Dynamics of Engineered Artificial Membranes and Biosensors
Bibliographic record
Abstract
Learn about the state of the art in building artificial membranes and synthetic biological devices, and in constructing mathematical models for their dynamics at multiple time and spatial scales with this comprehensive book. Drawing on recent advances in bioengineering and biochemistry, it describes how to engineer tethered bilayer lipid membranes, bioelectronic interfaces, high-resolution biosensors, and diagnostic devices for non-invasive cellular measurements and electroporation. Multi-physics models combining atomistic (molecular dynamics and coarse-grained molecular dynamics), mesoscopic (Poisson-Nernst-Planck), and macroscopic (reaction-rate theory) dynamics provide a complete structure-to-function description of these devices. Experiments and dynamic models explain how anti-microbial peptides penetrate membranes, how molecular machine biosensors built out of artificial membranes can detect femtomolar concentrations, and how electroporation can be controlled. Supported by atomistic simulation code online, this is essential reading for researchers, students and professionals in bioengineering, chemical engineering, biophysics, applied mathematics, and electrical engineering
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".