Analysis of High-Failure Mechanism Based on Gate-Controlled Device for Electro-Static Discharge Protection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As semiconductor process continues to advance, the miniaturization of feature sizes places higher demands on high-failure electro-static discharge (ESD) applications. This article explores the connection between the physical structure of a device-level silicon controlled rectifier (SCR) and high-failure ESD characteristics. The gate-controlled silicon controlled rectifier (GCSCR) based on the gate control effect is fabricated using the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.18~\mu \text{m}$ </tex-math></inline-formula> standard bipolar complementary-metal-oxide-semiconductor double-diffused-metal-oxide-semiconductor (BCD) process. The ESD characteristics of the device are analyzed by technology computer aided design (TCAD) simulation and equivalent circuits. The transmission line pulse (TLP) is used to test the performance of the device. The results show that when the gate length is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4~\mu \text{m}$ </tex-math></inline-formula> , the failure current of the device is only 1.56A. When the gate length is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1~\mu \text{m}$ </tex-math></inline-formula> , the trigger voltage and the holding voltage of the device are 24.4V and 21.1V respectively, and the failure current is 34.94A. According to the test results of the above devices, it can be concluded that the current release mode of GCSCR with different gate sizes significantly affects the ESD characteristics of the device.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it