Combining machine learning and computational chemistry for predictive insights into chemical systems
Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …
by dramatically accelerating computational algorithms and amplifying insights available from …
Theoretical advances in polariton chemistry and molecular cavity quantum electrodynamics
When molecules are coupled to an optical cavity, new light–matter hybrid states, so-called
polaritons, are formed due to quantum light–matter interactions. With the experimental …
polaritons, are formed due to quantum light–matter interactions. With the experimental …
Machine learning for electronically excited states of molecules
J Westermayr, P Marquetand - Chemical Reviews, 2020 - ACS Publications
Electronically excited states of molecules are at the heart of photochemistry, photophysics,
as well as photobiology and also play a role in material science. Their theoretical description …
as well as photobiology and also play a role in material science. Their theoretical description …
MN15: A Kohn–Sham global-hybrid exchange–correlation density functional with broad accuracy for multi-reference and single-reference systems and noncovalent …
Kohn–Sham density functionals are widely used; however, no currently available exchange–
correlation functional can predict all chemical properties with chemical accuracy. Here we …
correlation functional can predict all chemical properties with chemical accuracy. Here we …
The calculations of excited-state properties with Time-Dependent Density Functional Theory
C Adamo, D Jacquemin - Chemical Society Reviews, 2013 - pubs.rsc.org
In this tutorial review, we show how Time-Dependent Density Functional Theory (TD-DFT)
has become a popular tool for computing the signatures of electronically excited states, and …
has become a popular tool for computing the signatures of electronically excited states, and …
Recent advances and perspectives on nonadiabatic mixed quantum–classical dynamics
R Crespo-Otero, M Barbatti - Chemical reviews, 2018 - ACS Publications
Nonadiabatic mixed quantum–classical (NA-MQC) dynamics methods form a class of
computational theoretical approaches in quantum chemistry tailored to investigate the time …
computational theoretical approaches in quantum chemistry tailored to investigate the time …
TD‐DFT benchmarks: a review
AD Laurent, D Jacquemin - International Journal of Quantum …, 2013 - Wiley Online Library
Time‐Dependent Density Functional Theory (TD‐DFT) has become the most widely‐used
theoretical approach to simulate the optical properties of both organic and inorganic …
theoretical approach to simulate the optical properties of both organic and inorganic …
Circularly polarized luminescence and circular dichroisms in small organic molecules: correlation between excitation and emission dissymmetry factors
H Tanaka, Y Inoue, T Mori - ChemPhotoChem, 2018 - Wiley Online Library
Prompted by the recent rapid growth of interest in circularly polarized luminescence (CPL) of
organic molecules, we have collected all the reliable CPL, as well as the corresponding …
organic molecules, we have collected all the reliable CPL, as well as the corresponding …
Luminescent ionic transition‐metal complexes for light‐emitting electrochemical cells
Higher efficiency in the end‐use of energy requires substantial progress in lighting concepts.
All the technologies under development are based on solid‐state electroluminescent …
All the technologies under development are based on solid‐state electroluminescent …
Revisiting the performance of time-dependent density functional theory for electronic excitations: Assessment of 43 popular and recently developed functionals from …
In this paper, the performance of more than 40 popular or recently developed density
functionals is assessed for the calculation of 463 vertical excitation energies against the …
functionals is assessed for the calculation of 463 vertical excitation energies against the …