Vacancy-enhanced Li solid-solution anodes for solid-state batteries: computational screening enabling high critical current density
Abstract
Sluggish vacancy-mediated self-diffusion in lithium metal limits the critical current density (CCD) of Li anodes in solid-state batteries by promoting interfacial void formation during stripping. To enhance the effective vacancy concentration while preserving the bcc Li host, we screen 50 substitutional solutes using density functional theory (DFT) within a funnel based on automatic phase diagram construction, solution energies, solute-vacancy binding energies, and experimental solubility limits. Using an adaptation of the Lomer model for the dilute limit, we show that only Ag, Ge, and Cd solid solutions are predicted to reach 1 mA cm−2 within their solubility limits. The thermodynamically estimated CCD of Ag at ∼ 9 at.% reaches ∼ 4 mA cm−2 at a theoretical capacity of 1522 mAh g−1. Migration barrier calculations indicate that the enhancement may be partially offset by vacancy trapping, necessitating further validation via molecular dynamics simulations. Notably, Hume-Rothery rules alone prove insufficient as prefilters, whereas machine-learning models trained on the DFT data can eliminate most unsuitable solutes early in the funnel and extend the workflow to related solid-solution searches.
Related
- Functionalization-Driven Charge Redistribution Enabling Ultra-High-Capacity V2B MBene Anode for Li/Na ion batteries: A First-Principles study
- Effect of Stress and Surface Roughness on Electrodeposition in All-Solid-State Batteries: A Computational Investigation
- Enhanced charging in open Rabi and Dicke quantum batteries
- Cosm: orchestrated collective dynamics give rise to rapid computational search at the solution frontier
- Computational Screening of Infrared Resonant Bands in Cholesterol Monohydrate for Selective Laser Lithotripsy of Cholesterol Gallstones
BibTeX
@misc{burov2026vacancyenhanced,
title = {{Vacancy-enhanced Li solid-solution anodes for solid-state batteries: computational screening enabling high critical current density}},
author = {Arseniy S. Burov and Nadezhda A. Ashikhmina and Nurlan Zhanabayev and Anton O. Boev and Aleksandra D. Radina and Ilya V. Chepkasov and Alexander G. Kvashnin and Dmitry A. Aksyonov},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.32938},
eprint = {2610.32938},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.32938},
}
RIS
TY - UNPB
TI - Vacancy-enhanced Li solid-solution anodes for solid-state batteries: computational screening enabling high critical current density
AU - Arseniy S. Burov
AU - Nadezhda A. Ashikhmina
AU - Nurlan Zhanabayev
AU - Anton O. Boev
AU - Aleksandra D. Radina
AU - Ilya V. Chepkasov
AU - Alexander G. Kvashnin
AU - Dmitry A. Aksyonov
PY - 2026
DA - 2026/10/23
PB - arXiv
DO - 10.48550/arxiv.2610.32938
UR - https://arxiv.org/abs/2610.32938
AB - Sluggish vacancy-mediated self-diffusion in lithium metal limits the critical current density (CCD) of Li anodes in solid-state batteries by promoting interfacial void formation during stripping. To enhance the effective vacancy concentration while preserving the bcc Li host, we screen 50 substitutional solutes using density functional theory (DFT) within a funnel based on automatic phase diagram construction, solution energies, solute-vacancy binding energies, and experimental solubility limits. Using an adaptation of the Lomer model for the dilute limit, we show that only Ag, Ge, and Cd solid solutions are predicted to reach 1 mA cm^−2 within their solubility limits. The thermodynamically estimated CCD of Ag at ∼ 9 at.% reaches ∼ 4 mA cm^−2 at a theoretical capacity of 1522 mAh g^−1. Migration barrier calculations indicate that the enhancement may be partially offset by vacancy trapping, necessitating further validation via molecular dynamics simulations. Notably, Hume-Rothery rules alone prove insufficient as prefilters, whereas machine-learning models trained on the DFT data can eliminate most unsuitable solutes early in the funnel and extend the workflow to related solid-solution searches.
ER -