Solvent-Free Synthesis of Hollow Carbon Nanostructures for Efficient Sodium Storage

The structural characteristics of hollow carbon nanostructures (HCNs) result in intriguing physicochemical properties and various applications, especially for electrochemical energy storage applications. However, the currently solvent-based template methods to prepare HCNs are still far from meeting the facile, environment-friendly, and scalable demand. Herein, we explored a general and facile solvent-free block copolymer self-assembly approach to prepare various hollow hard carbon nanostructures, including hollow carbon nanofibers, hollow carbon Janus nanotadpoles, hollow carbon spheres, etc. It was found that the obtained HCNs possess abundant active sites, fast pathways for electrons/ions transport, and superior electronic conducting connectivity, which are promising for efficient electrochemical energy storage. Typically, the resultant hollow carbon nanofibers with a thick-walled tube deliver a high reversible capacity (431 mAh g-1) and excellent rate performance (259 mAh g-1 at 800 mA g-1) for sodium ion storage. This intelligent solvent-free block copolymer self-assembly method would inspire the design of hollow hard carbon-based nanostructures for advanced applications in various energy conversion and storage.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:17

Enthalten in:

ACS nano - 17(2023), 22 vom: 28. Nov., Seite 23152-23159

Sprache:

Englisch

Beteiligte Personen:

Feng, Shihao [VerfasserIn]
Li, Kun [VerfasserIn]
Hu, Ping [VerfasserIn]
Cai, Congcong [VerfasserIn]
Liu, Jinfeng [VerfasserIn]
Li, Xinyuan [VerfasserIn]
Zhou, Liang [VerfasserIn]
Mai, Liqiang [VerfasserIn]
Su, Bao-Lian [VerfasserIn]
Liu, Yong [VerfasserIn]

Links:

Volltext

Themen:

Block polymer
Hollow carbon nanostructures
Journal Article
Self-assembly
Sodium ion battery
Solvent-free method

Anmerkungen:

Date Revised 28.11.2023

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1021/acsnano.3c09328

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM364472138