Combining the Converse Humidity/Resistance Response Behaviors of RGO Films for Flexible Logic Devices

Yanlong Tai, Tushar Kanti Bera, Gilles Lubineau, Zhen-Guo Yang

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Carbon nanomaterials have excellent humidity sensing performance. Here, we demonstrate that reduced-graphene-oxide- (rGO) based conductive films with different thermal reduction times have gradient and invertible humidity/electrical resistance responses: rGO films (< 11 h, negative response, regarded as a signal of “0”), rGO films (around 11-13 h, balance point) and rGO films (> 13 h, negative response, regarded as a signal of “1”). We propose a new mechanism that describes a “scale”-like model for rGO films to explain these behaviors based on contributions from Ohm-contact resistance and capacitive reactance at interplate junctions, and intrinsic resistances of the nanoplates, respectively. This mechanism is accordingly validated via a series of experiments and electrical impedance spectroscopies, which complement more classical models based on proton conductivity. To explore the practical applications of the converse humidity/resistance responses, three simple flexible logic devices were developed, i) a rGO pattern for humidity-insensitive conductive film, which has the potential to greatly improve the stability of carbon-based electrical device to humidity; ii) a Janus pattern of rGO films for gesture recognition, which is very useful to human/machine interactions; iii) a sandwich pattern of rGO films for 3-dimensional (3D) noncontact sensing, which will be complementary to existing 3D touch technique.
Original languageEnglish (US)
Pages (from-to)3848-3854
Number of pages7
JournalJ. Mater. Chem. C
Issue number15
StatePublished - 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We express gratitude to the key discipline fund of Shanghai (B117) for financial support and AKM Industrial Ltd for helpful discussions. This work was also partially supported by Baseline Funding from King Abdullah University of Science and Technology (KAUST).


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