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Record W7034177849

Study of Radiation Tolerant Storage Cells for Digital Systems

2023· dissertation· en· W7034177849 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsnot available
Fundersnot available
KeywordsTransistorLeakage (economics)Digital electronicsElectronic circuitGate oxideIntegrated circuitReliability (semiconductor)Silicon on insulatorElectronicsSemiconductor device
DOInot available

Abstract

fetched live from OpenAlex

Single event upsets (SEUs) are a significant reliability issue in semiconductor devices. Fully Depleted Silicon-on-Insulator (FDSOI) technologies have been shown to exhibit better SEU performance compared to bulk technologies. This is attributed to the thin Silicon (Si) layer on top of a Buried Oxide (BOX) layer, which allows each transistor to function as an insulated Si island, thus reducing the threat of charge-sharing. Moreover, the small volume of the Si in FDSOI devices results in a reduction of the amount of charge induced by an ion strike.\nThe effects of Total Ionizing Dose (TID) on integrated circuits (ICs) can lead to changes in gate propagation delays, leakage currents, and device functionality. When IC circuits are exposed to ionizing radiation, positive charges accumulate in the gate oxide and field oxide layers, which results in reduced gate control and increased leakage current. TID effects in bulk technologies are usually simpler due to the presence of only one gate oxide layer, but FDSOI technologies have a more complex response to TID effects because of the additional BOX layer.\nIn this research, we aim to address the challenges of developing cost-effective electronics for space applications by bridging the gap between expensive space-qualified components and high-performance commercial technologies. Key research questions involve exploring various radiation-hardening-by-design (RHBD) techniques and their trade-offs, as well as investigating the feasibility of radiation-hardened microcontrollers.\nThe effectiveness of RHBD techniques in mitigating soft errors is well-established. In our study, a test chip was designed using the 22-nm FDSOI process, incorporating multiple RHBD Flip-Flop (FF) chains alongside a conventional FF chain. Three distinct types of ring oscillators (ROs) and a 256 kbit SRAM was also fabricated in the test chip. To evaluate the SEU and TID performance of these designs, we conducted multiple irradiation experiments with alpha particles, heavy ions, and gamma-rays. Alpha particle irradiation tests were carried out at the University of Saskatchewan using an Americium-241 alpha source. Heavy ion experiments were performed at the Texas A&M University Cyclotron Institute, utilizing Ne, Ar, Cu, and Ag in a 15 MeV/amu cocktail. Lastly, TID experiments were conducted using a Gammacell 220 Co-60 chamber at the University of Saskatchewan. By evaluating the performance of these designs under various irradiation conditions, we strive to advance the development of cost-effective, high-performance electronics suitable for space applications, ultimately demonstrating the significance of this project.\nWhen exposed to heavy ions, radiation-hardened FFs demonstrated varying levels of improvement in SEU performance, albeit with added power and timing penalties compared to conventional designs. Stacked-transistor DFF designs showed significant enhancement, while charge-cancelling and interleaving techniques further reduced upsets. Guard-gate (GG) based FF designs provided additional SEU protection, with the DFR-FF and GG-DICE FF designs showing zero upsets under all test conditions. Schmitt-trigger-based DFF designs exhibited improved SEU performance, making them attractive choices for hardening applications. The 22-nm FDSOI process proved more resilient to TID effects than the 28-nm process; however, TID effects remained prominent, with increased leakage current and SRAM block degradation at high doses. These findings offer valuable insights for designers aiming to meet performance and SER specifications for circuits in radiation environments, emphasizing the need for additional attention during the design phase for complex radiation-hardened circuits.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.170
Teacher spread0.163 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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