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Energy-efficient Mott activation neuron for full-hardware implementation of neural networks

Nature nanotechnology, 2021-06, Vol.16 (6), p.680-687

2021

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The Impact of Resistance Drift of Phase Change Memory (PCM) Synaptic Devices on Artificial Neural Network Performance

IEEE electron device letters, 2019-08, Vol.40 (8), p.1325-1328

2019

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Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

Nature communications, 2018-12, Vol.9 (1), p.5312-11, Article 5312

2018

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3-D Quasi-Atomistic Model for Line Edge Roughness in Nonplanar MOSFETs

IEEE transactions on electron devices, 2016-12, Vol.63 (12), p.4617-4623

2016

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A Soft-Pruning Method Applied During Training of Spiking Neural Networks for In-memory Computing Applications

Frontiers in neuroscience, 2019-04, Vol.13, p.405-405

2019

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Design for Variation-Immunity in Sub-10-nm Stacked-Nanowire FETs to Suppress LER-induced Random Variations

IEEE transactions on electron devices, 2016-12, Vol.63 (12), p.5048-5054

2016

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Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge

Nature communications, 2024-04, Vol.15 (1), p.3492-3492, Article 3492

2024

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Selective modulation of electronic transport in VO2 induced by 10 keV helium ion irradiation

Journal of applied physics, 2024-03, Vol.135 (12)

2024

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Genome-wide identification and characterization of NBS-encoding genes in Raphanus sativus L. and their roles related to Fusarium oxysporum resistance

BMC plant biology, 2021-01, Vol.21 (1), p.47-47, Article 47

2021

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Integration of Ag-CBRAM crossbars and Mott ReLU neurons for efficient implementation of deep neural networks in hardware

Neuromorphic computing and engineering, 2023-09, Vol.3 (3), p.34007

2023

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A compact effective-current model for power performance analysis on state-of-the-art technology development and benchmarking

Japanese Journal of Applied Physics, 2015-12, Vol.54 (12), p.124302

2015

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Drift-Enhanced Unsupervised Learning of Handwritten Digits in Spiking Neural Network With PCM Synapses

IEEE electron device letters, 2018-11, Vol.39 (11), p.1768-1771

2018

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Performance Prospects of Deeply Scaled Spin-Transfer Torque Magnetic Random-Access Memory for In-Memory Computing

IEEE electron device letters, 2020-07, Vol.41 (7), p.1126-1129

2020

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Energy Efficient Hardware Implementation of Neural Networks Using Emerging Non-Volatile Memory Devices

Oh, Sangheon

2023

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A Neuromorphic Brain Interface Based on RRAM Crossbar Arrays for High Throughput Real-Time Spike Sorting

IEEE transactions on electron devices, 2022-04, Vol.69 (4), p.2137-2144

2022

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Worst Case Sampling Method with Confidence Ellipse for Estimating the Impact of Random Variation on Static Random Access Memory (SRAM)

JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, 2015, 15(3), 63, pp.374-380

2015

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Adaptive Quantization as a Device-Algorithm Co-Design Approach to Improve the Performance of In-Memory Unsupervised Learning With SNNs

IEEE transactions on electron devices, 2019-04, Vol.66 (4), p.1722-1728

2019

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Memristors with Tunable Volatility for Reconfigurable Neuromorphic Computing

ACS nano, 2024-07, Vol.18 (26), p.17007-17017

2024

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Impacts of Visualizations on Decoy Effects

International journal of environmental research and public health, 2021-12, Vol.18 (23), p.12674

2021

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Integration of Ag-CBRAM crossbars and Mott ReLU neurons for efficient implementation of deep neural networks in hardware

Neuromorphic computing and engineering, 2023-08, Vol.3 (3)

2023

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A Versatile and Efficient Neuromorphic Platform for Compute-in-Memory with Selector-less Memristive Crossbars

2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023, p.1-4

2023

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Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing

2024 Device Research Conference (DRC), 2024, p.1-2

2024

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Drift-enhanced Unsupervised Learning with PCM Synapses

2018 76th Device Research Conference (DRC), 2018, p.1-2

2018

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Tuning the Spin Transition and Carrier Type in Rare-Earth Cobaltates via Compositional Complexity

Advanced materials (Weinheim), 2024-08, p.e2406885

2024

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Capacitance matching effects in negative capacitnace field effect transistor

2016 IEEE Silicon Nanoelectronics Workshop (SNW), 2016, p.174-175

2016

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Energy-efficient Mott activation neuron for full-hardware implementation of neural networks

The Impact of Resistance Drift of Phase Change Memory (PCM) Synaptic Devices on Artificial Neural Network Performance

Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

3-D Quasi-Atomistic Model for Line Edge Roughness in Nonplanar MOSFETs

A Soft-Pruning Method Applied During Training of Spiking Neural Networks for In-memory Computing Applications

Design for Variation-Immunity in Sub-10-nm Stacked-Nanowire FETs to Suppress LER-induced Random Variations

Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge

Selective modulation of electronic transport in VO2 induced by 10 keV helium ion irradiation

Genome-wide identification and characterization of NBS-encoding genes in Raphanus sativus L. and their roles related to Fusarium oxysporum resistance

Integration of Ag-CBRAM crossbars and Mott ReLU neurons for efficient implementation of deep neural networks in hardware

A compact effective-current model for power performance analysis on state-of-the-art technology development and benchmarking

Drift-Enhanced Unsupervised Learning of Handwritten Digits in Spiking Neural Network With PCM Synapses

Performance Prospects of Deeply Scaled Spin-Transfer Torque Magnetic Random-Access Memory for In-Memory Computing

Energy Efficient Hardware Implementation of Neural Networks Using Emerging Non-Volatile Memory Devices

A Neuromorphic Brain Interface Based on RRAM Crossbar Arrays for High Throughput Real-Time Spike Sorting

Worst Case Sampling Method with Confidence Ellipse for Estimating the Impact of Random Variation on Static Random Access Memory (SRAM)

Adaptive Quantization as a Device-Algorithm Co-Design Approach to Improve the Performance of In-Memory Unsupervised Learning With SNNs

Memristors with Tunable Volatility for Reconfigurable Neuromorphic Computing

Impacts of Visualizations on Decoy Effects

Integration of Ag-CBRAM crossbars and Mott ReLU neurons for efficient implementation of deep neural networks in hardware

A Versatile and Efficient Neuromorphic Platform for Compute-in-Memory with Selector-less Memristive Crossbars

Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing

Drift-enhanced Unsupervised Learning with PCM Synapses

Tuning the Spin Transition and Carrier Type in Rare-Earth Cobaltates via Compositional Complexity

Capacitance matching effects in negative capacitnace field effect transistor

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