Strachan, John Paul

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

The future of electronics based on memristive systems

Zidan, M. A., Strachan, J. P., & Lu, W. D. (2018) · Nature Electronics

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 2,138

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

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

ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars

Shafiee, A., Nag, A., Muralimanohar, N., Balasubramonian, R., Strachan, J. P., Hu, M., Williams, R. S., & Srikumar, V. (2016) · 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 775

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

Sub-nanosecond switching of a tantalum oxide memristor

Torrezan, A. C., Strachan, J. P., Medeiros-Ribeiro, G., & Williams, R. S. (2011) · Nanotechnology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 701

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

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

PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference

Ankit, A., Hajj, I. E., Chalamalasetti, S. R., Ndu, G., Foltin, M., Williams, R. S., Faraboschi, P., Hwu, W.-M. W., Strachan, J. P., Roy, K., et al. (2019) · Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 424

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

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

Measuring the switching dynamics and energy efficiency of tantalum oxide memristors

Strachan, J. P., Torrezan, A. C., Medeiros-Ribeiro, G., & Williams, R. S. (2011) · Nanotechnology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 114

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

Cited by 90

Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search

Mao, R., Wen, B., Kazemi, A., Zhao, Y., Laguna, A. F., Lin, R., Wong, N., Niemier, M., Hu, X. S., Sheng, X., et al. (2022) · Nature Communications

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 71

CMOS-integrated nanoscale memristive crossbars for CNN and optimization acceleration

Li, C., Ignowski, J., Sheng, X., Wessel, R., Jaffe, B., Ingemi, J., Graves, C., & Strachan, J. P. (2020) · 2020 IEEE International Memory Workshop (IMW)

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 37

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

Cited by 0