2019
DOI: 10.1021/acsami.8b19817
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Fully Inkjet-Printed, Mechanically Flexible MoS2 Nanosheet Photodetectors

Abstract: Solution-processed two-dimensional materials offer a scalable route toward next-generation printed devices. In this report, we demonstrate fully inkjet-printed photodetectors using molybdenum disulfide (MoS2) nanosheets as the active material and graphene as the electrodes. Percolating films of semiconducting MoS2 with high electrical conductivity are achieved with an ethyl cellulose-based ink formulation. Two classes of photodetectors are fabricated, including thermally annealed devices on glass with fast pho… Show more

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Cited by 115 publications
(129 citation statements)
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References 33 publications
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“…[1][2][3] Having direct bandgaps, these atomically thin materials are suitable for electronic and optoelectronic works, with their stacks into various heterostructures promising a wealth of engineered electronic and optoelectronic properties. [3][4][5][6][7][8] While single transistors and photodetectors built from 2D materials have already garnered significant research interest, [9][10][11][12] recent advances in large-area synthesis of TMD monolayers have opened up an exciting possibility to integrate a large number power budget of the otherwise enormously successful digital neural net paradigm. At the same time, various material systems, including organics and perovskites, have been employed to develop front-end in-memory image sensors, [30][31][32][33][34] so far integrating up to 100 pixels.…”
Section: Doi: 101002/adma202002431mentioning
confidence: 99%
“…[1][2][3] Having direct bandgaps, these atomically thin materials are suitable for electronic and optoelectronic works, with their stacks into various heterostructures promising a wealth of engineered electronic and optoelectronic properties. [3][4][5][6][7][8] While single transistors and photodetectors built from 2D materials have already garnered significant research interest, [9][10][11][12] recent advances in large-area synthesis of TMD monolayers have opened up an exciting possibility to integrate a large number power budget of the otherwise enormously successful digital neural net paradigm. At the same time, various material systems, including organics and perovskites, have been employed to develop front-end in-memory image sensors, [30][31][32][33][34] so far integrating up to 100 pixels.…”
Section: Doi: 101002/adma202002431mentioning
confidence: 99%
“…To the best of our knowledge, none of the p-n heterojunction-based NDR or NTC devices have been realized by inkjet printing, which is considered to be a scalable and low-cost method for device fabrication. Inkjet printing has already demonstrated great potential in various electronic devices [23][24][25][26][27][28][29][30] that we expand further with this work. To form p-n heterojunctions by inkjet printing, proper nand p-type semiconductors, which are inkjet printable and compatible to each other, should be employed.…”
mentioning
confidence: 88%
“…As one of most representative and competitive graphene-based materials, GO received considerable attention in the industry of large-area flexible electronic devices due to its promising potential for next-generation information storage [156][157][158][159][160][161][162][163]. GO can be dispersed in a variety of solvents, which permits compatible processes with a wide range of commercially available flexible substrates.…”
Section: Application Of Graphene-based Memristors In Flexible Electromentioning
confidence: 99%
“…GO can be dispersed in a variety of solvents, which permits compatible processes with a wide range of commercially available flexible substrates. With various technologies like spin coating [164][165][166], drop casting [167][168][169], dip coating [170][171][172], and inkjet printing [157,173,174], GO dielectric layers can be deposited onto flexible substrates like polyethylene terephthalate (PET), polyether sulfone (PES), and polyimide [175][176][177][178][179][180]. In addition, the thickness of a single atomic layer and the excellent dispersibility in various solvents result in GO having enhanced compatibility with different commercial substrates [181][182][183].…”
Section: Application Of Graphene-based Memristors In Flexible Electromentioning
confidence: 99%