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Journal of Physics. Conference Series
|
October 19, 2020
How Novel Algorithms and Access to High Performance Computing Platforms are Enabling Scientific Progress in Atomic and Molecular Physics
Barry I Schneider
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 17, 2004
Discrete variable representation for singular Hamiltonians
Barry I Schneider, Nicolai Nygaard
Physics Today
|
October 19, 2020
NIST's Digital Library of Mathematical Functions
Barry I Schneider, Bruce R Miller, Bonita V Saunders
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
April 12, 2006
Parallel solver for the time-dependent linear and nonlinear Schrödinger equation
Barry I Schneider, Lee A Collins, S X Hu
The Journal of Chemical Physics
|
October 3, 2024
Developing interoperable, accessible software via the atomic, molecular, and optical sciences gateway: A case study of the B-spline atomic R-matrix code graphical user interface
Tom Wolcott, Klaus Bartschat, Sudhakar Pamidighantam, et al.
Journal of Chemical Theory and Computation
|
October 21, 2024
DFT-Based Permutationally Invariant Polynomial Potentials Capture the Twists and Turns of C<sub>14</sub>H<sub>30</sub>
Chen Qu, Paul L Houston, Thomas Allison, et al.
Journal of Chromatography. A
|
April 23, 2021
Predicting Kováts Retention Indices Using Graph Neural Networks
Chen Qu, Barry I Schneider, Anthony J Kearsley, et al.
Journal of Physics. B, Atomic, Molecular, and Optical Physics : an Institute of Physics Journal
|
December 11, 2020
A few selected contributions to electron and photon collisions with H<sub>2</sub> and <math><mrow><msubsup><mtext>H</mtext> <mn>2</mn> <mo>+</mo></msubsup></mrow></math>
Barry I Schneider, Lee A Collins, Klaus Bartschat, et al.
Journal of Molecular Graphics & Modelling
|
February 12, 2022
Graph convolutional neural network applied to the prediction of normal boiling point
Chen Qu, Anthony J Kearsley, Barry I Schneider, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Journal of Physics. Conference Series
|
October 19, 2020
How Novel Algorithms and Access to High Performance Computing Platforms are Enabling Scientific Progress in Atomic and Molecular Physics
Barry I Schneider
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 17, 2004
Discrete variable representation for singular Hamiltonians
Barry I Schneider, Nicolai Nygaard
Physics Today
|
October 19, 2020
NIST's Digital Library of Mathematical Functions
Barry I Schneider, Bruce R Miller, Bonita V Saunders
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
April 12, 2006
Parallel solver for the time-dependent linear and nonlinear Schrödinger equation
Barry I Schneider, Lee A Collins, S X Hu
The Journal of Chemical Physics
|
October 3, 2024
Developing interoperable, accessible software via the atomic, molecular, and optical sciences gateway: A case study of the B-spline atomic R-matrix code graphical user interface
Tom Wolcott, Klaus Bartschat, Sudhakar Pamidighantam, et al.
Journal of Chemical Theory and Computation
|
October 21, 2024
DFT-Based Permutationally Invariant Polynomial Potentials Capture the Twists and Turns of C<sub>14</sub>H<sub>30</sub>
Chen Qu, Paul L Houston, Thomas Allison, et al.
Journal of Chromatography. A
|
April 23, 2021
Predicting Kováts Retention Indices Using Graph Neural Networks
Chen Qu, Barry I Schneider, Anthony J Kearsley, et al.
Journal of Physics. B, Atomic, Molecular, and Optical Physics : an Institute of Physics Journal
|
December 11, 2020
A few selected contributions to electron and photon collisions with H<sub>2</sub> and <math><mrow><msubsup><mtext>H</mtext> <mn>2</mn> <mo>+</mo></msubsup></mrow></math>
Barry I Schneider, Lee A Collins, Klaus Bartschat, et al.
Journal of Molecular Graphics & Modelling
|
February 12, 2022
Graph convolutional neural network applied to the prediction of normal boiling point
Chen Qu, Anthony J Kearsley, Barry I Schneider, et al.
Page
of 1