Single-crystal TiNb2O7 materials via sustainable synthesis for fast-charging lithium-ion battery anodes
Bibliographic record
Abstract
TiNb 2 O 7 (TNO) has emerged as a promising fast-charging anode for lithium-ion batteries (LIBs). However, research on TNO anode materials has been mostly restricted to synthesis of polycrystalline with limited associated mechanistic studies. Herein, we report a novel scalable aqueous synthesis method yielding sub-micron size single-crystal TNO particles following calcination that enables fast-charging anode fabrication. The sustainable co-precipitation process yields amorphous intermediate hydroxides which upon thermal conversion induced crystallization form single crystals. The obtained TNO monocrystalline anode material under 900 °C calcination (TNO-900C) delivers a high gravimetric capacity (279 mAh/g at 1st cycle) and a high volumetric capacity (351.7 mAh/cm 3 at the initial cycle) at 0.5C rate. Additionally, the TNO anode delivers a remarkable capacity of 223 mAh/g at 5C and a high retention of 81.4 % after 200 cycles. In addition, TNO-900C illustrates outstanding fast-charging performance with a reversible capacity of 200 mAh/g at 10C. The intercalation mechanism and diffusion behavior of the monocrystalline TNO anodes are elucidated by electrochemical kinetic analysis (GITT, CV, and EIS). The remarkable fast charging Li-ion storage performance can be attributed to a high Li + diffusion coefficient (1.37 × 10 −13 cm 2 /s), low polarization, and high structural stability. • Single-crystal TiNb 2 O 7 materials exhibiting remarkable fast-charging performance • Novel synthesis method featuring hydrolytic precipitation and calcination for sustainable production • High Li + diffusion kinetics and redox intercalation mechanism revealed by electrochemical characterization
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".