A three-dimensional agent-based model of microbial growth and electrochemical dynamics in a microbial Fuel cell
This record contains a preprint manuscript titled “3 dimensional GPU-accelerated agent-based modeling of microbial fuel cell dynamics.” The study presents a 3d GPU-accelerated agent-based modeling framework for simulating microbial fuel cell behavior at individual-cell resolution. The framework represents microbial cells as discrete agents in a three-dimensional physicochemical environment and couples agent-level substrate response, pH dependence, biofilm formation, extracellular electron-transfer assumptions, reaction–diffusion transport, and lumped electrochemical voltage calculation. This preprint is intended as a computational framework and proof-of-concept model for future extensions.
Authors
- Paras Chaudhary (ORCID: https://orcid.org/0009-0004-9753-0469)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-23
- DOI
- https://doi.org/10.5281/zenodo.21238422
- Primary Topic
- Microbial Fuel Cells and Bioremediation
- Type
- preprint