Density-dependent sodium-storage mechanisms in hard carbon materials
Alexis Front, Tapio Ala-Nissila, and Miguel A. Caro

TL;DR
This study combines multiscale simulations and machine learning to elucidate how the density of hard carbon materials influences sodium storage mechanisms, guiding the design of better anodes for sodium-ion batteries.
Contribution
It introduces a multiscale methodology integrating GCMC simulations with machine-learning potentials to analyze sodium storage in hard carbons of varying densities, revealing density-dependent storage behaviors.
Findings
Low-density carbons favor pore-filling with high capacities.
High-density carbons mainly store sodium via adsorption and intercalation.
Intermediate-density carbons balance capacity, stability, and volume change.
Abstract
Understanding the sodium-storage mechanism in hard carbon (HC) anodes is crucial for advancing sodium-ion battery (SIB) technology. However, the intrinsic complexity of HC microstructures and their interactions with sodium remain not fully elucidated. We present a multiscale methodology that integrates grand-canonical Monte Carlo (GCMC) simulations with a machine-learning interatomic potential based on the Gaussian approximation potential (GAP) framework to investigate sodium insertion mechanisms in hard carbons with different levels of porosity, achieved by simulating structural models with densities ranging from 0.7 to 1.9 g cm. Structural and thermodynamic analyses reveal the interplay between pore size and accessibility and the relative contributions of adsorption, intercalation, and pore filling to the overall storage capacity. Low-density carbons favor pore-filling,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvancements in Battery Materials · Thermal Expansion and Ionic Conductivity · Advanced Battery Materials and Technologies
