Enflurane Additive for Sodium Negative Electrodes-Reference-Cited by-同舟云学术

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Enflurane Additive for Sodium Negative Electrodes

Published:2022-08-05 Issue:32 Volume:14 Page:36551-36556
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Akkisetty Bhaskar¹,Dimogiannis Konstantinos¹^ORCID,Searle Joanne¹,Rogers David²^ORCID,Newton Graham N.¹³^ORCID,Johnson Lee R.¹³^ORCID

Affiliation:

1. Nottingham Applied Materials and Interfaces Group, School of Chemistry, University of Nottingham, Nottingham NG7 2TU, U.K.

2. School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, U.K.

3. The Faraday Institution, Quad One, Harwell Science and Innovation Campus, Didcot OX11 0RA, U.K.

Funder

Engineering and Physical Sciences Research Council

University of Nottingham

Faraday Institution

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.2c06502

Reference42 articles.

1. Sodium-based batteries: from critical materials to battery systems

2. Sodium-ion battery anodes: Status and future trends

3. Correlation of Structure and Performance of Hard Carbons as Anodes for Sodium Ion Batteries

4. Extended “Adsorption–Insertion” Model: A New Insight into the Sodium Storage Mechanism of Hard Carbons

5. High capacity hard carbon anodes for sodium ion batteries in additive free electrolyte

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1. Challenges and industrial perspectives on the development of sodium ion batteries;Nano Energy;2024-10

2. Functional Electrolyte Additives for Sodium‐Ion and Sodium‐Metal Batteries: Progress and Perspectives;Advanced Functional Materials;2024-04-12

3. Unraveling the underlying mechanism of good electrochemical performance of hard carbon in PC/EC–Based electrolyte;Journal of Colloid and Interface Science;2024-03

4. Na metal anodes for liquid and solid-state Na batteries;Energy & Environmental Science;2024

5. Metal-solvent interaction contribution on voltage for metal ion battery: An interpretable machine learning approach;Electrochimica Acta;2023-11

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