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Numerical studies of nonlocal electrostatic effects on the sub-nanoscale

2009· article· en· W2079008969 on OpenAlex
Jörg Rottler, B Krayenhoff

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affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Physics Condensed Matter · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSurface and Thin Film Phenomena
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanoscopic scalePhysicsStatistical physicsMaterials scienceClassical mechanicsNanotechnology

Abstract

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We study nonlocal electrostatics in inhomogeneous dielectric environments on the sub-nanometer scale using a recently introduced polarization energy functional. This functional is able to generate a wavevector-dependent dielectric function ϵ(q) that reflects local correlations in the medium's polarization. Its longitudinal component either decays continuously from its macroscopic continuum value to one at large q, or additionally exhibits two poles with a negative band at intermediate wavevectors (overscreening), which is characteristic of polar fluids such as water. We show that the functional reproduces known nonlocal electrostatic effects: the pair potential between point charges or Born ions in water at distances less than 5 Å is strongly modified, and the Born solvation energy is found to either decrease or increase relative to its local electrostatics value, depending on which approximation is chosen for ϵ(q). We then apply the functional to geometries that can no longer be treated analytically, such as a molecular pore of finite length. In such an anisotropic dielectric background transverse correlations in the polarization field no longer vanish and can contribute to substantial modifications of the dielectric barrier for ion translocation in the regime of intermediate pore diameters of 6-10 Å.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.260
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it