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Proceedings of the National Academy of Sciences of the United States of America
|
January 21, 2021
Interpretations of ground-state symmetry breaking and strong correlation in wavefunction and density functional theories
John P Perdew, Adrienn Ruzsinszky, Jianwei Sun, et al.
Journal of Molecular and Cellular Cardiology
|
July 25, 2024
Ryanodine receptor stabilization therapy suppresses Ca<sup>2+</sup>- based arrhythmias in a novel model of metabolic HFpEF
Aaron D Kaplan, Liron Boyman, Christopher W Ward, et al.
Journal of Chemical Theory and Computation
|
January 4, 2023
Understanding Density-Driven Errors for Reaction Barrier Heights
Aaron D Kaplan, Chandra Shahi, Pradeep Bhetwal, et al.
Biorxiv : the Preprint Server for Biology
|
September 18, 2023
Ryanodine Receptor Stabilization Therapy Suppresses Ca <sup>2+</sup> -Based Arrhythmias in a Novel Model of Metabolic HFpEF
Aaron D Kaplan, Liron Boyman, Christopher W Ward, et al.
The Journal of Physical Chemistry Letters
|
October 19, 2020
Correction to "Accurate and Numerically Efficient r<sup>2</sup>SCAN Meta-Generalized Gradient Approximation"
James W Furness, Aaron D Kaplan, Jinliang Ning, et al.
The Journal of Chemical Physics
|
January 23, 2022
Construction of meta-GGA functionals through restoration of exact constraint adherence to regularized SCAN functionals
James W Furness, Aaron D Kaplan, Jinliang Ning, et al.
The Journal of Chemical Physics
|
April 8, 2024
Symmetry breaking and self-interaction correction in the chromium atom and dimer
Rohan Maniar, Kushantha P K Withanage, Chandra Shahi, et al.
Journal of Chemical Theory and Computation
|
June 28, 2024
How Does HF-DFT Achieve Chemical Accuracy for Water Clusters?
Aaron D Kaplan, Chandra Shahi, Raj K Sah, et al.
Chemical Science
|
February 26, 2024
<i>CoeffNet</i>: predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network
Sudarshan Vijay, Maxwell C Venetos, Evan Walter Clark Spotte-Smith, et al.
The Journal of Physical Chemistry. A
|
December 27, 2022
Symmetry Breaking with the SCAN Density Functional Describes Strong Correlation in the Singlet Carbon Dimer
John P Perdew, Shah Tanvir Ur Rahman Chowdhury, Chandra Shahi, et al.
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Search research articles
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Showing results (11-20 of 39) with videos related to
Sort By:
Page
of 4
Proceedings of the National Academy of Sciences of the United States of America
|
January 21, 2021
Interpretations of ground-state symmetry breaking and strong correlation in wavefunction and density functional theories
John P Perdew, Adrienn Ruzsinszky, Jianwei Sun, et al.
Journal of Molecular and Cellular Cardiology
|
July 25, 2024
Ryanodine receptor stabilization therapy suppresses Ca<sup>2+</sup>- based arrhythmias in a novel model of metabolic HFpEF
Aaron D Kaplan, Liron Boyman, Christopher W Ward, et al.
Journal of Chemical Theory and Computation
|
January 4, 2023
Understanding Density-Driven Errors for Reaction Barrier Heights
Aaron D Kaplan, Chandra Shahi, Pradeep Bhetwal, et al.
Biorxiv : the Preprint Server for Biology
|
September 18, 2023
Ryanodine Receptor Stabilization Therapy Suppresses Ca <sup>2+</sup> -Based Arrhythmias in a Novel Model of Metabolic HFpEF
Aaron D Kaplan, Liron Boyman, Christopher W Ward, et al.
The Journal of Physical Chemistry Letters
|
October 19, 2020
Correction to "Accurate and Numerically Efficient r<sup>2</sup>SCAN Meta-Generalized Gradient Approximation"
James W Furness, Aaron D Kaplan, Jinliang Ning, et al.
The Journal of Chemical Physics
|
January 23, 2022
Construction of meta-GGA functionals through restoration of exact constraint adherence to regularized SCAN functionals
James W Furness, Aaron D Kaplan, Jinliang Ning, et al.
The Journal of Chemical Physics
|
April 8, 2024
Symmetry breaking and self-interaction correction in the chromium atom and dimer
Rohan Maniar, Kushantha P K Withanage, Chandra Shahi, et al.
Journal of Chemical Theory and Computation
|
June 28, 2024
How Does HF-DFT Achieve Chemical Accuracy for Water Clusters?
Aaron D Kaplan, Chandra Shahi, Raj K Sah, et al.
Chemical Science
|
February 26, 2024
<i>CoeffNet</i>: predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network
Sudarshan Vijay, Maxwell C Venetos, Evan Walter Clark Spotte-Smith, et al.
The Journal of Physical Chemistry. A
|
December 27, 2022
Symmetry Breaking with the SCAN Density Functional Describes Strong Correlation in the Singlet Carbon Dimer
John P Perdew, Shah Tanvir Ur Rahman Chowdhury, Chandra Shahi, et al.
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of 4