Rapid detection of strong correlation with machine learning for transition-metal complex high-throughput screening
Despite its widespread use in chemical discovery, approximate density functional theory
(DFT) is poorly suited to many targets, such as those containing open-shell, 3d transition …
(DFT) is poorly suited to many targets, such as those containing open-shell, 3d transition …
Performance of Localized Coupled Cluster Methods in a Moderately Strong Correlation Regime: Hückel–Möbius Interconversions in Expanded Porphyrins
N Sylvetsky, A Banerjee, M Alonso… - Journal of Chemical …, 2020 - ACS Publications
Localized orbital coupled cluster theory has recently emerged as a nonempirical alternative
to DFT for large systems. Intuitively, one might expect such methods to perform less well for …
to DFT for large systems. Intuitively, one might expect such methods to perform less well for …
All-Purpose Measure of Electron Correlation for Multireference Diagnostics
X Xu, L Soriano-Agueda, X López… - Journal of Chemical …, 2023 - ACS Publications
We present an analytical relationship between two natural orbital occupancy-based indices,
IND¯ and I NDmax, and two established electron correlation metrics: the leading term of a …
IND¯ and I NDmax, and two established electron correlation metrics: the leading term of a …
Coupling natural orbital functional theory and many-body perturbation theory by using nondynamically correlated canonical orbitals
M Rodríguez-Mayorga, I Mitxelena… - Journal of chemical …, 2021 - ACS Publications
We develop a new family of electronic structure methods for capturing at the same time the
dynamic and nondynamic correlation effects. We combine the natural orbital functional …
dynamic and nondynamic correlation effects. We combine the natural orbital functional …
Semi-supervised machine learning enables the robust detection of multireference character at low cost
Multireference (MR) diagnostics are common tools for identifying strongly correlated
electronic structure that makes single-reference (SR) methods (eg, density functional theory …
electronic structure that makes single-reference (SR) methods (eg, density functional theory …
Exploiting ligand additivity for transferable machine learning of multireference character across known transition metal complex ligands
Accurate virtual high-throughput screening (VHTS) of transition metal complexes (TMCs)
remains challenging due to the possibility of high multireference (MR) character that …
remains challenging due to the possibility of high multireference (MR) character that …
Relativistic reduced density matrix functional theory.
M Rodríguez-Mayorga, K Giesbertz, L Visscher - SciPost Chemistry, 2022 - scipost.org
As a new approach to efficiently describe correlation effects in the relativistic quantum world
we propose to consider reduced density matrix functional theory, where the key quantity is …
we propose to consider reduced density matrix functional theory, where the key quantity is …
1-Matrix functional for long-range interaction energy of two hydrogen atoms
J Cioslowski, C Schilling, R Schilling - The Journal of Chemical …, 2023 - pubs.aip.org
The leading terms in the large-R asymptotics of the functional of the one-electron reduced
density matrix for the ground-state energy of the H 2 molecule with the internuclear …
density matrix for the ground-state energy of the H 2 molecule with the internuclear …
A machine learning approach for MP2 correlation energies and its application to organic compounds
R Han, M Rodríguez-Mayorga… - Journal of chemical theory …, 2021 - ACS Publications
A proper treatment of electron correlation effects is indispensable for accurate simulation of
compounds. Various post-Hartree–Fock methods have been adopted to calculate …
compounds. Various post-Hartree–Fock methods have been adopted to calculate …
On the inclusion of one double within CIS and TDDFT
We present an improved approach for generating a set of optimized frontier orbitals (HOMO
and LUMO) that minimizes the energy of one double configuration. We further benchmark …
and LUMO) that minimizes the energy of one double configuration. We further benchmark …