Engineering Mechanically Adaptive Nanonetworks for Long‐Life and High‐Capacity Silicon Anode Batteries

ABSTRACT Silicon anodes, with a theoretical capacity of 3860 mAh g − 1 , offer more than ten times the lithium storage of graphite but suffer from large volume expansion during lithiation, leading to particle fracture, electrical disconnection, and unstable solid–electrolyte interphases (SEIs). In this study, we present a rheology‐guided materials design strategy that leverages viscoelastic single‐walled carbon nanotube (SWCNT) nanonetworks to construct mechanically adaptive, electrically resilient silicon anodes capable of preserving electrical percolation, dissipating lithiation‐induced stress, and stabilizing the SEI. By tuning polymer binder chemistry and silicon particle size, we form percolated conductive networks that accommodate strain while maintaining interfacial integrity. The optimized Si‐SWCNT anodes, with a carboxymethyl cellulose binder, showed a yielding onset over 10 times higher than polyvinyl pyrrolidone‐based controls, an initial Coulombic efficiency approaching 89%, high capacities across a wide range of rates, and over 51% capacity retention after 100 cycles at 0.5 A g − 1 . In‐situ Raman mapping and electro‐chemo‐mechanical simulations confirm that the optimized networks minimize stress concentrations, promote uniform lithiation, and suppress interfacial degradation. These findings establish a framework for electro‐chemo‐mechanical regulation in silicon anodes, achieved through mechanically adaptive nanonetworks, as a scalable pathway to structurally robust, high‐energy lithium‐ion batteries.

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Publication Details

Journal
Carbon Energy
Published
2026-06-25
DOI
https://doi.org/10.1002/cey2.70280
Primary Topic
Advancements in Battery Materials
Type
article
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article

Engineering Mechanically Adaptive Nanonetworks for Long‐Life and High‐Capacity Silicon Anode Batteries

Yoong Ahm Kim, Amy Shen, Yeeun Song, Mohamed S. Abdelgawad et al.
Carbon Energy
Advancements in Battery Materials
article

Engineering Mechanically Adaptive Nanonetworks for Long‐Life and High‐Capacity Silicon Anode Batteries

Yoong Ahm Kim, Amy Shen, Yeeun Song, Mohamed S. Abdelgawad, Doojin Lee, Youngho Han, Yang Yul Ju
article en

Abstract

ABSTRACT Silicon anodes, with a theoretical capacity of 3860 mAh g − 1 , offer more than ten times the lithium storage of graphite but suffer from large volume expansion during lithiation, leading to particle fracture, electrical disconnection, and unstable solid–electrolyte interphases (SEIs). In this study, we present a rheology‐guided materials design strategy that leverages viscoelastic single‐walled carbon nanotube (SWCNT) nanonetworks to construct mechanically adaptive, electrically resilient silicon anodes capable of preserving electrical percolation, dissipating lithiation‐induced stress, and stabilizing the SEI. By tuning polymer binder chemistry and silicon particle size, we form percolated conductive networks that accommodate strain while maintaining interfacial integrity. The optimized Si‐SWCNT anodes, with a carboxymethyl cellulose binder, showed a yielding onset over 10 times higher than polyvinyl pyrrolidone‐based controls, an initial Coulombic efficiency approaching 89%, high capacities across a wide range of rates, and over 51% capacity retention after 100 cycles at 0.5 A g − 1 . In‐situ Raman mapping and electro‐chemo‐mechanical simulations confirm that the optimized networks minimize stress concentrations, promote uniform lithiation, and suppress interfacial degradation. These findings establish a framework for electro‐chemo‐mechanical regulation in silicon anodes, achieved through mechanically adaptive nanonetworks, as a scalable pathway to structurally robust, high‐energy lithium‐ion batteries.

Carbon Energy
Chonnam National University (KR), California Institute of Technology (US), University of Ulster (GB), Okinawa Institute of Science and Technology Graduate University (JP), Chonnam National University Hospital (KR)
Openalex Percentile: Top 10%
Advancements in Battery Materials
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