Xia, Qiangfei

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

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 2,358

Memristive crossbar arrays for brain-inspired computing

Xia, Q., & Yang, J. J. (2019) · Nature Materials

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 1,800

Analogue signal and image processing with large memristor crossbars

Li, C., Hu, M., Li, Y., Jiang, H., Ge, N., Montgomery, E., Zhang, J., Song, W., Dávila, N., Graves, C. E., et al. (2017) · Nature Electronics

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 1,292

Resistive switching materials for information processing

Wang, Z., Wu, H., Burr, G. W., Hwang, C. S., Wang, K. L., Xia, Q., & Yang, J. J. (2020) · Nature Reviews Materials

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 1,214

Fully 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

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 1,106

Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

Li, C., Belkin, D., Li, Y., Yan, P., Hu, M., Ge, N., Jiang, H., Montgomery, E., Lin, P., Wang, Z., et al. (2018) · Nature Communications

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 931

Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine

Hu, M., Graves, C. E., Li, C., Li, Y., Ge, N., Montgomery, E., Davila, N., Jiang, H., Williams, R. S., Yang, J. J., et al. (2018) · Advanced Materials

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 751

Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic

Xia, Q., Robinett, W., Cumbie, M. W., Banerjee, N., Cardinali, T. J., Yang, J. J., Wu, W., Li, X., Tong, W. M., Strukov, D. B., et al. (2009) · Nano Letters

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 671

Thousands of conductance levels in memristors monolithically integrated on CMOS

Yang, J., Rao, M., Tang, H., Wu, J.-B., Song, W., Zhang, M., Yin, W., Zhuo, Y., Kiani, F., Chen, B., et al. (2022) · Nature

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 504

A novel true random number generator based on a stochastic diffusive memristor

Jiang, H., Belkin, D., Savel’ev, S. E., Lin, S., Wang, Z., Li, Y., Joshi, S., Midya, R., Li, C., Rao, M., et al. (2017) · Nature Communications

Advanced Memory and Neural ComputingPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 459

Long short-term memory networks in memristor crossbar arrays

Li, C., Wang, Z., Rao, M., Belkin, D., Song, W., Jiang, H., Yan, P., Li, Y., Lin, P., Hu, M., et al. (2019) · Nature Machine Intelligence

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 429

Three-dimensional memristor circuits as complex neural networks

Lin, P., Li, C., Wang, Z., Li, Y., Jiang, H., Song, W., Rao, M., Zhuo, Y., Upadhyay, N. K., Barnell, M., et al. (2020) · Nature Electronics

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 375

In situ training of feed-forward and recurrent convolutional memristor networks

Wang, Z., Li, C., Lin, P., Rao, M., Nie, Y., Song, W., Qiu, Q., Li, Y., Yan, P., Strachan, J. P., et al. (2019) · Nature Machine Intelligence

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 307

Reservoir Computing Using Diffusive Memristors

Midya, R., Wang, Z., Asapu, S., Zhang, X., Rao, M., Song, W., Zhuo, Y., Upadhyay, N., Xia, Q., & Yang, J. J. (2019) · Advanced Intelligent Systems

Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing

Cited by 279

Three-dimensional crossbar arrays of self-rectifying Si/SiO2/Si memristors

Li, C., Han, L., Jiang, H., Jang, M.-H., Lin, P., Wu, Q., Barnell, M., Yang, J. J., Xin, H. L., & Xia, Q. (2017) · Nature Communications

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 229

A fully hardware-based memristive multilayer neural network

Kiani, F., Yin, J., Wang, Z., Yang, J. J., & Xia, Q. (2021) · Science Advances

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 97

Truly Electroforming‐Free and Low‐Energy Memristors with Preconditioned Conductive Tunneling Paths

Yoon, J. H., Zhang, J., Ren, X., Wang, Z., Wu, H., Li, Z., Barnell, M., Wu, Q., Lauhon, L. J., Xia, Q., et al. (2017) · Advanced Functional Materials

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 95

MERRC: A Memristor-Enabled Reconfigurable Low-Power Reservoir Computing Architecture at the Edge

Nowshin, F., Huang, Y., Sarkar, M. R., Xia, Q., & Yi, Y. (2024) · IEEE Transactions on Circuits and Systems I: Regular Papers

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 12