Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and …

DD Nguyen, M Tanveer, HN Mai, TQD Pham, H Khan… - Fuel, 2023 - Elsevier
Membraneless microfluidic fuel cells (MMFCs) offer great potential for clean energy
production, but their expense and tedious optimization process have limited their wider use …

Deep learning–based optimization of a microfluidic membraneless fuel cell for maximum power density via data-driven three-dimensional multiphysics simulation

DD Nguyen, TQD Pham, M Tanveer, H Khan… - Bioresource …, 2022 - Elsevier
A deep learning–based method for optimizing a membraneless microfluidic fuel cell (MMFC)
performance by combining the artificial neural network (ANN) and genetic algorithm (GA) …

Computational modeling studies on microfluidic fuel cell: A prospective review

B Wu, X Xu, G Dong, M Zhang, S Luo… - … and Sustainable Energy …, 2024 - Elsevier
Microfluidic fuel cell (MFC) is a burgeoning category of micro fuel cell technology based on
laminar flow electrolytes. The merits of MFC, such as the absence of membrane electrolyte …

[HTML][HTML] Application of machine learning in optimizing proton exchange membrane fuel cells: a review

R Ding, S Zhang, Y Chen, Z Rui, K Hua, Y Wu, X Li… - Energy and AI, 2022 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) as energy conversion devices for
hydrogen energy are crucial for achieving an eco-friendly society, but their cost and …

[HTML][HTML] Flow configurations of membraneless microfluidic fuel cells: A review

M Tanveer, KY Kim - Energies, 2021 - mdpi.com
Membraneless microfluidic fuel cells (MMFCs) are being studied extensively as an
alternative to batteries and conventional membrane fuel cells because of their simple …

From waste to watts in micro-devices: review on development of membraned and membraneless microfluidic microbial fuel cell

S Goel - Applied Materials Today, 2018 - Elsevier
Evidently, the incessant interest to work on the ways to generate renewable and sustainable
energy, there is even deeper concern to work on was to harvest energy from waste …

A survey of applications of MFC and recent progress of artificial intelligence and machine learning techniques and applications, with competing fuel cells

A Gyaneshwar, SK Selvaraj, T Ghimire… - Engineering …, 2022 - iopscience.iop.org
Tomorrow is a technology for Microbial fuel cells (MFC). It has attracted numerous studies for
the continuous development of cell efficiency since the problem of the coming era can be …

Integration of various technology-based approaches for enhancing the performance of microbial fuel cell technology: A review

KA Dwivedi, SJ Huang, CT Wang - Chemosphere, 2022 - Elsevier
The conflict between climate change and growing global energy demand is an immense
sustainability challenge that requires noteworthy scientific and technological developments …

Machine learning implementation in membrane bioreactor systems: progress, challenges, and future perspectives: a review

Z Frontistis, G Lykogiannis, A Sarmpanis - Environments, 2023 - mdpi.com
This study offers a review of machine learning (ML) applications in membrane bioreactor
(MBR) systems, an emerging technology in advanced wastewater treatment. The review …

Statistical performance analysis and robust design of paper microfluidic membraneless fuel cell with pencil graphite electrodes

LT Rao, SK Dubey, A Javed… - Journal of …, 2020 - asmedigitalcollection.asme.org
Paper-based membraneless microfluidic fuel cell (PMMFC) has emerged as an alternative
to conventional fuel cells. Extraction of optimum energy yield from these PMMFCs requires …