medium-sized gold clusters become ground states upon ionizationMohammad Ismaeil Safa, Ehsan Rahmatizad Khajehpasha, Jonas A Finkler, et al.
The Journal of Physical Chemistry. A|January 27, 2025
Noise-Tolerant Force Calculations in Density Functional Theory: A Surface Integral Approach for Wavelet-Based MethodsMoritz Gubler, Jonas A Finkler, Stig Rune Jensen, et al.
Journal of Chemical Theory and Computation|August 16, 2024
Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge EquilibrationMoritz Gubler, Jonas A Finkler, Moritz R Schäfer, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 9, 2026
Inverse Design of Amorphous Materials With Targeted PropertiesJonas A Finkler, Yan Lin, Tao Du, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
The Journal of Chemical Physics|May 3, 2020
Funnel hopping Monte Carlo: An efficient method to overcome broken ergodicityJonas A Finkler, Stefan Goedecker
Materials Advances|January 23, 2023
Experimental absence of the non-perovskite ground state phases of MaPbI<sub>3</sub> explained by a Funnel Hopping Monte Carlo study based on a neural network potentialJonas A Finkler, Stefan Goedecker
Materials Advances|April 7, 2023
Principles of isomer stability in small clustersGiuseppe Fisicaro, Bastian Schaefer, Jonas A Finkler, et al.
Accounts of Chemical Research|January 29, 2021
General-Purpose Machine Learning Potentials Capturing Nonlocal Charge TransferTsz Wai Ko, Jonas A Finkler, Stefan Goedecker, et al.
Nature Communications|January 16, 2021
A fourth-generation high-dimensional neural network potential with accurate electrostatics including non-local charge transferTsz Wai Ko, Jonas A Finkler, Stefan Goedecker, et al.
Journal of Chemical Theory and Computation|June 8, 2023
Accurate Fourth-Generation Machine Learning Potentials by Electrostatic EmbeddingTsz Wai Ko, Jonas A Finkler, Stefan Goedecker, et al.
Nanoscale Advances|June 1, 2026
Planar structures of medium-sized gold clusters become ground states upon ionizationMohammad Ismaeil Safa, Ehsan Rahmatizad Khajehpasha, Jonas A Finkler, et al.
The Journal of Physical Chemistry. A|January 27, 2025
Noise-Tolerant Force Calculations in Density Functional Theory: A Surface Integral Approach for Wavelet-Based MethodsMoritz Gubler, Jonas A Finkler, Stig Rune Jensen, et al.
Journal of Chemical Theory and Computation|August 16, 2024
Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge EquilibrationMoritz Gubler, Jonas A Finkler, Moritz R Schäfer, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 9, 2026
Inverse Design of Amorphous Materials With Targeted PropertiesJonas A Finkler, Yan Lin, Tao Du, et al.
Pageof 2