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T Carrington
T Carrington
Verified email at queensu.ca
Title
Cited by
Cited by
Year
Discrete-variable representations and their utilization
JC Light, T Carrington
Advances in Chemical Physics 114, 263-310, 2007
9492007
Variational quantum approaches for computing vibrational energies of polyatomic molecules
JM Bowman, T Carrington, HD Meyer
Molecular Physics 106 (16-18), 2145-2182, 2008
4432008
Encyclopedia of computational chemistry
P von Ragué Schleyer, NL Allinger, T Clark, J Gasteiger, P Kollman, ...
J. Wiley & Sons, 1998
4311998
A general discrete variable method to calculate vibrational energy levels of three‐and four‐atom molecules
MJ Bramley, T Carrington Jr
The Journal of chemical physics 99 (11), 8519-8541, 1993
4231993
The discrete variable representation of a triatomic Hamiltonian in bond length–bond angle coordinates
H Wei, T Carrington
The Journal of chemical physics 97 (5), 3029-3037, 1992
3801992
Reaction surface description of intramolecular hydrogen atom transfer in malonaldehyde
T Carrington Jr, WH Miller
The Journal of chemical physics 84 (8), 4364-4370, 1986
2981986
Fermi resonances and local modes in water, hydrogen sulfide, and hydrogen selenide
L Halonen, T Carrington Jr
The Journal of chemical physics 88 (7), 4171-4185, 1988
2761988
A random-sampling high dimensional model representation neural network for building potential energy surfaces
S Manzhos, T Carrington Jr
The Journal of chemical physics 125 (8), 084109, 2006
2542006
Efficient calculation of highly excited vibrational energy levels of floppy molecules: The band origins of H+3 up to 35 000 cm−1
MJ Bramley, JW Tromp, T Carrington Jr, GC Corey
The Journal of chemical physics 100 (9), 6175-6194, 1994
2311994
A contracted basis-Lanczos calculation of vibrational levels of methane: Solving the Schrödinger equation in nine dimensions
XG Wang, T Carrington Jr
The Journal of chemical physics 119 (1), 101-117, 2003
2032003
Vinylidene: Potential energy surface and unimolecular reaction dynamics
T Carrington Jr, LM Hubbard, HF Schaefer III, WH Miller
The Journal of chemical physics 80 (9), 4347-4354, 1984
2001984
A nested molecule-independent neural network approach for high-quality potential fits
S Manzhos, X Wang, R Dawes, T Carrington
The Journal of Physical Chemistry A 110 (16), 5295-5304, 2006
1892006
Neural network‐based approaches for building high dimensional and quantum dynamics‐friendly potential energy surfaces
Sergei Manzhos, Richard Dawes, Tucker Carrington
International Journal of Quantum Chemistry 115 (16), 1012-1020, 2015
1832015
Using neural networks to represent potential surfaces as sums of products
S Manzhos, T Carrington
The Journal of chemical physics 125 (19), 2006
1792006
Reaction surface Hamiltonian for the dynamics of reactions in polyatomic systems
T Carrington, WH Miller
The Journal of chemical physics 81 (9), 3942-3950, 1984
1721984
Neural networks vs Gaussian process regression for representing potential energy surfaces: A comparative study of fit quality and vibrational spectrum accuracy
A Kamath, RA Vargas-Hernández, RV Krems, T Carrington, S Manzhos
The Journal of chemical physics 148 (24), 2018
1612018
A general framework for discrete variable representation basis sets
RG Littlejohn, M Cargo, T Carrington, KA Mitchell, B Poirier
The Journal of chemical physics 116 (20), 8691-8703, 2002
1592002
Vibrational energy levels of CH5+
XG Wang, T Carrington
The Journal of chemical physics 129 (23), 2008
1572008
The structure of Nb3O and Nb3O+ determined by pulsed field ionization–zero electron kinetic energy photoelectron spectroscopy and density functional theory
DS Yang, MZ Zgierski, DM Rayner, PA Hackett, A Martinez, DR Salahub, ...
The Journal of chemical physics 103 (13), 5335-5342, 1995
1541995
Calculation of triatomic vibrational eigenstates: Product or contracted basis sets, Lanczos or conventional eigensolvers? What is the most efficient combination?
MJ Bramley, T Carrington Jr
The Journal of chemical physics 101 (10), 8494-8507, 1994
1451994
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