Wetting Characteristics of a Phospholipid Membrane Using Molecular Dynamics Simulation
Bibliographic record
Abstract
Phospholipid molecules form bilayers in water due to their hydrophilic heads and hydrophobic tails. The electroporation of lipid bilayers (cell membranes) is a phenomenon where membranes are permeabilized by the application of electric fields. At some critical voltage, a dramatic increase in conductivity across the membranes is observed. This phenomenon is widely used in DNA and RNA transfer as well as targeted drug delivery systems. However, the membrane ruptures with a continuous increase in voltage where interaction between lipid and water molecules is an important factor in electroporation behavior. This study characterizes the wettability, of both the head and tail groups of lipid molecules, by calculating the contact angle of a water droplet on a planar phospholipid monolayer using molecular dynamics simulations. The water droplet completely spreads on the hydrophilic heads of the lipid, while forming an average contact angle of 136.05° on the hydrophobic tails. An analysis using the Young’s equation suggests that a difference in free energy of 116 mJ/m2 contributes to the overall energy barrier for water penetration across the lipid monolayer. We aim to control this permeabilization phenomenon to achieve water desalination.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".