2019
DOI: 10.34133/2019/9490413
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2D Materials Based Optoelectronic Memory: Convergence of Electronic Memory and Optical Sensor

Abstract: The continuous development of electron devices towards the trend of “More than Moore” requires functional diversification that can collect data (sensors) and store (memories) and process (computing units) information. Considering the large occupation proportion of image data in both data center and edge devices, a device integration with optical sensing and data storage and processing is highly demanded for future energy-efficient and miniaturized electronic system. Two-dimensional (2D) materials and t… Show more

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Cited by 109 publications
(118 citation statements)
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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%
“…This could be due to traps with a very long lifetime or permanent changes in the channel. While PPC is not very useful for photodetection, it can prove to be beneficial for non-volatile optical memory devices [45].…”
Section: Persistent Photocurrent (Ppc)mentioning
confidence: 99%
“…Our findings suggest that molecular engineering of the seeding promoters may represent a viable tool in view of tailoring the physical properties of the MoS 2 monolayers for the development of nanoelectronic and photonic devices. [ 14–16 ]…”
Section: Introductionmentioning
confidence: 99%