Evidence map›Paper›PMID 42129186›Full record

ArticleNature communications2026

Multipolar electric and magnetic contributions to sum-frequency generation spectra reveal biaxial interfacial water structure.

Louis Lehmann, Maximilian R Becker, Lucas Tepper, Alexander P Fellows, Álvaro Diaz Duque, Martin Thämer, Martin Wolf, Roland R Netz

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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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

8 authors.

Louis LehmannDepartment of Physics, Freie Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0009-5975-0993
Maximilian R BeckerDepartment of Physics, Freie Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-6460-1556
Lucas TepperDepartment of Physics, Freie Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-8403-5275
Alexander P FellowsFritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany.ORCID http://orcid.org/0000-0002-5885-8144
Álvaro Diaz DuqueFritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany.
Martin ThämerFritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany.ORCID http://orcid.org/0000-0002-9631-9280
Martin WolfFritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany.ORCID http://orcid.org/0000-0001-7226-9592
Roland R NetzDepartment of Physics, Freie Universität Berlin, Berlin, Germany. rnetz@physik.fu-berlin.de.ORCID http://orcid.org/0000-0003-0147-0162

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 1349
6 · The paper itself

Abstract

Liquid interfaces play central roles in biological and physicochemical processes. Sum-frequency-generation (SFG) spectroscopy is intrinsically interface-specific, but the insight gained from SFG spectra into molecular interfacial structure has been limited since spectral analysis is usually done within the electric-dipole approximation, neglecting higher-order multipole contributions. Here we introduce a general framework that includes electric and magnetic multipoles for calculating SFG spectra from molecular simulations, achieving quantitative agreement between predicted and experimental SFG spectra of the air-water interface. We show that the electric-dipole approximation breaks completely down in the water bending region and remains only qualitatively valid in the OH-stretch region. When accounting for multipole contributions, the analysis of the SFG bending band reveals pronounced biaxial water ordering in a triple-layer structure with a width of only about 0.8 nanometers. By resolving a fundamental limitation of the interpretation of SFG spectroscopy, our framework allows for the detailed extraction of interfacial molecular ordering from SFG spectra.

Identifiers

PMID42129186
PMCPMC13172427

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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.