Magnetic composite based magneto hydrodynamic pump
Bibliographic record
Abstract
In this work, an NdFeB isotropic magnetic powder - polydimethylsiloxane (PDMS) composite is used as the magnetic flux source for the MHD pump. MHD pumps can only pump conductive fluids. While liquid metals such as mercury or gallium can be used as the conductive fluid, for most commercial applications saline fluids, such as blood, urine or sea water serve as the conductive medium. During the functioning of a saline fluid MHD pump, chlorine gas is evolved at the anode, which results in corrosion. Thus, cheaper metals such as copper and aluminum cannot be used as electrodes in such pumps. Electrodes made up of noble metals such as Gold and Platinum have been used, but they drive up the system cost and also need specialized fabrication processes for adequate sidewall coverage. Herein, CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> laser printing is used to convert the insulator polyimide (PI) to conductive graphene and this material is used as the electrode. A polyimide precursor is spun coated on a silicon wafer and thermally cured to form an 8 μm thick polyimide film. Selective printing of the CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> laser across the surface of the PI film with a speed of 92 mm/s and power of 3 W forms the laser induced graphene (LIG) electrodes.
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 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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; both teacher heads agree on what is shown here.
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".