Mesoscale heterogeneities in graphite electrodes: Modeling the effect of microstructure and non-ideal anisotropic diffusion on the electrochemical response

Graphite is the state-of-the-art negative electrode material for lithium-ion batteries, valued for its low-cost, high-energy density, and cycling stability. However, it remains important to improve negative electrode performance for fast-charging applications, which has direct implications for optimized electrode microstructures. In this work, we present a three-dimensional microstructural modeling framework that explicitly resolves porous graphite electrodes with stochastic particle arrangements and carbon-binder domains (CBD). The model accounts for particle size distributions, orientation-dependent anisotropic diffusion, and non-ideal solid diffusion to approximate the phase-separating behavior of graphite. Simulations demonstrate that electrode architecture is a critical performance driver: vertically aligned ellipsoids reduce tortuosity and enable higher capacities at elevated C-rates, while random orientations introduce transport limitations. Particle size, contact between particles, and CBD coverage govern lithiation heterogeneities, leading to localized current hotspots and sharp concentration gradients that may accelerate cracking, delamination, and thermal risks. Furthermore, neglecting anisotropy in diffusion models systematically overestimates capacity and underpredicts heterogeneity, especially at intermediate rates. Our developed modeling platform thus provides a high-fidelity description of the interplay between electrode microstructure, anisotropic diffusion, and electrochemical response. Beyond improving predictive accuracy, it offers actionable insights for rational electrode design aimed at enhancing efficiency and mitigating degradation in graphite-based negative electrodes. • 3D microstructural modeling of porous graphite electrodes with carbon-binder-domain • Orientation-dependent anisotropic diffusion in ellipsoidal particles • Non-ideal solid diffusion reveals phase-separation behavior in graphite. • Ignoring anisotropy overestimates capacity.

Authors

Institutions

Publication Details

Journal
Journal of Energy Storage
Published
2026-01-30
DOI
https://doi.org/10.1016/j.est.2026.120772
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mesoscale heterogeneities in graphite electrodes: Modeling the effect of microstructure and non-ideal anisotropic diffusion on the electrochemical response

Oier Arcelus, Álvaro Abucide-Armas, Faheem Mushtaq, Javier Carrasco
Journal of Energy Storage
Advancements in Battery Materials
article

Mesoscale heterogeneities in graphite electrodes: Modeling the effect of microstructure and non-ideal anisotropic diffusion on the electrochemical response

Oier Arcelus, Álvaro Abucide-Armas, Faheem Mushtaq, Javier Carrasco
article en

Abstract

Graphite is the state-of-the-art negative electrode material for lithium-ion batteries, valued for its low-cost, high-energy density, and cycling stability. However, it remains important to improve negative electrode performance for fast-charging applications, which has direct implications for optimized electrode microstructures. In this work, we present a three-dimensional microstructural modeling framework that explicitly resolves porous graphite electrodes with stochastic particle arrangements and carbon-binder domains (CBD). The model accounts for particle size distributions, orientation-dependent anisotropic diffusion, and non-ideal solid diffusion to approximate the phase-separating behavior of graphite. Simulations demonstrate that electrode architecture is a critical performance driver: vertically aligned ellipsoids reduce tortuosity and enable higher capacities at elevated C-rates, while random orientations introduce transport limitations. Particle size, contact between particles, and CBD coverage govern lithiation heterogeneities, leading to localized current hotspots and sharp concentration gradients that may accelerate cracking, delamination, and thermal risks. Furthermore, neglecting anisotropy in diffusion models systematically overestimates capacity and underpredicts heterogeneity, especially at intermediate rates. Our developed modeling platform thus provides a high-fidelity description of the interplay between electrode microstructure, anisotropic diffusion, and electrochemical response. Beyond improving predictive accuracy, it offers actionable insights for rational electrode design aimed at enhancing efficiency and mitigating degradation in graphite-based negative electrodes. • 3D microstructural modeling of porous graphite electrodes with carbon-binder-domain • Orientation-dependent anisotropic diffusion in ellipsoidal particles • Non-ideal solid diffusion reveals phase-separation behavior in graphite. • Ignoring anisotropy overestimates capacity.

Journal of Energy StorageVol. 152
Ikerbasque (ES), University of the Basque Country (ES), CIC energiGUNE (ES)
Affordable and clean energy
Openalex Percentile: Top 72%
Advancements in Battery Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.