Harnessing machine learning to decode and optimize bioelectrochemical systems: Principles, progress and future directions
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Bioelectrochemical systems (BES) represent an interdisciplinary convergence of biology, electrochemistry, materials science, environmental engineering and mechanical engineering, offering transformative potential for renewable energy generation, wastewater tre... ...
