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Physical Chemistry Chemical Physics : PCCP
|
May 14, 2024
Resilience of Hund's rule in the chemical space of small organic molecules
Atreyee Majumdar, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
March 24, 2019
The chemical space of B, N-substituted polycyclic aromatic hydrocarbons: Combinatorial enumeration and high-throughput first-principles modeling
Sabyasachi Chakraborty, Prakriti Kayastha, Raghunathan Ramakrishnan
Physical Chemistry Chemical Physics : PCCP
|
February 14, 2025
Comment on "Designing potentially singlet fission materials with an anti-Kasha behaviour" by R. Pino-Rios, R. Báez-Grez, D. W. Szczepanik, and M. Solá, <i>Phys. Chem. Chem. Phys.</i>, 2024, <b>26</b>, 15386
Komal Jindal, Atreyee Majumdar, Raghunathan Ramakrishnan
Chemical Communications (Cambridge, England)
|
January 24, 2024
Structure prediction from spectra amidst dynamical heterogeneity in melanin
Arpan Choudhury, Raghunathan Ramakrishnan, Debashree Ghosh
Chemical Science
|
July 16, 2025
Unlocking inverted singlet-triplet gap in alternant hydrocarbons with heteroatoms
Atreyee Majumdar, Surajit Das, Raghunathan Ramakrishnan
The Journal of Physical Chemistry. B
|
January 13, 2023
Understanding the Role of Intramolecular Ion-Pair Interactions in Conformational Stability Using an <i>Ab Initio</i> Thermodynamic Cycle
Sabyasachi Chakraborty, Kalyaneswar Mandal, Raghunathan Ramakrishnan
Chemical Science
|
June 24, 2021
Troubleshooting unstable molecules in chemical space
Salini Senthil, Sabyasachi Chakraborty, Raghunathan Ramakrishnan
Chimia
|
December 17, 2015
Many Molecular Properties from One Kernel in Chemical Space
Raghunathan Ramakrishnan, O Anatole von Lilienfeld
The Journal of Chemical Physics
|
January 30, 2021
Critical benchmarking of popular composite thermochemistry models and density functional approximations on a probabilistically pruned benchmark dataset of formation enthalpies
Sambit Kumar Das, Sabyasachi Chakraborty, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
January 1, 2022
Data-driven modeling of S<sub>0</sub> → S<sub>1</sub> excitation energy in the BODIPY chemical space: High-throughput computation, quantum machine learning, and inverse design
Amit Gupta, Sabyasachi Chakraborty, Debashree Ghosh, et al.
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Search research articles
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Showing results (11-20 of 34) with videos related to
Sort By:
Page
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Physical Chemistry Chemical Physics : PCCP
|
May 14, 2024
Resilience of Hund's rule in the chemical space of small organic molecules
Atreyee Majumdar, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
March 24, 2019
The chemical space of B, N-substituted polycyclic aromatic hydrocarbons: Combinatorial enumeration and high-throughput first-principles modeling
Sabyasachi Chakraborty, Prakriti Kayastha, Raghunathan Ramakrishnan
Physical Chemistry Chemical Physics : PCCP
|
February 14, 2025
Comment on "Designing potentially singlet fission materials with an anti-Kasha behaviour" by R. Pino-Rios, R. Báez-Grez, D. W. Szczepanik, and M. Solá, <i>Phys. Chem. Chem. Phys.</i>, 2024, <b>26</b>, 15386
Komal Jindal, Atreyee Majumdar, Raghunathan Ramakrishnan
Chemical Communications (Cambridge, England)
|
January 24, 2024
Structure prediction from spectra amidst dynamical heterogeneity in melanin
Arpan Choudhury, Raghunathan Ramakrishnan, Debashree Ghosh
Chemical Science
|
July 16, 2025
Unlocking inverted singlet-triplet gap in alternant hydrocarbons with heteroatoms
Atreyee Majumdar, Surajit Das, Raghunathan Ramakrishnan
The Journal of Physical Chemistry. B
|
January 13, 2023
Understanding the Role of Intramolecular Ion-Pair Interactions in Conformational Stability Using an <i>Ab Initio</i> Thermodynamic Cycle
Sabyasachi Chakraborty, Kalyaneswar Mandal, Raghunathan Ramakrishnan
Chemical Science
|
June 24, 2021
Troubleshooting unstable molecules in chemical space
Salini Senthil, Sabyasachi Chakraborty, Raghunathan Ramakrishnan
Chimia
|
December 17, 2015
Many Molecular Properties from One Kernel in Chemical Space
Raghunathan Ramakrishnan, O Anatole von Lilienfeld
The Journal of Chemical Physics
|
January 30, 2021
Critical benchmarking of popular composite thermochemistry models and density functional approximations on a probabilistically pruned benchmark dataset of formation enthalpies
Sambit Kumar Das, Sabyasachi Chakraborty, Raghunathan Ramakrishnan
The Journal of Chemical Physics
|
January 1, 2022
Data-driven modeling of S<sub>0</sub> → S<sub>1</sub> excitation energy in the BODIPY chemical space: High-throughput computation, quantum machine learning, and inverse design
Amit Gupta, Sabyasachi Chakraborty, Debashree Ghosh, et al.
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