The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Fully Printed Flexible MoS2 Memristive Artificial Synapse with Femtojoule Switching Energy
Open accessAbstract
Realization of memristors capable of storing and processing data on flexible substrates is a key enabling technology toward “system‐on‐plastics”. Recent advancements in printing techniques show enormous potential to overcome the major challenges of the current manufacturing processes that require high temperature and planar topography, which may radically change the system integration approach on flexible substrates. However, fully printed memristors are yet to be successfully demonstrated due to the lack of a robust printable switching medium and a reliable printing process. An aerosol‐jet‐printed Ag/MoS 2/Ag memristor is realized in a cross‐bar structure by developing a scalable and low temperature printing technique utilizing a functional molybdenum disulfide (MoS 2) ink platform. The fully printed devices exhibit an ultra‐low switching voltage (0.18 V), a high switching ratio (10 7), a wide range of tuneable resistance states (10–10 10 Ω) for multi‐bit data storage, and a low standby power consumption of 1 fW and a switching energy of 4.5 fJ per transition set. Moreover, the MoS 2 memristor exhibits both volatile and non‐volatile resistive switching behavior by controlling the current compliance levels, which efficiently mimic the short‐term and long‐term plasticity of biological synapses, demonstrating its potential to enable energy‐efficient artificial neuromorphic computing.
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Cites
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Wang, Z., Joshi, S., Savel’ev, S. E., Jiang, H., Midya, R., Lin, P., Hu, M., Ge, N., Strachan, J. P., Li, Z., et al. (2017) · Nature Materials · doi:10.1038/nmat4756 · Cited by 2,358
In-memory computing with resistive switching devices
Ielmini, D., & Wong, H.-S. P. (2018) · Nature Electronics · doi:10.1038/s41928-018-0092-2 · Cited by 2,298
Memristive crossbar arrays for brain-inspired computing
Xia, Q., & Yang, J. J. (2019) · Nature Materials · doi:10.1038/s41563-019-0291-x · Cited by 1,800
Soft Microfluidic Assemblies of Sensors, Circuits, and Radios for the Skin
Xu, S., Zhang, Y., Jia, L., Mathewson, K. E., Jang, K.-I., Kim, J., Fu, H., Huang, X., Chava, P., Wang, R., et al. (2014) · Science · doi:10.1126/science.1250169 · Cited by 1,199
Self-citationFully memristive neural networks for pattern classification with unsupervised learning
Wang, Z., Joshi, S., Savel’ev, S., Song, W., Midya, R., Li, Y., Rao, M., Yan, P., Asapu, S., Zhuo, Y., et al. (2018) · Nature Electronics · doi:10.1038/s41928-018-0023-2 · Cited by 1,106
Self-citationCalcium Channel Regulation and Presynaptic Plasticity
Catterall, W. A., & Few, A. P. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.005 · Cited by 647
Cited by
Wang, M., Luo, Y., Wang, T., Wan, C., Pan, L., Pan, S., He, K., Neo, A., & Chen, X. (2021) · Advanced Materials · doi:10.1002/adma.202003014 · Cited by 451
2D Material Based Synaptic Devices for Neuromorphic Computing
Cao, G., Meng, P., Chen, J., Liu, H., Bian, R., Zhu, C., Liu, F., & Liu, Z. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202005443 · Cited by 382
Neuro-inspired electronic skin for robots
Liu, F., Deswal, S., Christou, A., Sandamirskaya, Y., Kaboli, M., & Dahiya, R. (2022) · Science Robotics · doi:10.1126/scirobotics.abl7344 · Cited by 300
Hardware Implementation of Neuromorphic Computing Using Large‐Scale Memristor Crossbar Arrays
Li, Y., & Ang, K.-W. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202000137 · Cited by 220
Self-citationMemristive Crossbar Arrays for Storage and Computing Applications
Li, H., Wang, S., Zhang, X., Wang, W., Yang, R., Sun, Z., Feng, W., Lin, P., Wang, Z., Sun, L., et al. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202100017 · Cited by 205
Metadata
- Authors
- Feng, X., Li, Y., Wang, L., Chen, S., Yu, Z. G., Tan, W. C., Macadam, N., Hu, G., Huang, L., Chen, L., Gong, X., Chi, D., Hasan, T., Thean, A. V., Zhang, Y., & Ang, K.
- Venue
- Advanced Electronic Materials
- Publisher
- Wiley
- Published
- 2019-09-19
- Volume
- 5
- Issue
- 12
- ISSN
- 2199-160X (ISSN-L)
- OpenAlex
- W2974613647
- Cited by
- 220
- References
- 6
- FWCI
- 7.93
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Feng, X., Li, Y., Wang, L., Chen, S., Yu, Z. G., Tan, W. C., Macadam, N., Hu, G., Huang, L., Chen, L., Gong, X., Chi, D., Hasan, T., Thean, A. V., Zhang, Y., & Ang, K. (2019). A Fully Printed Flexible MoS2 Memristive Artificial Synapse with Femtojoule Switching Energy. Advanced Electronic Materials. https://doi.org/10.1002/aelm.201900740
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