Computational prediction of Mo2@g-C6N6 monolayer as an efficient electrocatalyst for N2 reduction-Reference-Cited by-同舟云学术

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Computational prediction of Mo2@g-C6N6 monolayer as an efficient electrocatalyst for N2 reduction

Published:2021-12 Issue: Volume: Page:
ISSN:1001-8417
Container-title:Chinese Chemical Letters
language:en
Short-container-title:Chinese Chemical Letters

Author:

Wang Jiajun,Shi Mengyao,Yi Guolin,Wang Lu,Lei Shulai^ORCID,Xu Ke,Li Shujuan^ORCID,Mu Jianshuai

Publisher

Elsevier BV

Subject

General Chemistry

Reference72 articles.

1. Progress and Prospective of Nitrogen-Based Alternative Fuels

2. First-principles calculations of stability of graphene-like BC3 monolayer and its high-performance potassium storage

3. 2020 Roadmap on gas-involved photo- and electro- catalysis

4. 2021 Roadmap: electrocatalysts for green catalytic processes

5. Double‐hole‐mediated coupling of anionic dopants in perovskite NaNbO 3 for efficient solar water splitting

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4. Controllable Construction of a Mo₂C/MoO₂ Interface with an Ideal Mo₂C/MoO₂ Ratio for Efficient Electrocatalytic Nitrogen Reduction to Ammonia;ACS Applied Materials & Interfaces;2024-06-13

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