3D Heteroatom-Doped Carbon for Lithium/Zinc Metal Anodes
Notice bibliographique
Résumé
With the advance of portable electronics and electric vehicles, graphite-based lithium-ion batteries with moderate energy densities can not meet the ever-increasing energy demand which calls for high-energy anode materials.[1] Among candidates, lithium metal has been regarded as the ultimate anode for rechargeable batteries because of its highest theoretical specific capacity (3860 mA h g−1) and lowest electrochemical potential (−3.040 V vs SHE).[1] Unfortunately, only primary lithium metal batteries (LMBs) but no rechargeable ones have been commercialized due to the low Coulombic efficiency (CE) and dendritic growth during Li plating/stripping, resulting in short cycle life and safety concerns. Recently, it has been clarified that LMBs failure majorly occur because of low CE, active Li consumption or electrolytes depletion and the low CE is largely caused by “dead” Li formation, which is associated with Li deposition morphology.[2] As such, it is of great significance to develop methods to regulate the Li plating/stripping behavior and minimize the generation of inactive Li deposits for practical application of LMBs. Many strategies have been proposed to improve CE, inhibit Li dendrites, and extend cycle life, including Li host design,[3] electrolyte engineering,[4] separator modification,[5] and artificial solid electrolyte interphase (SEI) construction.[6] In this work, we report the large-area coating of polymer-derived N,O-codoped vertically aligned carbon sheet arrays on commercial Cu foil current collector (NOCA@Cu) as the efficient 3D host toward safe and dendrite-free LMBs through polymer interfacial self-assembly and morphology-preserved carbonization.[7] Interestingly, it is found that the different orientation mode, vertical or horizontal, of polymer layers on the Cu surface will have a huge influence on heteroatom dopants and topological defects of derived carbon. The optimized NOCA@Cu delivers excellent performance with a high CE of 91–93% and long life up to 600 cycles in the carbonate electrolyte as well as 98.5% CE and stable cycling up to 1300 h in ether electrolyte, much better than horizontal carbon film-coated Cu and pristine Cu. On the other hand, aqueous zinc metal-based energy devices show great promise for large-scale energy storage due to the advantage of Zn metals including high theoretical capacity (gravimetric: 820 mAh g−1), suitable redox potential (−0.764 V vs. SHE), high safety, cost effectiveness, and eco-friendliness.[8] However, similar to Li metal, Zn metal also shows poor reversibility of deposition/dissolution.[9] This poor reversibility is mainly caused by the low CE and dendritic growth of Zn metal accompanied by side reactions from metal corrosion and hydrogen evolution due to water decomposition. [10] Hence, it is significant to develop dendrite-free Zn metal anodes with high CE for rechargeable devices, which unfortunately is still challenging as with Li metal anodes. Similar strategies have been proposed to tackle the issues, such as host construction,[11] interfacial protection,[12] and electrolyte engineering.[13] Despite the progress, most of reported Zn anode only experienced low depth of discharge (DOD, <1%),[14] which will considerably lower cell-level energy densities. As such, construction of Zn hosts, e.g., carbon-rich nanomaterials, to regulate the plating/stripping of Zn metal anode under high DOD is important to achieve high cell-level energy densities. As potential carbon hosts, 3D carbons with highly exposed surface area and hierarchically oriented building blocks could homogenize ionic flux, decrease local current densities, and guide Zn deposition in a unique way.[15] In this work, we firstly regulate heteroatom-doped 3D carbon host for high-DOD Zn metal chemistry, including Coulombic efficiency, deposition morphology, and full cell applications. DFT calculations reveal that among oxygen/nitrogen dopants the ether (C-O), carboxylic (-O-C=O-) and pyrrolic N groups show strong binding with Zn, making them favorable heterogeneous nucleation sites for zinc growth. Accordingly, monomers enriched with those O/N groups were rationally selected and corresponding polymers were prepared via controlled self-assembly and converted to carbon with different morphologies and sizes. Among carbon hosts, carbon flowers (Cflower) enable best performance with high CE values of 97~99% at current densities of 0.5~10 mA cm-2, surpassing other structured hosts. Reference [1] Chem. Rev. 2017, 117, 10403. [2] Nature 2019, 572, 511. [3] Carbon Energy 2021, 1. [4] Adv. Energy Mater. 2017, 7, 1602011. [5] ACS Nano 2017, 11, 6114. [6] Nat. Nanotechnol. 2014, 9, 618. [7] Adv. Funct. Mater. 2021, 31, 2102354. [8] Chem. Rev. 2020, 120, 7795. [9] Angew. Chem. Int. Ed. 2020, 59, 13180. [10] ACS Energy Lett. 2020, 5, 3569. [11] Adv. Mater. 2020, 32, 1906803. [12] Adv. Energy Mater. 2018, 8, 1801090. [13] Nat. Mater. 2018, 17, 543. [14] Adv. Mater. 2019, 0, 1900668. [15] Electrochem. Energ. Rev. 2021, 4, 269.
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Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».