Rational Design of Graphene Derivatives for Electrochemical Reduction of Nitrogen to Ammonia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27640%2F21%3A10248947" target="_blank" >RIV/61989100:27640/21:10248947 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/21:10248947 RIV/61989592:15640/21:73610653
Result on the web
<a href="https://pubs.acs.org/doi/10.1021/acsnano.1c08455" target="_blank" >https://pubs.acs.org/doi/10.1021/acsnano.1c08455</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1021/acsnano.1c08455" target="_blank" >10.1021/acsnano.1c08455</a>
Alternative languages
Result language
angličtina
Original language name
Rational Design of Graphene Derivatives for Electrochemical Reduction of Nitrogen to Ammonia
Original language description
The conversion of nitrogen to ammonia offers a sustainable and environmentally friendly approach for producing precursors for fertilizers and efficient energy carriers. Owing to the large energy density and significant gravimetric hydrogen content, NH3 is considered an apt next-generation energy carrier and liquid fuel. However, the low conversion efficiency and slow production of ammonia through the nitrogen reduction reaction (NRR) are currently bottlenecks, making it an unviable alternative to the traditional Haber-Bosch process for ammonia production. The rational design and engineering of catalysts (both photo- and electro-) represent a crucial challenge for improving the efficiency and exploiting the full capability of the NRR. In the present review, we highlight recent progress in the development of graphene-based systems and graphene derivatives as catalysts for the NRR. Initially, the history, fundamental mechanism, and importance of the NRR to produce ammonia are briefly discussed. We also outline how surface functionalization, defects, and hybrid structures (single-atom/multiatom as well as composites) affect the N2 conversion efficiency. The potential of graphene and graphene derivatives as NRR catalysts is highlighted using pertinent examples from theoretical simulations as well as machine learning based performance predictive methods. The review is concluded by identifying the crucial advantages, drawbacks, and challenges associated with principal scientific and technological breakthroughs in ambient catalytic NRR. (C) 2021 American Chemical Society.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10300 - Physical sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACS Nano
ISSN
1936-0851
e-ISSN
—
Volume of the periodical
15
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
24
Pages from-to
"17275 "- 17298
UT code for WoS article
000747115200016
EID of the result in the Scopus database
2-s2.0-85119412140