Suhwan Lim
According to our database1,
Suhwan Lim
authored at least 15 papers
between 2017 and 2024.
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Bibliography
2024
Paving the Way for Pass Disturb Free Vertical NAND Storage via A Dedicated and String-Compatible Pass Gate.
CoRR, 2024
In-depth Analysis of the Hafnia Ferroelectrics as a Key Enabler for Low Voltage & QLC 3D VNAND Beyond 1K Layers: Experimental Demonstration and Modeling.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024
Low-Damage Processed and High-Pressure Annealed High-k Hafnium Zirconium Oxide Capacitors near Morphotropic Phase Boundary with Record-Low EOT of 2.4Å & high-k of 70 for DRAM Technology.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024
Proceedings of the IEEE International Reliability Physics Symposium, 2024
Proceedings of the IEEE International Reliability Physics Symposium, 2024
Design Framework for Ferroelectric Gate Stack Engineering of Vertical NAND Structures for Efficient TLC and QLC Operation.
Proceedings of the IEEE International Memory Workshop, 2024
2023
Novel Strategies for Highly Uniform and Reliable Cell Characteristics of 8th Generation 1Tb 3D-NAND Flash Memory.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023
Proceedings of the IEEE International Memory Workshop, 2023
2021
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
2020
Efficient precise weight tuning protocol considering variation of the synaptic devices and target accuracy.
Neurocomputing, 2020
2019
Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices.
Neural Comput. Appl., 2019
Investigation of Neural Networks Using Synapse Arrays Based on Gated Schottky Diodes.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 49th European Solid-State Device Research Conference, 2019
2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices.
CoRR, 2017