High-Voltage Lithium Batteries Enabled by Facile In Situ Fabrication of Monophasic Cellulose-Based Single-Ion Conductors
Bibliographic record
Abstract
The growing demand for high-energy-density, safe, and sustainable lithium-ion batteries (LIBs) necessitates the development of innovative electrolytes. Herein, we present a facile in situ preparation strategy for fabricating a high-performance single-ion conductor (SC). This SC is based on hydroxypropyl cellulose (HPC) integrated with polyethylene glycol diacrylate cross-linker, in combination with sodium styrene sulfonate (NaSS) as a functional monomer. The introduction of NaSS is crucial, as it introduces sulfonate groups that are immobilized within the polymer network, enabling selective lithium-ion transport. This approach offers a significant advancement over conventional polyether-based gel polymer electrolytes (GPEs), which usually suffer from limited oxidative stability and require the use of separators, particularly in high-voltage battery applications. The in situ polymerization method presented here eliminates the need for a separator and offers several key advantages: rapid processability, excellent scalability, and the formation of a stable solid electrolyte interface. The result is a robust, separator-free GPE. Our HPC-based single-ion conductor (MHPC SC) exhibits a high lithium transference number of 0.89 and an ionic conductivity of 2.4 mS cm –1 at room temperature. These properties are attributed to efficient lithium-ion transport through its synergistic effect of the polyanionic conductor and HPC matrix. The mechanically robust and highly conformal polymer network effectively suppresses detrimental interfacial reactions and mitigates dendrite growth, resulting in an enhanced cycling stability. Notably, the MHPC SC enables stable operation with high-voltage cathodes up to 4.3 V, achieving 94% capacity retention over 100 cycles. These findings highlight the potential of cellulose-based GPEs as a sustainable and high-performance electrolyte that significantly enhances both the safety and performance of advanced LIBs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".