Rock-Hyun Baek

Orcid: 0000-0002-6175-8101

Affiliations:
  • Pohang University of Science and Technology, South Korea


According to our database1, Rock-Hyun Baek authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Nonlinear Variation Decomposition of Neural Networks for Holistic Semiconductor Process Monitoring.
Adv. Intell. Syst., October, 2024

Neural Compact Modeling Framework for Flexible Model Parameter Selection with High Accuracy and Fast SPICE Simulation.
Adv. Intell. Syst., April, 2024

Cryogenic Body Bias Effect in DRAM Peripheral and Buried-Channel-Array Transistor for Quantum Computing Applications.
IEEE Access, 2024

Current-Voltage Modeling of DRAM Cell Transistor Using Genetic Algorithm and Deep Learning.
IEEE Access, 2024

FEOL Monolithic Co-Integration of FeFET and CMOS on 8-Inch Wafer Using Laser Spike Annealing With Implementation of an FeFET Inverter.
IEEE Access, 2024

2023
Modeling of 3D NAND Characteristics for Cross-Temperature by Using Graph Neural Network and Its Application.
Adv. Intell. Syst., December, 2023

Accurate Prediction and Reliable Parameter Optimization of Neural Network for Semiconductor Process Monitoring and Technology Development.
Adv. Intell. Syst., September, 2023

Curing Process on Passivation Layer for Backside-Illuminated CMOS Image Sensor Application.
IEEE Access, 2023

Holistic Optimization of Trap Distribution for Performance/Reliability in 3-D NAND Flash Using Machine Learning.
IEEE Access, 2023

Front-side and Back-side Power Delivery Network Guidelines for 2nm node High Perf Computing and Mobile SoC applications.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

2022
A Review of Multi-Modal Learning from the Text-Guided Visual Processing Viewpoint.
Sensors, 2022

Arbitrary Font Generation by Encoder Learning of Disentangled Features.
Sensors, 2022

DC Performance Variations by Grain Boundary in Source/Drain Epitaxy of Sub-3-nm Nanosheet Field-Effect Transistors.
IEEE Access, 2022

Extraction of Device Structural Parameters Through DC/AC Performance Using an MLP Neural Network Algorithm.
IEEE Access, 2022

2021
Digital/Analog Performance Optimization of Vertical Nanowire FETs Using Machine Learning.
IEEE Access, 2021

Monolithic 3D 6T-SRAM Based on Newly Designed Gate and Source/Drain Bottom Contact Schemes.
IEEE Access, 2021

Analysis of TSV-Induced Mechanical Stress and Electrical Noise Coupling in Sub 5-nm Node Nanosheet FETs for Heterogeneous 3D-ICs.
IEEE Access, 2021

2020
A Novel Sub-5-nm Node Dual-Workfunction Folded Cascode Nanosheet FETs for Low Power Mobile Applications.
IEEE Access, 2020

Device Design Guideline of 5-nm-Node FinFETs and Nanosheet FETs for Analog/RF Applications.
IEEE Access, 2020

Comprehensive Analysis of Source and Drain Recess Depth Variations on Silicon Nanosheet FETs for Sub 5-nm Node SoC Application.
IEEE Access, 2020

Neural Approach for Modeling and Optimizing Si-MOSFET Manufacturing.
IEEE Access, 2020

2019
Source/Drain Patterning FinFETs as Solution for Physical Area Scaling Toward 5-nm Node.
IEEE Access, 2019

Bottom Oxide Bulk FinFETs Without Punch-Through-Stopper for Extending Toward 5-nm Node.
IEEE Access, 2019

Punch-Through-Stopper Free Nanosheet FETs With Crescent Inner-Spacer and Isolated Source/Drain.
IEEE Access, 2019

2018
Experimental Verification of a Simple, Intuitive, and Accurate Closed-Form Transfer Function Model for Diverse High-Speed Interconnects.
Proceedings of the International SoC Design Conference, 2018


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