MXene-Based Lithium-Ion Anodes: An Outlook on Computational Predictions and Experimental Validation

Abhinav Ernam, Eugenie Pranada, Bright Ngozichukwu, Abdoulaye Djire

Open source

DOI
10.1021/acs.energyfuels.6c02894
Published
2026-09-30
Container
Energy & Fuels
Publisher
American Chemical Society (ACS)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1021/acs.energyfuels.6c02894,
  title = {MXene-Based
Lithium-Ion Anodes: An Outlook on Computational
Predictions and Experimental Validation},
  author = {Abhinav Ernam and Eugenie Pranada and Bright Ngozichukwu and Abdoulaye Djire},
  year = {2026},
  journal = {Energy \& Fuels},
  doi = {10.1021/acs.energyfuels.6c02894},
  url = {https://doi.org/10.1021/acs.energyfuels.6c02894}
}

RIS

TY  - JOUR
TI  - MXene-Based
Lithium-Ion Anodes: An Outlook on Computational
Predictions and Experimental Validation
AU  - Abhinav Ernam
AU  - Eugenie Pranada
AU  - Bright Ngozichukwu
AU  - Abdoulaye Djire
PY  - 2026
JO  - Energy & Fuels
DO  - 10.1021/acs.energyfuels.6c02894
UR  - https://doi.org/10.1021/acs.energyfuels.6c02894
ER  - 

APA

Ernam, A., Pranada, E., Ngozichukwu, B., & Djire, A. (2026). MXene-Based Lithium-Ion Anodes: An Outlook on Computational Predictions and Experimental Validation. Energy & Fuels. https://doi.org/10.1021/acs.energyfuels.6c02894

Source records