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Jongun Won

Showing results (1-10 of 3) with videos related to

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Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|May 20, 2025
Disturbance-Aware On-Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning AcceleratorJaehyeon Kang, Jongun Won, Narae Han, et al.
ACS Applied Materials & Interfaces|September 5, 2025
Enhancement of On-Current and Reliability in InGaZnO Thin-Film Transistors for Synaptic Circuit Applications through Gate Insulator Stack EngineeringNarae Han, Youngchae Roh, Ha-Jun Sung, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 9, 2023
Device-Algorithm Co-Optimization for an On-Chip Trainable Capacitor-Based Synaptic Device with IGZO TFT and Retention-Centric Tiki-Taka AlgorithmJongun Won, Jaehyeon Kang, Sangjun Hong, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|May 20, 2025
Disturbance-Aware On-Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning AcceleratorJaehyeon Kang, Jongun Won, Narae Han, et al.
ACS Applied Materials & Interfaces|September 5, 2025
Enhancement of On-Current and Reliability in InGaZnO Thin-Film Transistors for Synaptic Circuit Applications through Gate Insulator Stack EngineeringNarae Han, Youngchae Roh, Ha-Jun Sung, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 9, 2023
Device-Algorithm Co-Optimization for an On-Chip Trainable Capacitor-Based Synaptic Device with IGZO TFT and Retention-Centric Tiki-Taka AlgorithmJongun Won, Jaehyeon Kang, Sangjun Hong, et al.
Pageof 1