Strukov, Dmitri B.

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

Cited by 3,885

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

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 3,001

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

Pattern classification by memristive crossbar circuits using ex situ and in situ training

Alibart, F., Zamanidoost, E., & Strukov, D. B. (2013) · Nature Communications

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 642

High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

Alibart, F., Gao, L., Hoskins, B. D., & Strukov, D. B. (2012) · Nanotechnology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 557

Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

Bayat, F. M., Prezioso, M., Chakrabarti, B., Nili, H., Kataeva, I., & Strukov, D. (2018) · Nature Communications

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 377

4K-memristor analog-grade passive crossbar circuit

Kim, H., Mahmoodi, M. R., Nili, H., & Strukov, D. B. (2021) · Nature Communications

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 265

3-D Memristor Crossbars for Analog and Neuromorphic Computing Applications

Adam, G. C., Hoskins, B. D., Prezioso, M., Merrikh-Bayat, F., Chakrabarti, B., & Strukov, D. B. (2017) · IEEE Transactions on Electron Devices

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 234

Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits

Prezioso, M., Mahmoodi, M. R., Bayat, F. M., Nili, H., Kim, H., Vincent, A., & Strukov, D. B. (2018) · Nature Communications

Advanced Memory and Neural ComputingNeural dynamics and brain function

Cited by 215

High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays

Merrikh-Bayat, F., Guo, X., Klachko, M., Prezioso, M., Likharev, K. K., & Strukov, D. B. (2018) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design

Cited by 167

Four-dimensional address topology for circuits with stacked multilayer crossbar arrays

Strukov, D. B., & Williams, R. S. (2009) · Proceedings of the National Academy of Sciences

Advanced Memory and Neural Computing3D IC and TSV technologies

Cited by 153

3D-aCortex: an ultra-compact energy-efficient neurocomputing platform based on commercial 3D-NAND flash memories

Bavandpour, M., Sahay, S., Mahmoodi, M. R., & Strukov, D. B. (2021) · Neuromorphic Computing and Engineering

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

Cited by 45

Mixed-Signal Neuromorphic Inference Accelerators: Recent Results and Future Prospects

Bavandpour, M., Mahmoodi, M. R., Nili, H., Bayat, F. M., Prezioso, M., Vincent, A., Strukov, D. B., & Likharev, K. K. (2018) · 2018 IEEE International Electron Devices Meeting (IEDM)

Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design

Cited by 39

Comprehensive Compact Phenomenological Modeling of Integrated Metal-Oxide Memristors

Nili, H., Vincent, A. F., Prezesio, M., Mahmoodi, M. R., Kataeva, I., & Strukov, D. B. (2020) · IEEE Transactions on Nanotechnology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 38

Memristor-based perceptron classifier: Increasing complexity and coping with imperfect hardware

Bayat, F. M., Prezioso, M., Chakrabarti, B., Kataeva, I., & Strukov, D. (2017) · 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 29