# From Memory Traces to Surface Chemistry: Decoding REDOX Reactions Source: [From Memory Traces to Surface Chemistry: Decoding REDOX Reactions]() Collection index: [llms.txt]() Data updated: 2025-10-25T06:46:33.267Z Authors: Ana Luiza Costa Silva, Rafael Schio Wengenroth Silva, Lucas Augusto Mois\\'es, Adenilson Jos\\'e Chiquito, Marcio Peron Franco de Godoy, Fabian Hartmann, Victor Lopez-Richard Published: 2024-09-11T14:31:04.000Z ## Abstract Gas and moisture sensing devices leveraging the resistive switching effect in transition metal oxide memristors promise to revolutionize next-generation, nano-scaled, cost-effective, and environmentally sustainable sensor solutions. These sensors encode readouts in resistance state changes based on gas concentration, yet their nonlinear current-voltage characteristics offer richer dynamics, capturing detailed information about REDOX reactions and surface kinetics. Traditional vertical devices fail to fully exploit this complexity. This study demonstrates planar resistive switching devices, moving beyond the Butler-Volmer model. A systematic investigation of the electrochemical processes in Na-doped ZnO with lateral planar contacts reveals intricate patterns resulting from REDOX reactions on the device surface. When combined with advanced algorithms for pattern recognition, allow the analysis of complex switching patterns, including crossings, loop directions, and resistance values, providing unprecedented insights for next-generation complex sensors. ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. ## Original sources and implementation [Original paper]() [PDF]()