Recent progress in research on electrostatic precipitation (invited paper)
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
Electrostatic precipitation is a mature technology for many years successfully used in industrial applications. However, with increasingly stringent environmental protection requirements these devices are expected to work with higher efficiency, especially for small dust particles. In this situation, the research on electrostatic precipitation is still very active with an ever increasing number of publications. The present paper aims on a review of recently published papers in this area. In the first part, new and improved precipitator configurations are reviewed, with a focus on multi-stage precipitation process, particle agglomeration and hybrid filtration. These techniques should be especially beneficial for collecting submicron particles. In the second part of this paper, the numerical techniques for simulating the precipitation process are discussed. The models to predict the particle trajectories and collection efficiency include not only the gas discharge, flow, and the particle dynamics, but also the effect of gas temperature, humidity and chemistry. List of contents.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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