Emerging 2D Materials for Green Ammonia Electrosynthesis: Integrating Experimental, Computation, and Machine Learning Strategies Toward Commercialization.
- DOI
- 10.1002/cssc.202502111
- Published
- 2026 May 27
- Container
- ChemSusChem
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/cssc.202502111,
title = {Emerging 2D Materials for Green Ammonia Electrosynthesis: Integrating Experimental, Computation, and Machine Learning Strategies Toward Commercialization.},
author = {Paul S and Maiti PS and Sahoo K and Keshari B and Dhar TK and Ghorai UK},
year = {2026},
journal = {ChemSusChem},
doi = {10.1002/cssc.202502111},
url = {https://doi.org/10.1002/cssc.202502111}
}RIS
TY - JOUR TI - Emerging 2D Materials for Green Ammonia Electrosynthesis: Integrating Experimental, Computation, and Machine Learning Strategies Toward Commercialization. AU - Paul S AU - Maiti PS AU - Sahoo K AU - Keshari B AU - Dhar TK AU - Ghorai UK PY - 2026 JO - ChemSusChem DO - 10.1002/cssc.202502111 UR - https://doi.org/10.1002/cssc.202502111 ER -
APA
S, P., PS, M., K, S., B, K., TK, D., & UK, G. (2026). Emerging 2D Materials for Green Ammonia Electrosynthesis: Integrating Experimental, Computation, and Machine Learning Strategies Toward Commercialization.. ChemSusChem. https://doi.org/10.1002/cssc.202502111
Source records
- pubmed · retrieved 2026-09-26T19:30:35.964Z