Self-consistent Hubbard parameters from density-functional perturbation theory in the ultrasoft and projector-augmented wave formulations

I Timrov, N Marzari, M Cococcioni - Physical Review B, 2021 - APS
The self-consistent evaluation of Hubbard parameters using linear-response theory is
crucial for quantitatively predictive calculations based on Hubbard-corrected density …

Extensive Benchmarking of DFT+U Calculations for Predicting Band Gaps

NE Kirchner-Hall, W Zhao, Y **ong, I Timrov, I Dabo - Applied Sciences, 2021 - mdpi.com
Accurate computational predictions of band gaps are of practical importance to the modeling
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

I Timrov, N Marzari, M Cococcioni - Computer Physics Communications, 2022 - Elsevier
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 …

Quantum embedding theory for strongly correlated states in materials

H Ma, N Sheng, M Govoni, G Galli - Journal of Chemical Theory …, 2021 - ACS Publications
Quantum embedding theories are promising approaches to investigate strongly correlated
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

R Devi, B Singh, P Canepa… - npj Computational …, 2022 - nature.com
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 …

Real-time insight into the multistage mechanism of nanoparticle exsolution from a perovskite host surface

E Calì, MP Thomas, R Vasudevan, J Wu… - Nature …, 2023 - nature.com
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 …

Machine learning Hubbard parameters with equivariant neural networks

M Uhrin, A Zadoks, L Binci, N Marzari… - npj Computational …, 2025 - nature.com
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 …

Mechanisms for point defect-induced functionality in complex perovskite oxides

C Ricca, U Aschauer - Applied Physics A, 2022 - Springer
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 …

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 …

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 …