From Memory Traces to Surface Chemistry: Decoding REDOX Reactions

Fuente: arXiv
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Main Authors: Silva, Ana Luiza Costa, Silva, Rafael Schio Wengenroth, Moisés, Lucas Augusto, Chiquito, Adenilson José, de Godoy, Marcio Peron Franco, Hartmann, Fabian, Lopez-Richard, Victor
Format: Preprint
Published: 2024
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author Silva, Ana Luiza Costa
Silva, Rafael Schio Wengenroth
Moisés, Lucas Augusto
Chiquito, Adenilson José
de Godoy, Marcio Peron Franco
Hartmann, Fabian
Lopez-Richard, Victor
author_facet Silva, Ana Luiza Costa
Silva, Rafael Schio Wengenroth
Moisés, Lucas Augusto
Chiquito, Adenilson José
de Godoy, Marcio Peron Franco
Hartmann, Fabian
Lopez-Richard, Victor
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_07299
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle From Memory Traces to Surface Chemistry: Decoding REDOX Reactions
Silva, Ana Luiza Costa
Silva, Rafael Schio Wengenroth
Moisés, Lucas Augusto
Chiquito, Adenilson José
de Godoy, Marcio Peron Franco
Hartmann, Fabian
Lopez-Richard, Victor
Applied Physics
Chemical Physics
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.
title From Memory Traces to Surface Chemistry: Decoding REDOX Reactions
topic Applied Physics
Chemical Physics
url https://arxiv.org/abs/2409.07299