Yang, J. Joshua

Memristive devices for computing

Yang, J. J., Strukov, D. B., & Stewart, D. R. (2013) · Nature Nanotechnology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

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Memristive switching mechanism for metal/oxide/metal nanodevices

Yang, J. J., Pickett, M. D., Li, X., Ohlberg, D. A. A., Stewart, D. R., & Williams, R. S. (2008) · Nature Nanotechnology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 2,987

Fully hardware-implemented memristor convolutional neural network

Yao, P., Wu, H., Gao, B., Tang, J., Zhang, Q., Zhang, W., Yang, J. J., & Qian, H. (2020) · Nature

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 2,179

‘Memristive’ switches enable ‘stateful’ logic operations via material implication

Borghetti, J., Snider, G. S., Kuekes, P. J., Yang, J. J., Stewart, D. R., & Williams, R. S. (2010) · Nature

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 1,929

Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

Fuller, E. J., Keene, S. T., Melianas, A., Wang, Z., Agarwal, S., Li, Y., Tuchman, Y., James, C. D., Marinella, M. J., Yang, J. J., et al. (2019) · Science

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 756

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

High switching endurance in TaOx memristive devices

Yang, J. J., Zhang, M.-X., Strachan, J. P., Miao, F., Pickett, M. D., Kelley, R. D., Medeiros-Ribeiro, G., & Williams, R. S. (2010) · Applied Physics Letters

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 637

Hardware implementation of memristor-based artificial neural networks

Aguirre, F., Sebastian, A., Le Gallo, M., Song, W., Wang, T., Yang, J. J., Lu, W., Chang, M.-F., Ielmini, D., Yang, Y., et al. (2024) · Nature Communications

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 564

High‐Speed and Low‐Energy Nitride Memristors

Choi, B. J., Torrezan, A. C., Strachan, J. P., Kotula, P. G., Lohn, A. J., Marinella, M. J., Li, Z., Williams, R. S., & Yang, J. J. (2016) · Advanced Functional Materials

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 356

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

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Low-Power, Self-Rectifying, and Forming-Free Memristor with an Asymmetric Programing Voltage for a High-Density Crossbar Application

Kim, K. M., Zhang, J., Graves, C., Yang, J. J., Choi, B. J., Hwang, C. S., Li, Z., & Williams, R. S. (2016) · Nano Letters

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

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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

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Linearly programmable two-dimensional halide perovskite memristor arrays for neuromorphic computing

Kim, S. J., Im, I. H., Baek, J. H., Choi, S., Park, S. H., Lee, D. E., Kim, J. Y., Kim, S. Y., Park, N.-G., Lee, D., et al. (2025) · Nature Nanotechnology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

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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

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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

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Spectromicroscopy of tantalum oxide memristors

Strachan, J. P., Medeiros-Ribeiro, G., Yang, J. J., Zhang, M.-X., Miao, F., Goldfarb, I., Holt, M., Rose, V., & Williams, R. S. (2011) · Applied Physics Letters

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

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Integration of 4F2 selector-less crossbar array 2Mb ReRAM based on transition metal oxides for high density memory applications

Lee, H. D., Kim, S. G., Cho, K., Hwang, H., Choi, H., Lee, J., Lee, S. H., Lee, H. J., Suh, J., Chung, S.-O., et al. (2012) · 2012 Symposium on VLSI Technology (VLSIT)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

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Forming-less flexible memristor crossbar array for neuromorphic computing applications produced using low-temperature atomic layer deposition

Kim, M., Kim, D.-E., Wang, Y., Lee, D., Lim, D.-H., Choi, H., Kymissis, I., Yang, J. J., Suh, J., Lee, H.-S., et al. (2024) · Applied Materials Today

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

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2022 roadmap on neuromorphic computing and engineering

Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., et al. (2022) · Neuromorphic Computing and Engineering

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

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