Reliable and Radiation-Hardened Push-Pull pFlash Cell for Reconfigured FPGAs

Liu, G. Z.; Zong-guang, YU; Xiao, Zhiqiang; Wei, Jinghe; Li, B.; Cao, Lina; Song, Side; Zhao, Wei; Sun, Jinjin; Wang, H. B.

doi:10.1109/tdmr.2021.3055210

Cited by 9 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the ERS process, the negative bias voltage can effectively exhaust the electrons in the CTL. In order to avoid the over-ERS phenomenon, a symmetrical operation is adapted, and the detailed method for this is detailed in our previous paper [29].…”

Section: Working Mechanism Of Sonos Pflashmentioning

confidence: 99%

Combined experimental and theoretical investigation on SONOS pFLASH switch

Wei

Liu

Wei

et al. 2023

Semicond. Sci. Technol.

View full text Add to dashboard Cite

In this paper, a newly Push-Pull pFLASH switch is designed and fabricated based on 110 nm eFLASH process which includes two 2T-pFLASH transistors and one signal transmission transistor. The pFLASH transistors are programmed and erased by band-to-band tunneling-induced hot electron and Fowler-Nordheim tunneling to realize its "on/off" function, and the current of the signal transmission transistor can be effectively tuned by the drain voltage of the 2T-pFLASH. In order to clarify the degradation mechanism of the electronic properties, the first principle calculations are performed from the atomic scale. Nitrogen vacancies are proved to play a crucial role in the nitride. Besides, the effects of vacancies on the charge retention are investigated in terms of the electronic structures. The nitrogen vacancies are proved to be harmful for the electron storage by the simulated localization energies. Therefore, this study will provide a newly designed FPGA configuration unit, whose electrical mechanisms are revealed by theory simulations, which can also become the design foundation for the future FLASH switch.

show abstract

Section: Working Mechanism Of Sonos Pflashmentioning

confidence: 99%

Combined experimental and theoretical investigation on SONOS pFLASH switch

Wei

Liu

Wei

et al. 2023

Semicond. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…The amount of radiation a device can tolerate is indicated as Total Ionizing Dose (TID). Radiation tolerance of a device can be achieved in different ways [41][42][43] and depends on both the design methodology and the technologies used to make them. Examples of devices specifically built to work in space environment include the following:…”

Section: Radiation Hardened Devicesmentioning

confidence: 99%

Oil Spill Identification from SAR Images for Low Power Embedded Systems Using CNN

Diana

Fanucci

2021

Remote Sensing

View full text Add to dashboard Cite

Oil spills represent one of the major threats to marine ecosystems. Satellite synthetic-aperture radar (SAR) sensors have been widely used to identify oil spills due to their ability to provide high resolution images during day and night under all weather conditions. In recent years, the use of artificial intelligence (AI) systems, especially convolutional neural networks (CNNs), have led to many important improvements in performing this task. However, most of the previous solutions to this problem have focused on obtaining the best performance under the assumption that there are no constraints on the amount of hardware resources being used. For this reason, the amounts of hardware resources such as memory and power consumption required by previous solutions make them unsuitable for remote embedded systems such as nano and micro-satellites, which usually have very limited hardware capability and very strict limits on power consumption. In this paper, we present a CNN architecture for semantically segmenting SAR images into multiple classes. The proposed CNN is specifically designed to run on remote embedded systems, which have very limited hardware capability and strict limits on power consumption. Even if the performance in terms of results accuracy does not represent a step forward compared with previous solutions, the presented CNN has the important advantage of being able to run on remote embedded systems with limited hardware resources while achieving good performance. The presented CNN is compatible with dedicated hardware accelerators available on the market due to its low memory footprint and small size. It also provides many additional very significant advantages, such as having shorter inference times, requiring shorter training times, and avoiding transmission of irrelevant data. Our goal is to allow embedded low power remote devices such as satellite systems for remote sensing to be able to directly run CNNs on board, so that the amount of data that needs to be transmitted to ground and processed on ground can be substantially reduced, which will be greatly beneficial in significantly reducing the amount of time needed for identification of oil spills from SAR images.

show abstract