Self-consistent Hubbard parameters from density-functional perturbation theory in the ultrasoft and projector-augmented wave formulations
The self-consistent evaluation of Hubbard parameters using linear-response theory is
crucial for quantitatively predictive calculations based on Hubbard-corrected density …
crucial for quantitatively predictive calculations based on Hubbard-corrected density …
Extensive Benchmarking of DFT+U Calculations for Predicting Band Gaps
Accurate computational predictions of band gaps are of practical importance to the modeling
and development of semiconductor technologies, such as (opto) electronic devices and …
and development of semiconductor technologies, such as (opto) electronic devices and …
[HTML][HTML] HP–A code for the calculation of Hubbard parameters using density-functional perturbation theory
We introduce HP, an implementation of density-functional perturbation theory, designed to
compute Hubbard parameters (on-site U and inter-site V) in the framework of DFT+U and …
compute Hubbard parameters (on-site U and inter-site V) in the framework of DFT+U and …
Quantum embedding theory for strongly correlated states in materials
Quantum embedding theories are promising approaches to investigate strongly correlated
electronic states of active regions of large-scale molecular or condensed systems. Notable …
electronic states of active regions of large-scale molecular or condensed systems. Notable …
Effect of exchange-correlation functionals on the estimation of migration barriers in battery materials
Facile ionic mobility within host frameworks is crucial to the design of high-energy-density
batteries with high-power-densities, where the migration barrier (E m) is the governing …
batteries with high-power-densities, where the migration barrier (E m) is the governing …
Real-time insight into the multistage mechanism of nanoparticle exsolution from a perovskite host surface
In exsolution, nanoparticles form by emerging from oxide hosts by application of redox
driving forces, leading to transformative advances in stability, activity, and efficiency over …
driving forces, leading to transformative advances in stability, activity, and efficiency over …
Machine learning Hubbard parameters with equivariant neural networks
Density-functional theory with extended Hubbard functionals (DFT+ U+ V) provides a robust
framework to accurately describe complex materials containing transition-metal or rare-earth …
framework to accurately describe complex materials containing transition-metal or rare-earth …
Mechanisms for point defect-induced functionality in complex perovskite oxides
Perovskite oxides are an extremely versatile class of materials in which functionality can,
besides other routes, also be engineered via the deliberate introduction of defects. In this …
besides other routes, also be engineered via the deliberate introduction of defects. In this …
Ab initio methods for the computation of physical properties and performance parameters of electrochemical energy storage devices
I Perez - Physical Chemistry Chemical Physics, 2023 - pubs.rsc.org
With the rapid development of electric vehicles and mobile technologies, there is a high
demand for electrochemical energy storage devices and electrochemical energy conversion …
demand for electrochemical energy storage devices and electrochemical energy conversion …
First-Principles Calculations of Magnetite (Fe3O4) above the Verwey Temperature by Using Self-Consistent DFT + U + V
N Naveas, R Pulido, C Marini, P Gargiani… - Journal of Chemical …, 2023 - ACS Publications
In this report, we have used the DFT+ U+ V approach, an extension of the DFT+ U approach
that takes into account both on-site and intersite interactions, to simulate structural …
that takes into account both on-site and intersite interactions, to simulate structural …