A High Failure-Current Gate-Controlled Dual-Direction SCR for High-Voltage ESD Protection in 0.18-μm BCD Technology
Bibliographic record
Abstract
To make a dual-direction silicon-controlled rectifier (SCR) that is highly robust in a high-voltage environment, a gate-controlled dual-direction SCR (GC-DDSCR) device is proposed. After analyzing the working principle of the device through the equivalent circuit and 2-D device simulation, the electro-static discharge (ESD) characteristics of the device are verified through the transmission line pulse (TLP) test. The failure current of the GC-DDSCR structure is greatly improved to 14.19 A compared with only 3.53 A of the same size traditional dual-direction SCR (TDDSCR) structure. The trigger voltage and the holding voltage of the GC-DDSCR are 24.23 and 20.15 V, respectively. In addition, this article explains the principle of GC-DDSCR devices with high protection capability. That is, because the device has a polysilicon gate electrode shorted to the anode (cathode), the electric field effect generated by the gate promotes carrier movement in the SCR path. Thus, the electric field force promotes the opening of the SCR path of the device and the direction of the electric field force is always consistent with the current direction. The overall failure capability of the device is effectively improved.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".