Fundamental research on phase equilibrium concerning hydrogen storage process with liquid organic hydrogen carriers
Bibliographic record
Abstract
Abstract Liquid organic hydrogen carrier (LOHC) technology stands as a pivotal solution to the challenges of hydrogen storage and transportation. However, the efficiency of its hydrogenation process has yet to meet the stringent requirements for practical applications. Consequently, an in‐depth understanding of hydrogen equilibrium concentration determination within LOHCs is crucial for optimizing the hydrogenation process. This work leverages the PE 2000 software to simulate literature data on the solubility of hydrogen in LOHCs, yielding comprehensive phase equilibrium data for hydrogen across various LOHCs. Cubic equations of state along with diverse mixing rules were employed to correlate the phase equilibrium data, calculating the corresponding binary interaction parameters and generating phase diagrams accordingly. The simulation outcomes were meticulously discussed to identify the optimal thermodynamic model for each system. Ultimately, a rational simulation methodology was established that accurately correlates experiment data of H 2 and LOHCs, offering a valuable reference for future studies in this domain.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".