EDBT 2026 Demo / reviewers in the wild / expert
Lin Wang 0111
dblp:17/6729-111
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2025
0000-0003-3430-7345ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 3 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Device-Aware Test for Anomalous Charge Trapping in FeFETsabstractThe development of Ferroelectric Field-Effect Transistor (FeFET) manufacturing requires high-quality test solutions, yet research on FeFET testing is still in a nascent stage. To generate a dedicated test method for FeFETs, it is critical to have a deep understanding of manufacturing defects and accurately model them. In this work, we introduce the unique defect, Anomalous Charge Trapping (ACT), in FeFETs. The ACT-defective FeFET is characterized, and the physical mechanism of the defect is explained. Then, we apply the Deviceaware Test (DAT) method to design a specific ACT-defective FeFET model, which includes the physical impact of the defect on the electrical parameters of defect-free models, and calibrate the model with measurement data. Fault modeling is performed based on circuit-level simulations, and dedicated test solutions are proposed. Sicong Yuan, Moritz Fieback, Hanzhi Xun, Mottaqiallah Taouil, Xiuyan Li, Lin Wang 0111, Nicolò Bellarmino, Riccardo Cantoro, Said Hamdioui |
ASP-DAC | 8 |
| 2025 | Device-Aware Test for Threshold Voltage Shifting in FeFETabstractFerroelectric Field-Effect Transistors (FeFETs) are promising candidates for non-volatile memory (NVM) technologies, especially in embedded systems and edge computing. However, due to their physical characteristics, FeFETs exhibit unique defects—such as Threshold Voltage Shifting (TVS) caused by trap charges in the oxide layer—that are not captured by conventional defect models. This study adopts the Device-Aware Test (DAT) methodology to model these defects by incorporating their impact into the electrical parameters, calibrated using measurement data. Defect injection, circuit-level simulations, and fault analysis are performed to derive realistic fault models. Finally, the March algorithm and Design-for-Test (DfT) techniques are proposed to effectively detect these defects. Sicong Yuan, Nima Kolahimahmoudi, Hanzhi Xun, Nicolò Bellarmino, Chujun Yin, Mottaqiallah Taouil, Moritz Fieback, Xiuyan Li, Lin Wang 0111, Riccardo Cantoro, Said Hamdioui |
ITC | 11 |
| 2024 | Defects, Fault Modeling, and Test Development Framework for FeFETsabstractAs emerging non-volatile memory (NVM) devices, Ferroelectric Field-Effect Transistors (FeFETs) present distinctive opportunities for the design of ultra-dense and low-leakage memory systems. For matured FeFET manufacturing, it is extremely important to have an understanding of manufacturing defects and accurately model them to develop effective test solutions. This paper introduces a comprehensive framework for defect and fault modeling, which enables the development of test solutions. First, a classification of FeFET manufacturing defects is provided; both conventional defects (such as contacts and interconnect defects) as well as unique FeFET defects are discussed. The latter FeFET specific defect leads to unique faults that cannot be adequately described using traditional modeling approaches. Then, the Device-Aware Test (DAT) method is used to effectively and appropriately model, analyze and develop test solutions for such unique defects; the approach will be illustrated for Stuck-at-Polarization (SAP) defects. Sicong Yuan, Hanzhi Xun, Mottaqiallah Taouil, Moritz Fieback, Xiuyan Li, Lin Wang 0111, Riccardo Cantoro, Chujun Yin, Said Hamdioui |
ITC | 9 |