EMI Shielding Using Flexible Optically Transparent Screens for Smart Electromagnetic Environments
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
Past generations of wireless systems focused largely toward power and bandwidth to support higher data rates, coverage, and quality of service. Smart electromagnetic environments, on the other hand, are aimed at meeting these expectations through modifications in the electromagnetic properties of the geometry, which were once considered an uncontrollable part of a wireless system. This is done through careful placement of smart electromagnetic structures that can constructively manipulate the propagation of electromagnetic waves. In this work, we present optically transparent electromagnetic screens for shielding applications that require visual observation. New aluminum-doped zinc oxide (AZO) thin films, that are low-loss, and optically transparent, are deposited on plastic for use as absorbing-type shields. We also present a simple and reliable technique to fabricate all-metallic single-layer reflecting-type shields. All these shields have a unique combination of shielding effectiveness (SE) and optical transparency that advance the state of the art. They can be used as curtains or walls in indoor environments, windows for autonomous vehicles and as covers to shield smart IoT devices.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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