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Chemical Communications (Cambridge, England)
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November 1, 2003
Solid-state electroluminescent devices based on transition metal complexes
Jason Slinker, Dan Bernards, Paul L Houston, et al.
Inorganic Chemistry
|
March 4, 2003
Photophysics and redox behavior of chiral transition metal polymers
Jason A Barron, Samantha Glazier, Stefan Bernhard, et al.
The Journal of Chemical Physics
|
April 7, 2026
Computational spectroscopy using MULTIMODE and machine-learned potentials
Chen Qu, Thomas C Allison, Paul L Houston, et al.
The Journal of Physical Chemistry. A
|
June 24, 2011
The dynamics of allyl radical dissociation
Chao Chen, Bastiaan Braams, David Y Lee, et al.
The Journal of Physical Chemistry. A
|
July 24, 2025
Revisiting the H<sub>5</sub>O<sub>2</sub><sup>+</sup> IR Spectrum with VSCF/VCI and the Influence of Mark Johnson's Experiments in Advancing the Theory of Protonated Water Clusters
Ruitao Ma, Chen Qu, Paul L Houston, et al.
The Journal of Chemical Physics
|
September 10, 2025
The energy landscape of folding in n-C14H30 described by a machine-learned potential
Thomas C Allison, Joel M Bowman, Paul L Houston, et al.
Journal of Chemical Theory and Computation
|
May 7, 2025
Quantum Nature of Ubiquitous Vibrational Features Revealed for Ethylene Glycol
Apurba Nandi, Riccardo Conte, Priyanka Pandey, et al.
The Journal of Physical Chemistry. A
|
January 25, 2024
Ab Initio Potential Energy Surface for NaCl-H<sub>2</sub> with Correct Long-Range Behavior
Priyanka Pandey, Chen Qu, Apurba Nandi, et al.
The Journal of Physical Chemistry Letters
|
September 1, 2023
A Status Report on "Gold Standard" Machine-Learned Potentials for Water
Qi Yu, Chen Qu, Paul L Houston, et al.
Journal of Chemical Theory and Computation
|
April 9, 2024
No Headache for PIPs: A PIP Potential for Aspirin Runs Much Faster and with Similar Precision Than Other Machine-Learned Potentials
Paul L Houston, Chen Qu, Qi Yu, et al.
Page
of 7
Search research articles
Search
Showing results (41-50 of 69) with videos related to
Sort By:
Page
of 7
Chemical Communications (Cambridge, England)
|
November 1, 2003
Solid-state electroluminescent devices based on transition metal complexes
Jason Slinker, Dan Bernards, Paul L Houston, et al.
Inorganic Chemistry
|
March 4, 2003
Photophysics and redox behavior of chiral transition metal polymers
Jason A Barron, Samantha Glazier, Stefan Bernhard, et al.
The Journal of Chemical Physics
|
April 7, 2026
Computational spectroscopy using MULTIMODE and machine-learned potentials
Chen Qu, Thomas C Allison, Paul L Houston, et al.
The Journal of Physical Chemistry. A
|
June 24, 2011
The dynamics of allyl radical dissociation
Chao Chen, Bastiaan Braams, David Y Lee, et al.
The Journal of Physical Chemistry. A
|
July 24, 2025
Revisiting the H<sub>5</sub>O<sub>2</sub><sup>+</sup> IR Spectrum with VSCF/VCI and the Influence of Mark Johnson's Experiments in Advancing the Theory of Protonated Water Clusters
Ruitao Ma, Chen Qu, Paul L Houston, et al.
The Journal of Chemical Physics
|
September 10, 2025
The energy landscape of folding in n-C14H30 described by a machine-learned potential
Thomas C Allison, Joel M Bowman, Paul L Houston, et al.
Journal of Chemical Theory and Computation
|
May 7, 2025
Quantum Nature of Ubiquitous Vibrational Features Revealed for Ethylene Glycol
Apurba Nandi, Riccardo Conte, Priyanka Pandey, et al.
The Journal of Physical Chemistry. A
|
January 25, 2024
Ab Initio Potential Energy Surface for NaCl-H<sub>2</sub> with Correct Long-Range Behavior
Priyanka Pandey, Chen Qu, Apurba Nandi, et al.
The Journal of Physical Chemistry Letters
|
September 1, 2023
A Status Report on "Gold Standard" Machine-Learned Potentials for Water
Qi Yu, Chen Qu, Paul L Houston, et al.
Journal of Chemical Theory and Computation
|
April 9, 2024
No Headache for PIPs: A PIP Potential for Aspirin Runs Much Faster and with Similar Precision Than Other Machine-Learned Potentials
Paul L Houston, Chen Qu, Qi Yu, et al.
Page
of 7