Hoang-Hiep Le

Random and Systematic Variation in Nanoscale Hf0.5Zr0.5O2 Ferroelectric FinFETs: Physical Origin and Neuromorphic Circuit Implications

C. Su, P. Sung, D. Lu, 2022, Frontiers in Nanotechnology.

Neuromorphic Computing with Fe-FinFETs in the Presence of Variation

D. Lu, Bo-Han Qiu, M. Baig, 2022, 2022 International Symposium on VLSI Technology, Systems and Applications (VLSI-TSA).

READ-Optimized 28nm HKMG Multibit FeFET Synapses for Inference-Engine Applications

D. Lu, T. Ali, T. Kämpfe, 2022, IEEE Journal of the Electron Devices Society.

Ultra-Low Power Robust 3bit/cell Hf0.5Zr0.5O2 Ferroelectric FinFET with High Endurance for Advanced Computing-In-Memory Technology

Yao-Jen Lee, P. Sung, W. Yeh, 2021, 2021 Symposium on VLSI Technology.

Robust Binary Neural Network Operation From 233 K to 398 K via Gate Stack and Bias Optimization of Ferroelectric FinFET Synapses

Sourav De, Bo-Han Qiu, Md. Aftab Baig, 2021, IEEE Electron Device Letters.

Ultralow Power Neuromorphic Accelerator for Deep Learning Using Ni/HfO2/TiN Resistive Random Access Memory

Tsung-Han Lin, Darsen D. Lu, Hoang-Hiep Le, 2020, 2020 4th IEEE Electron Devices Technology & Manufacturing Conference (EDTM).

HfTaOx Rectifying Layer for HfOx-Based RRAM for High-Accuracy Neuromorphic Computing Applications

D. Lu, Cheng-Ying Li, Ting-Jia Chang, 2023, ACS Applied Electronic Materials.