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Bioinspired mechano-photonic artificial synapse based on graphene/MoS 2 heterostructure
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A bioinspired mechano-photonic artificial synapse with synergistic mechanical and optical plasticity is demonstrated.
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Cites
Anomalous Lattice Vibrations of Single- and Few-Layer MoS2
Lee, C., Yan, H., Brus, L. E., Heinz, T. F., Hone, J., & Ryu, S. (2010) · ACS Nano · doi:10.1021/nn1003937 · Cited by 4,859
From Bulk to Monolayer MoS2: Evolution of Raman Scattering
Li, H., Zhang, Q., Yap, C. C. R., Tay, B. K., Edwin, T. H. T., Olivier, A., & Baillargeat, D. (2012) · Advanced Functional Materials · doi:10.1002/adfm.201102111 · Cited by 4,249
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., & Strukov, D. B. (2015) · Nature · doi:10.1038/nature14441 · Cited by 3,001
Atomically thin p–n junctions with van der Waals heterointerfaces
Lee, C.-H., Lee, G.-H., van der Zande, A. M., Chen, W., Li, Y., Han, M., Cui, X., Arefe, G., Nuckolls, C., Heinz, T. F., et al. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.150 · Cited by 2,303
On Maxwell's displacement current for energy and sensors: the origin of nanogenerators
Wang, Z. L. (2017) · Materials Today · doi:10.1016/j.mattod.2016.12.001 · Cited by 2,083
Self-citationFan, F.-R., Lin, L., Zhu, G., Wu, W., Zhang, R., & Wang, Z. L. (2012) · Nano Letters · doi:10.1021/nl300988z · Cited by 1,985
Self-citationShort-term plasticity and long-term potentiation mimicked in single inorganic synapses
Ohno, T., Hasegawa, T., Tsuruoka, T., Terabe, K., Gimzewski, J. K., & Aono, M. (2011) · Nature Materials · doi:10.1038/nmat3054 · Cited by 1,793
Abbott, L. F., & Regehr, W. G. (2004) · Nature · doi:10.1038/nature03010 · Cited by 1,684
A bioinspired flexible organic artificial afferent nerve
Kim, Y., Chortos, A., Xu, W., Liu, Y., Oh, J. Y., Son, D., Kang, J., Foudeh, A. M., Zhu, C., Lee, Y., et al. (2018) · Science · doi:10.1126/science.aao0098 · Cited by 1,466
Graphene–MoS2 hybrid structures for multifunctional photoresponsive memory devices
Roy, K., Padmanabhan, M., Goswami, S., Sai, T. P., Ramalingam, G., Raghavan, S., & Ghosh, A. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2013.206 · Cited by 1,436
Optoelectronic resistive random access memory for neuromorphic vision sensors
Zhou, F., Zhou, Z., Chen, J., Choy, T. H., Wang, J., Zhang, N., Lin, Z., Yu, S., Kang, J., Wong, H.-S. P., et al. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0501-3 · Cited by 1,322
Ultrafast machine vision with 2D material neural network image sensors
Mennel, L., Symonowicz, J., Wachter, S., Polyushkin, D. K., Molina-Mendoza, A. J., & Mueller, T. (2020) · Nature · doi:10.1038/s41586-020-2038-x · Cited by 1,167
Neuromorphic nanoelectronic materials
Sangwan, V. K., & Hersam, M. C. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0647-z · Cited by 890
Artificial synapse network on inorganic proton conductor for neuromorphic systems
Zhu, L. Q., Wan, C. J., Guo, L. Q., Shi, Y., & Wan, Q. (2014) · Nature Communications · doi:10.1038/ncomms4158 · Cited by 849
A biomimetic eye with a hemispherical perovskite nanowire array retina
Gu, L., Poddar, S., Lin, Y., Long, Z., Zhang, D., Zhang, Q., Shu, L., Qiu, X., Kam, M., Javey, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2285-x · Cited by 773
Raman Studies of Monolayer Graphene: The Substrate Effect
Wang, Y. Y., Ni, Z. H., Yu, T., Shen, Z. X., Wang, H. M., Wu, Y. H., Chen, W., & Shen Wee, A. T. (2008) · The Journal of Physical Chemistry C · doi:10.1021/jp8008404 · Cited by 756
Self-citationArtificial optic-neural synapse for colored and color-mixed pattern recognition
Seo, S., Jo, S.-H., Kim, S., Shim, J., Oh, S., Kim, J.-H., Heo, K., Choi, J.-W., Choi, C., Oh, S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07572-5 · Cited by 731
Choi, S., Tan, S. H., Li, Z., Kim, Y., Choi, C., Chen, P.-Y., Yeon, H., Yu, S., & Kim, J. (2018) · Nature Materials · doi:10.1038/s41563-017-0001-5 · Cited by 690
Recent Advances in Transistor‐Based Artificial Synapses
Dai, S., Zhao, Y., Wang, Y., Zhang, J., Fang, L., Jin, S., Shao, Y., & Huang, J. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201903700 · Cited by 671
Self-citationCheng, Z., Ríos, C., Pernice, W. H. P., Wright, C. D., & Bhaskaran, H. (2017) · Science Advances · doi:10.1126/sciadv.1700160 · Cited by 599
Organic core-sheath nanowire artificial synapses with femtojoule energy consumption
Xu, W., Min, S.-Y., Hwang, H., & Lee, T.-W. (2016) · Science Advances · doi:10.1126/sciadv.1501326 · Cited by 570
Lee, M., Lee, W., Choi, S., Jo, J., Kim, J., Park, S. K., & Kim, Y. (2017) · Advanced Materials · doi:10.1002/adma.201700951 · Cited by 567
Wang, M., Yan, Z., Wang, T., Cai, P., Gao, S., Zeng, Y., Wan, C., Wang, H., Pan, L., Yu, J., et al. (2020) · Nature Electronics · doi:10.1038/s41928-020-0422-z · Cited by 560
Self-citationStretchable organic optoelectronic sensorimotor synapse
Lee, Y., Oh, J. Y., Xu, W., Kim, O., Kim, T. R., Kang, J., Kim, Y., Son, D., Tok, J. B.-H., Park, M. J., et al. (2018) · Science Advances · doi:10.1126/sciadv.aat7387 · Cited by 534
Ion Gated Synaptic Transistors Based on 2D van der Waals Crystals with Tunable Diffusive Dynamics
Zhu, J., Yang, Y., Jia, R., Liang, Z., Zhu, W., Rehman, Z. U., Bao, L., Zhang, X., Cai, Y., Song, L., et al. (2018) · Advanced Materials · doi:10.1002/adma.201800195 · Cited by 499
Mimicking Human and Biological Skins for Multifunctional Skin Electronics
Lee, Y., Park, J., Choe, A., Cho, S., Kim, J., & Ko, H. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201904523 · Cited by 465
Wang, H., Zhao, Q., Ni, Z., Li, Q., Liu, H., Yang, Y., Wang, L., Ran, Y., Guo, Y., Hu, W., et al. (2018) · Advanced Materials · doi:10.1002/adma.201803961 · Cited by 443
Optoelectronic Synapse Based on IGZO‐Alkylated Graphene Oxide Hybrid Structure
Sun, J., Oh, S., Choi, Y., Seo, S., Oh, M. J., Lee, M., Lee, W. B., Yoo, P. J., Cho, J. H., & Park, J. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201804397 · Cited by 402
Retina‐Inspired Carbon Nitride‐Based Photonic Synapses for Selective Detection of UV Light
Park, H., Kim, H., Lim, D., Zhou, H., Kim, Y., Lee, Y., Park, S., & Lee, T. (2020) · Advanced Materials · doi:10.1002/adma.201906899 · Cited by 399
Recent Progress in Three‐Terminal Artificial Synapses: From Device to System
Han, H., Yu, H., Wei, H., Gong, J., & Xu, W. (2019) · Small · doi:10.1002/smll.201900695 · Cited by 348
High Responsivity and Gate Tunable Graphene‐MoS2 Hybrid Phototransistor
Xu, H., Wu, J., Feng, Q., Mao, N., Wang, C., & Zhang, J. (2014) · Small · doi:10.1002/smll.201303670 · Cited by 344
High Responsivity, Large-Area Graphene/MoS2 Flexible Photodetectors
De Fazio, D., Goykhman, I., Yoon, D., Bruna, M., Eiden, A., Milana, S., Sassi, U., Barbone, M., Dumcenco, D., Marinov, K., et al. (2016) · ACS Nano · doi:10.1021/acsnano.6b05109 · Cited by 339
Kim, S., Choi, B., Lim, M., Yoon, J., Lee, J., Kim, H.-D., & Choi, S.-J. (2017) · ACS Nano · doi:10.1021/acsnano.6b07894 · Cited by 338
Bioinspired Electronics for Artificial Sensory Systems
Jung, Y. H., Park, B., Kim, J. U., & Kim, T. (2019) · Advanced Materials · doi:10.1002/adma.201803637 · Cited by 336
Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems
Shim, H., Sim, K., Ershad, F., Yang, P., Thukral, A., Rao, Z., Kim, H.-J., Liu, Y., Wang, X., Gu, G., et al. (2019) · Science Advances · doi:10.1126/sciadv.aax4961 · Cited by 310
Two-dimensional multibit optoelectronic memory with broadband spectrum distinction
Xiang, D., Liu, T., Xu, J., Tan, J. Y., Hu, Z., Lei, B., Zheng, Y., Wu, J., Neto, A. H. C., Liu, L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05397-w · Cited by 291
Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves
Tan, H., Tao, Q., Pande, I., Majumdar, S., Liu, F., Zhou, Y., Persson, P. O. Å., Rosen, J., & van Dijken, S. (2020) · Nature Communications · doi:10.1038/s41467-020-15105-2 · Cited by 257
Two‐Terminal Multibit Optical Memory via van der Waals Heterostructure
Tran, M. D., Kim, H., Kim, J. S., Doan, M. H., Chau, T. K., Vu, Q. A., Kim, J., & Lee, Y. H. (2019) · Advanced Materials · doi:10.1002/adma.201807075 · Cited by 242
Broadband optoelectronic synaptic devices based on silicon nanocrystals for neuromorphic computing
Tan, H., Ni, Z., Peng, W., Du, S., Liu, X., Zhao, S., Li, W., Ye, Z., Xu, M., Xu, Y., et al. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.08.018 · Cited by 234
Recent Progress in Photonic Synapses for Neuromorphic Systems
Zhang, J., Dai, S., Zhao, Y., Zhang, J., & Huang, J. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.201900136 · Cited by 233
Nonvolatile infrared memory in MoS 2 /PbS van der Waals heterostructures
Wang, Q., Wen, Y., Cai, K., Cheng, R., Yin, L., Zhang, Y., Li, J., Wang, Z., Wang, F., Wang, F., et al. (2018) · Science Advances · doi:10.1126/sciadv.aap7916 · Cited by 223
Self-citationPiezotronic Graphene Artificial Sensory Synapse
Chen, Y., Gao, G., Zhao, J., Zhang, H., Yu, J., Yang, X., Zhang, Q., Zhang, W., Xu, S., Sun, J., et al. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201900959 · Cited by 220
Self-citationGraphene Hybrid Structures for Integrated and Flexible Optoelectronics
Chen, X., Shehzad, K., Gao, L., Long, M., Guo, H., Qin, S., Wang, X., Wang, F., Shi, Y., Hu, W., et al. (2020) · Advanced Materials · doi:10.1002/adma.201902039 · Cited by 211
Mechanoplastic Tribotronic Floating‐Gate Neuromorphic Transistor
Yang, X., Yu, J., Zhao, J., Chen, Y., Gao, G., Wang, Y., Sun, Q., & Wang, Z. L. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202002506 · Cited by 179
Self-citationSelf-powered artificial synapses actuated by triboelectric nanogenerator
Liu, Y., Zhong, J., Li, E., Yang, H., Wang, X., Lai, D., Chen, H., & Guo, T. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.03.079 · Cited by 176
Contact Electrification Field-Effect Transistor
Zhang, C., Tang, W., Zhang, L., Han, C., & Wang, Z. L. (2014) · ACS Nano · doi:10.1021/nn5039806 · Cited by 152
Self-citationTunable Tribotronic Dual‐Gate Logic Devices Based on 2D MoS2 and Black Phosphorus
Gao, G., Wan, B., Liu, X., Sun, Q., Yang, X., Wang, L., Pan, C., & Wang, Z. L. (2018) · Advanced Materials · doi:10.1002/adma.201705088 · Cited by 130
Self-citationTriboiontronic Transistor of MoS2
Gao, G., Yu, J., Yang, X., Pang, Y., Zhao, J., Pan, C., Sun, Q., & Wang, Z. L. (2018) · Advanced Materials · doi:10.1002/adma.201806905 · Cited by 126
Self-citationMechanosensation-Active Matrix Based on Direct-Contact Tribotronic Planar Graphene Transistor Array
Meng, Y., Zhao, J., Yang, X., Zhao, C., Qin, S., Cho, J. H., Zhang, C., Sun, Q., & Wang, Z. L. (2018) · ACS Nano · doi:10.1021/acsnano.8b04490 · Cited by 82
Self-citationElectric and Light Dual-Gate Tunable MoS2 Memtransistor
Yin, S., Song, C., Sun, Y., Qiao, L., Wang, B., Sun, Y., Liu, K., Pan, F., & Zhang, X. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b14259 · Cited by 76
Ion Gel Capacitively Coupled Tribotronic Gating for Multiparameter Distance Sensing
Zhang, H., Yu, J., Yang, X., Gao, G., Qin, S., Sun, J., Ding, M., Jia, C., Sun, Q., & Wang, Z. L. (2020) · ACS Nano · doi:10.1021/acsnano.9b09549 · Cited by 76
Self-citationBerco, D., & Ang, D. S. (2019) · Advanced Intelligent Systems · doi:10.1002/aisy.201900003 · Cited by 57
Piezo/Tribotronics Toward Smart Flexible Sensors
Yu, J., Yang, X., & Sun, Q. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.201900175 · Cited by 50
Self-citationTwo artificial synapses are better than one
Adam, G. C. (2018) · Nature · doi:10.1038/d41586-018-05297-5 · Cited by 7
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Metadata
- Authors
- Yu, J., Yang, X., Gao, G., Xiong, Y., Wang, Y., Han, J., Chen, Y., Zhang, H., Sun, Q., & Wang, Z. L.
- Venue
- Science Advances
- Published
- 2021-03-19
- Volume
- 7
- Issue
- 12
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W3138947164
- Cited by
- 389
- References
- 54
- FWCI
- 17.93
- Type
- journal article
- Language
- en
- Open access
- gold
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