Control of Lattice Orientation and Interface of LiCoO<sub>2</sub> for All Solid State Batteries
Bibliographic record
Abstract
All solid state batteries are widely investigated as next generation batteries because they do not suffer from leakage, volatilization, and flammability of liquid electrolyte. Both bulk type and thin film solid batteries have attract great attention. LiCoO2 thin film has been commonly used as the cathode material for solid state batteries due to its high capacity, operating voltage and long cycle life. Because of the importance of the solid-solid interface for the performance of the battery and stability during cycling, i.e. its life time, the interface of substrate/LiCoO2 and LiCoO2/solid electrolyte during the preparation of the solid battery and possible intermediate products in the interlayer attract great attention recently. [1] The deposition parameters has a big influence on the film quality in terms of structure, morphology and electrochemical properties. In the case of layered LiCoO2, lithium-ion diffusion rely on vacancy hopping mechanism within the lithium plane, showing a predominant two dimensional path. Therefore, different orientation of lattice could influence the intercalation properties of LiCoO2 thin film deposited. [2] A primary challenge in all solid state battery is the difficulty of rapidly moving charge across solid/solid interface within the electrodes and across the electrode/electrolyte interface. The consecutive study on electrode and/or electrolyte has achieved great progress for the last decades. However, interfaces still dominate the interfacial impedance during electrochemical reaction. The optimization of interface of substrate/LiCoO2 and LiCoO2 /solid electrolyte could direct the further improvement of current all solid state batteries. Both lithium ion mobility and electrochemical reaction of LiCoO2 thin film with the solid electrolyte and the substrate are related to the interfacial resistance, which could be minimized through controlling growth orientation of LiCoO2during deposition.[3] Therefore, the ionic transportation across solid/solid interface and electrode/electrolyte interface are increased, leading to improved electrochemical performance. In this work, we optimize the deposition parameter to get high crystalline HT-LiCoO2 with hexagonal structure and good electrochemical performance firstly. Next, we study on sputtering deposition of LiCoO2 with different orientation in order to study the LiCoO2/substrate and LiCoO2/solid state electrolyte interface. The compositional (XPS), microstructural (XRD, Raman, SEM) and electrochemical properties of the sputtering LiCoO2thin films with different orientation are investigated. For the study of interface, we will adopt advanced technique to investigate the chemical/physical changes at the interface layers. Reference [1] Luntz, Alan C., et al. The journal of physical chemistry letters 6.22 (2015): 4599-4604. [2] Bates, J. B., et al. Journal of The Electrochemical Society 147.1 (2000): 59-70. [3] Yoon, Yongsub, et al. Journal of Power Sources226 (2013): 186-190.
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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) | 0.002 | 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".