Work

Machine learning driven optimization of an innovative microbial fuel cell performance: A holistic approach integrating electrochemical, thermodynamic and biological parameters

Year: 2026

Type: article

Source: Energy Conversion and Management

DOI: 10.1016/j.enconman.2026.121197

Authors: Mohammad Hossein Sabouri, Mohammad Hasan Khoshgoftar Manesh, Seyed Alireza Mousavi Rabeti

Institution: University of Qom

Language: English

Topic: Microbial Fuel Cells and Bioremediation

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Clean water and sanitation, Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7128805290

FWCI: 8.015

Cites: 41

Cited by: 5

Related to: 10