Evidence map›Paper›PMID 40838507›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Nonlinear Optical Response in Layer-Stacked Gallenene with Ferroelectric Polarization.

Muhammad Yunusa, Andrew K Schulz, Tim Parker, Felix Schneider, Kenan Elibol, Marius Predel, Jana Dzíbelová, Michel Rebmann, Taylan Gorkan, Jiahao Ye and 8 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

18 authors.

Muhammad YunusaPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.ORCID https://orcid.org/0000-0002-3176-4332
Andrew K SchulzMax Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.ORCID https://orcid.org/0000-0001-8007-5157
Tim ParkerInstitute for Physical and Theoretical Chemistry, University of Tübingen and LISA+, 72076, Tübingen, Germany.
Felix SchneiderInstitute for Physical and Theoretical Chemistry, University of Tübingen and LISA+, 72076, Tübingen, Germany.
Kenan ElibolMax Planck Institute for Solid State Research, 70569, Stuttgart, Germany.
Marius PredelFaculty of Physics, University of Vienna, Boltzmanngasse 5, Vienna, 1090, Austria.
Jana DzíbelováFaculty of Physics, University of Vienna, Boltzmanngasse 5, Vienna, 1090, Austria.
Michel RebmannInstitute for Physical and Theoretical Chemistry, University of Tübingen and LISA+, 72076, Tübingen, Germany.
Taylan GorkanUNAM-National Nanotechnology Research Center and Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, 06800, Turkey.
Jiahao YeMultifunctional Materials and Composites (MMC) Laboratory, Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK.
Jin-Chong TanMultifunctional Materials and Composites (MMC) Laboratory, Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK.
Wenbin KangDepartment of Mechanical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, 99907, Hong Kong.
Peter A van AkenMax Planck Institute for Solid State Research, 70569, Stuttgart, Germany.
Alfred J MeixnerInstitute for Physical and Theoretical Chemistry, University of Tübingen and LISA+, 72076, Tübingen, Germany.
Engin DurgunUNAM-National Nanotechnology Research Center and Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, 06800, Turkey.
Jani KotakoskiFaculty of Physics, University of Vienna, Boltzmanngasse 5, Vienna, 1090, Austria.
Dai ZhangInstitute for Physical and Theoretical Chemistry, University of Tübingen and LISA+, 72076, Tübingen, Germany.
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.

Funding

Deutsche Forschungsgemeinschaft ME 1600/21-1Deutsche Forschungsgemeinschaft ZH 279/13-1Deutsche Forschungsgemeinschaft ZH 279/16-1Max-Planck-Gesellschaft
6 · The paper itself

Abstract

Polar metals are very rare and challenging to realize due to the incompatibility of ferroelectricity and metallicity. Mobile electrons in polar metals effectively screen the static electric field and dipoles. Recent studies show that 2D van der Waals metals without an inversion center can have polar order due to specific layer stacking. However, room temperature reversible ferroelectricity and nonlinear second harmonic generation in non-centrosymmetric polar metals remain unrealized. Here, the experimental realization of AB-stacked gallenene (a100) nanocrystals with a room temperature ferroelectric polarization in a liquid gallium environment is reported. Using first-principles calculations, the origin of spontaneous polarization (Ps) due to a broken symmetry in multilayer gallenene structures, resulting in P1 (space group) and C1 (point group) symmetry is explained. The reversible polarization switching is characterized using piezoresponse force microscopy. This results demonstrate the reversible nonlinear optical response of the AB-stacked gallenene crystal through second harmonic generation (SHG) microscopy. The intensities of SHG signals are controlled via angular rotations and thermal heating, which indicate a phase transition at high temperatures. Furthermore, electrical perturbation enables the tunability of SHG intensity. Bipolar resistive switching is demonstrated in a two-terminal device. These findings open avenues for advancements in 2D ferroelectricity, piezoelectricity, and topological superconductivity.

Indexed as

2D galleneneferroelectricityliquid metalphase transitionsecond harmonic generation

Identifiers

PMID40838507
PMCPMC12592908

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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.