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The Journal of Chemical Physics
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July 3, 2020
Publisher's Note: "Charge-transfer selectivity and quantum interference in real-time electron dynamics: Gaining insights from time-dependent configuration interaction simulations" [J. Chem. Phys. 152, 194111 (2020)]
Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
March 9, 2021
Charge-transfer selectivity and quantum interference in real-time electron dynamics: Gaining insights from time-dependent configuration interaction simulations
Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
April 24, 2015
Semi-quartic force fields retrieved from multi-mode expansions: Accuracy, scaling behavior, and approximations
Raghunathan Ramakrishnan, Guntram Rauhut
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|
January 8, 2013
Vibrational energy levels of difluorodioxirane computed with variational and perturbative methods from a hybrid force field
Raghunathan Ramakrishnan, Tucker Carrington
Journal of Computational Chemistry
|
September 18, 2025
Leveraging the Bias-Variance Tradeoff in Quantum Chemistry for Accurate Negative Singlet-Triplet Gap Predictions: A Case for Double-Hybrid DFT
Atreyee Majumdar, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
April 15, 2019
Machine learning modeling of Wigner intracule functionals for two electrons in one-dimension
Rutvij Bhavsar, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
December 21, 2023
Bandgaps of long-period polytypes of IV, IV-IV, and III-V semiconductors estimated with an Ising-type additivity model
Raghunathan Ramakrishnan, Shruti Jain
The Journal of Chemical Physics
|
February 16, 2021
High-throughput design of Peierls and charge density wave phases in Q1D organometallic materials
Prakriti Kayastha, Raghunathan Ramakrishnan
Chemistry (Weinheim an Der Bergstrasse, Germany)
|
February 5, 2026
Insights Into Symmetry and Substitution Patterns Governing Singlet-Triplet Energy Gap in the Chemical Space of Azaphenalenes
Atreyee Majumdar, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
January 23, 2026
Enhancing NMR shielding predictions of atoms-in-molecules machine learning models with neighborhood-informed representations
Surajit Das, Raghunathan Ramakrishnan
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of 4
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Showing results (1-10 of 34) with videos related to
Sort By:
Page
of 4
The Journal of Chemical Physics
|
July 3, 2020
Publisher's Note: "Charge-transfer selectivity and quantum interference in real-time electron dynamics: Gaining insights from time-dependent configuration interaction simulations" [J. Chem. Phys. 152, 194111 (2020)]
Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
March 9, 2021
Charge-transfer selectivity and quantum interference in real-time electron dynamics: Gaining insights from time-dependent configuration interaction simulations
Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
April 24, 2015
Semi-quartic force fields retrieved from multi-mode expansions: Accuracy, scaling behavior, and approximations
Raghunathan Ramakrishnan, Guntram Rauhut
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|
January 8, 2013
Vibrational energy levels of difluorodioxirane computed with variational and perturbative methods from a hybrid force field
Raghunathan Ramakrishnan, Tucker Carrington
Journal of Computational Chemistry
|
September 18, 2025
Leveraging the Bias-Variance Tradeoff in Quantum Chemistry for Accurate Negative Singlet-Triplet Gap Predictions: A Case for Double-Hybrid DFT
Atreyee Majumdar, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
April 15, 2019
Machine learning modeling of Wigner intracule functionals for two electrons in one-dimension
Rutvij Bhavsar, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
December 21, 2023
Bandgaps of long-period polytypes of IV, IV-IV, and III-V semiconductors estimated with an Ising-type additivity model
Raghunathan Ramakrishnan, Shruti Jain
The Journal of Chemical Physics
|
February 16, 2021
High-throughput design of Peierls and charge density wave phases in Q1D organometallic materials
Prakriti Kayastha, Raghunathan Ramakrishnan
Chemistry (Weinheim an Der Bergstrasse, Germany)
|
February 5, 2026
Insights Into Symmetry and Substitution Patterns Governing Singlet-Triplet Energy Gap in the Chemical Space of Azaphenalenes
Atreyee Majumdar, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
January 23, 2026
Enhancing NMR shielding predictions of atoms-in-molecules machine learning models with neighborhood-informed representations
Surajit Das, Raghunathan Ramakrishnan
Page
of 4