Thermal-Dependent Intermolecular Forces in Gases: A New Analytical Approach Based on Experimental Evidence
Bibliographic record
Abstract
Laboratory experiments and observations of natural phenomena conducted in this research series indicates the presence of a thermally dependent component of gravitational interaction, influencing matter at both microscopic and macroscopic scales. Presented herein are investigations of properties of gravitational interactions among gas molecules through a thermodynamic approach applying a two-molecule force model. Unlike conventional treatments that consider gravity as a single attractive force, the experimental interpretation in this work proposes that the net gravitational effect may arise from two components: a attractive force and a temperature-dependent repulsive force.By applying established thermodynamic data for gases, the model yielded results that: (1) support the existence of both attractive and repulsive gravitational components among gas molecules,(2) indicate both forces follow an inverse-cube dependence on the intermolecular distance, and(3) show the repulsive component varies linearly with absolute temperature, indicating a connection between thermal energy and fundamental force behavior. The magnitudes of the proposed gravitational repulsion and attraction components are calculated to be significantly larger than the classical gravitational force between molecules, suggesting that the observed weak gravitational interaction may be the small resultant of two much stronger opposing forces. This introduces the possibility that controlled manipulation of these force components could lead to new physical insights and technological applications.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".