Modelling Microbial Fuel Cells Using Lattice Boltzmann Methods
Author:
Funder
H2020 Future and Emerging Technologies
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/8929069/08352747.pdf?arnumber=8352747
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Integrating operating conditions to develop a neural network for predicting organics removal and power density in an earthen microbial fuel cell treating leachate;Biofuels;2022-09-11
2. Energy Generation from Bio-Waste using Normal and Chemical Decomposition Technique to Meet Power Demand in Urban Areas;2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC);2022-08-17
3. Neural Networks Predicting Microbial Fuel Cells Output for Soft Robotics Applications;Frontiers in Robotics and AI;2021-03-04
4. Simulation of microbial enhanced recycled aggregate preparation system based on artificial intelligence and embedded processor;Microprocessors and Microsystems;2021-02
5. Modelling the impact of operating mode and electron transfer mechanism in microbial fuel cells with two-species anodic biofilm;Biochemical Engineering Journal;2020-06
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