Machine learning–guided framework for accelerating bioelectrodechlorination. (IMAGE)
Caption
Machine learning–guided framework for accelerating bioelectrodechlorination. This schematic illustrates how machine learning models integrate operating conditions, microbial community data, and feature analysis to optimize bioelectrodechlorination. By combining predictive algorithms with bacterial biofilm insights, the framework identifies optimal experimental conditions and microbial compositions, enabling faster and more efficient degradation of chlorinated pollutants.
Credit
Environmental Science and Ecotechnology
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CC BY-NC-ND