Water Heating Rate as a Function of Magnetic Field and Electrical Induction Using Solar Energy
Bibliographic record
Abstract
The effect of magnetic fields on the water remains a highly controversial topic despite much research focused on this topic in the past decades.However, the improvement of water heating in a magnetic field is less controversial.The mechanism underlying this phenomenon was studied in prior works.In this paper, use solar electric induction to study the heating of water in magnetic fields; one distinction between induction heating and magnetic field heating is that the convection in the water heater is varied due to the different heating locations.Using computational fluid dynamics, it was possible to examine the heat load in the heater during induction heating and magnetic field heating, determine its temperature distribution, and flow rate.The heat flow in magnetic field heating was measured over the heater base at the bottom.In induction heating, the analysis was conducted using the distribution of heat production as determined by electromagnetic field analysis.Simulation shows differences in convective flow in the heater during induction heating and magnetic field heating, particularly in the early stages of heating.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".