Integrating functionalized catalysts and machine learning to optimize microbial fuel cells for clean energy applications
Copper phthalocyanine and functionalized polyaniline boost the performance of microbial fuel cells. While machine learning predict the power density accurately predict the clean energy production.
Authors
- Mostafa Ghasemi (ORCID: https://orcid.org/0000-0002-1497-1591)
- Kh. Rostami (ORCID: https://orcid.org/0009-0004-1335-4032)
- Mehdi Sedighi (ORCID: https://orcid.org/0000-0003-2681-1357)
- Hamed Farahani
Institutions
- University of Electronic Science and Technology of China (CN)
- University of Qom (IR)
- University of Tehran (IR)
- Huzhou Normal University (CN)
- Sohar University (OM)
Publication Details
- Journal
- Sustainable Energy & Fuels
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5se00781j
- Citations
- 3
- Primary Topic
- Electrocatalysts for Energy Conversion
- Type
- article
- Field-Weighted Citation Impact
- 1.09