Hubbard corrections from first-principles made easy via automated and reproducible workflows
ORAL
Abstract
Hubbard-corrected density-functional theory in its extended formulation (DFT+U+V) has proven to accurately capture the electronic structure and physical properties of compounds containing localized d and f electrons [1], greatly reducing self-interaction errors. While the onsite (U) and intersite (V) Hubbard parameters can be computed self-consistently from first-principles, their large-scale determination necessitates a robust and scalable approach. Here, we present an automated, flexible framework based on the AiiDA infrastructure to self-consistently calculate these parameters using density-functional perturbation theory [2]. We demonstrate the scalability and reliability of the framework by computing in a high-throughput fashion the self-consistent onsite U and intersite V parameters for 115 Li-containing bulk solids with up to 32 atoms. Our analysis of the computed Hubbard parameters reveals a significant correlation of the onsite U values on the oxidation state and coordination environment of the central atom, while intersite V values exhibit a general decay with increasing interatomic distance. This framework paves the way for high-throughput screening across diverse research areas, including the discovery of novel cathode materials for Li-ion batteries, as well as other technologically-relevant applications.
[1] I. Timrov et al., PRX Energy 1, 033003 (2022)
[2] I. Timrov et al., PRB 98, 085127 (2018)
[1] I. Timrov et al., PRX Energy 1, 033003 (2022)
[2] I. Timrov et al., PRB 98, 085127 (2018)
*Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy (EXC 2077, No. 390741603, University Allowance, University of Bremen). MaX Centre of Excellence for supercomputing applications, funded by the European Commission (grant number 16HPB069). NCCR MARVEL, funded by the SNSF (grant number 182892). CSCS on the Swiss share of the LUMI system (project ID 465000416).
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Presenters
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Lorenzo Bastonero
- University of Bremen