Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 9, 2025Energy & Environmental ScienceOpen Access

Modeling Single-Crystal Electrodes as a Network of Primary Particles

View Full Paper
Ask AI
Bookmark
Share

Authors

POPierfrancesco OmbriniDelft University of TechnologySPShakul PathakMassachusetts Institute of TechnologyDNDimitrios Ntagkras

Discussion

Loading...

Member takes

Implication

This approach improves predictions of battery behavior in lithium-ion systems, suggesting advancements in energy storage technologies.

Key Points

  • The model predicts lithium-ion battery performance more accurately in single-crystal systems, enhancing future designs.
  • Phase-separating single-crystal electrodes present challenges for conventional modeling techniques like Doyle–Fuller–Newman.
  • A network model of primary particles effectively addresses limitations in traditional battery modeling methods.
  • Improving accurate battery predictions could lead to advancements in energy storage and performance.

Cite This Study

Ombrini et al. (2025) studied this question.

synapsesocial.com/papers/68e7f0af2d7e30942762c8f7https://doi.org/10.1039/d5ee04131g
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Toward Understanding of Electrical Limitations (Electronic, Ionic) in LiMPO[sub 4] (M=Fe, Mn) Electrode Materials2005 · 620 citations
  2. 2Beyond Constant Current: Origin of Pulse-Induced Activation in Phase-Transforming Battery Electrodes2024 · 26 citations
  3. 3Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel2023 · 104 citations
  4. 4Thermodynamics of multi-sublattice battery active materials: from an extended regular solution theory to a phase-field model of LiMnyFe1-yPO42023 · 22 citations