Investigating Facet Selectivity of Li Deposition on Cu Current Collector for Anode-Free Lithium Metal Batteries
Bibliographic record
Abstract
Li metal is considered as one of optimal candidates for high-energy anode material because it has the highest theoretical specific capacity (3,860 mAh g -1 ) and the lowest redox potential (−3.04 V vs. standard hydrogen electrode). However, safety concerns and low coulombic efficiency issues, which are caused by the inhomogeneous Li deposition/dissolution and continuous corrosion by electrolytes during battery cycling, have prohibited the use of metallic Li as anode in practical Li metal batteries. Lithium metal batteries (LMBs), which replace graphite anode with Li metal from conventional lithium ion batteries (LIBs), are considered as the most realistic approach to increase energy density of rechargeable battery. Furthermore, an anode-free LMB which features the only use of current collector in the anode compartment is the design to maximize the energy density of LMB. Because the current collector could affect the nucleation behaviors at the initial state of Li plating and the morphological development of the subsequently plated Li, it is a key component for achieving cycling stability of anode-free LMBs. Cu current collector is the most widely adopted current collector for the anode of LIBs and LMBs due to its high conductivity, mechanical property, and electrochemical stability, but is known to have a large Li nucleation overpotential in comparison with Au or Ag. That is because the binding energies of Li atom on bulk Li is much larger than that of Li atom on bulk Cu (which are around 24~30 and 2.5~2.7 kcal mol -1 , respectively). Therefore, the surficial modulation of Cu current collector is needed to improve the affinity between Li metal and Cu and induce uniform initial Li deposition on Cu current collector. Cu collectors used for lithium ion battery, which are fabricated by electrodeposition method, have various crystalline facets on their surfaces. On the basis of the principle of nucleation and growth, the degree of crystalline misfit between adsorbent and substrate can vary depending on the surface facet of substrate. We believe that it can be a key principle for manipulating an initial Li nucleation mode on Cu substrate. In detail, we explore a facet selective Li nucleation and growth phenomenon on Cu and demonstrate that controlling the facet structure can improve the uniformity in Li deposition and the cycling stability. Preferential Li deposition on the Cu(100) plane is demonstrated by electrochemical analysis of the Cu single crystal surfaces and by EBSD analysis of the Li-deposited Cu surfaces. DFT calculations show that a difference in the Li adsorption energy during the initial Li deposition process among the Cu facets is responsible for the facet selectivity. A majorly (100) plane-orientated Cu foil fabricated with a simple annealing method has a more uniform Li nucleation with a 6-times higher nuclei density and a two-fold enhancement in the Li cycling stability compared with a conventional Cu foil with randomly oriented surface facets. The control of the surface facet provides a new design principle for the current collector of lithium metal batteries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".