Evidence map›Paper›PMID 42500221›Full record

ArticleACS physical chemistry Au2026

Emergent Rate Laws for Collective Lying-Standing Transitions.

Anna Werkovits, Simon B Hollweger, Oliver T Hofmann

Abstract read
In one paragraph

Article in ACS physical chemistry Au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anna WerkovitsInstitute of Solid State Physics, Graz University of Technology, Graz 8010, Austria.ORCID https://orcid.org/0000-0002-5611-5208
Simon B HollwegerInstitute of Solid State Physics, Graz University of Technology, Graz 8010, Austria.ORCID https://orcid.org/0009-0002-1843-9380
Oliver T HofmannInstitute of Solid State Physics, Graz University of Technology, Graz 8010, Austria.ORCID https://orcid.org/0000-0002-2120-3259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lying-standing transitions in the first molecular monolayer at organic-inorganic interfaces strongly influence interface dipoles, energy-level alignment, and growth modes, yet their collective kinetics remain difficult to predict. Here, we establish a quantitative adsorbate-to-kinetics relationship for such transitions using first-principles-based kinetic Monte Carlo simulations combined with a mean-field-type coarse-graining strategy. Focusing on the prototypical system tetracyanoethylene on Cu(111), we show that the collective transition rate cannot be inferred from any single elementary step but instead emerges from a small set of coupled microscopic processes, including reorientation, adsorption, and diffusion. A local two-step reorientation mechanism captures the diffusion-limited regime, while diffusion of lying molecules accelerates the transition in diffusion-enhanced regimes by sterically suppressing back-reorientation via vacancy-molecule decoupling. This effect is captured by a regime-dependent geometric factor that quantitatively accounts for deviations between single-molecule and collective rate constants. By systematically varying molecular size and footprint ratio, we demonstrate that geometry provides a powerful intrinsic control parameter. While the collective rate scales approximately proportionally with molecular area, increasing the footprint ratio between lying and standing configurations leads to order-of-magnitude accelerations due to enhanced vacancy creation and diffusion-assisted stabilization. Based on these results, we derive an explicit analytical expression for the collective reorientation rate constant that links temperature- and pressure-dependent microscopic rate constants to geometric parameters. The resulting formulation quantitatively reproduces the simulation results across kinetic regimes and provides transferable design principles for engineering lying-standing transition time scales at organic-inorganic interfaces.

Indexed as

collective rate lawskinetic Monte Carlo simulationslying-standing transitionsstructure-kinetics relationshipsurface diffusion dynamics

Identifiers

PMID42500221
PMCPMC13397434

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.