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 …

Quantum computational chemistry

S McArdle, S Endo, A Aspuru-Guzik, SC Benjamin… - Reviews of Modern …, 2020 - APS
One of the most promising suggested applications of quantum computing is solving
classically intractable chemistry problems. This may help to answer unresolved questions …

The mechanism of visible light-induced C–C cross-coupling by C sp3–H bond activation

B Maity, S Dutta, L Cavallo - Chemical Society Reviews, 2023 - pubs.rsc.org
Csp3–C cross-coupling by activating Csp3–H bonds is a dream reaction for the chemical
community, and visible light-induced transition metal-catalysis under mild reaction …

TheoDORE: A toolbox for a detailed and automated analysis of electronic excited state computations

F Plasser - The Journal of chemical physics, 2020 - pubs.aip.org
The advent of ever more powerful excited-state electronic structure methods has led to a
tremendous increase in the predictive power of computation, but it has also rendered the …

Quantum algorithms for quantum dynamics

A Miessen, PJ Ollitrault, F Tacchino… - Nature Computational …, 2023 - nature.com
Among the many computational challenges faced across different disciplines, quantum-
mechanical systems pose some of the hardest ones and offer a natural playground for the …

Molecular excited states through a machine learning lens

PO Dral, M Barbatti - Nature Reviews Chemistry, 2021 - nature.com
Theoretical simulations of electronic excitations and associated processes in molecules are
indispensable for fundamental research and technological innovations. However, such …

Subspace-search variational quantum eigensolver for excited states

KM Nakanishi, K Mitarai, K Fujii - Physical Review Research, 2019 - APS
The variational quantum eigensolver (VQE), a variational algorithm to obtain an
approximated ground state of a given Hamiltonian, is an appealing application of near-term …

Electronic structure methods for the description of nonadiabatic effects and conical intersections

S Matsika - Chemical Reviews, 2021 - ACS Publications
Nonadiabatic effects are ubiquitous in photophysics and photochemistry, and therefore,
many theoretical developments have been made to properly describe them. Conical …

Quantum embedding method for the simulation of strongly correlated systems on quantum computers

M Rossmannek, F Pavosevic, A Rubio… - The Journal of …, 2023 - ACS Publications
Quantum computing has emerged as a promising platform for simulating strongly correlated
systems in chemistry, for which the standard quantum chemistry methods are either …

Progress and challenges in understanding of photoluminescence properties of carbon dots based on theoretical computations

M Langer, M Paloncýová, M Medveď, M Pykal… - Applied Materials …, 2021 - Elsevier
Carbon dots (CDs), including graphene quantum dots, carbon nanodots, carbon quantum
dots, and carbonized polymer dots, belong to extensively studied nanomaterials with a very …