Evidence map›Paper›PMID 42674460›Full record

ArticleACS nano2026

Ultrafast Switchable Polar and Magnetic Orders by Nonlinear Light-Matter Interaction.

Haoyu Wei, Daniel Kaplan, Haowei Xu, Ju Li

Abstract read
In one paragraph

Article in ACS nano, 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

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

4 authors.

Haoyu WeiDepartment of Applied Physics, Yale University, New Haven, Connecticut06520, United States.ORCID 0000-0003-3817-5589
Daniel KaplanCenter for Materials Theory, Department of Physics and Astronomy, Rutgers University, Piscataway, New Jersey08854, United States.ORCID 0000-0002-3957-0030
Haowei XuDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts02139, United States.ORCID 0000-0002-5360-5738
Ju LiDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts02139, United States.ORCID 0000-0002-7841-8058

Funding

National Science Foundation (NSF) PHY-2210452National Science Foundation (NSF) PHY-2309135Rutgers, The State University of New Jersey NATsinghua University NA
6 · The paper itself

Abstract

An outstanding challenge in materials science and physics is the harnessing of light for switching ferroic orders in, e.g., ferroelectrics. Here, we propose a mechanism through which electrons in few-layer 2D materials excited with above-bandgap light cause ionic structural transitions. Using perturbation theory within a many-body formalism, we show that the ionic coupling is mediated by a resonant change in electronic occupation functions, ultimately governed by the quantum geometric tensor (QGT) of the ground state. Furthermore, we show that such transitions are generally accompanied by multiferroic order switching. We demonstrate three examples of light-induced structural and polarization switching under this mechanism using first-principles calculations on bilayer CrI3, MoTe2, and trilayer 3R-MoSe2. We show that the three materials can switch between atomic stackings with a light intensity threshold of only ∼101 GW/cm2, a value 2-3 orders of magnitude lower than that required by direct light-ion coupling thanks to the superior efficiency of resonant light-electron coupling. Since such switching is fast, highly controllable, contactless, and reversible, it is promising for use in optically controlled nonvolatile memory, nanophotonics, and polar electronic devices.

Indexed as

multiferroicsnonlinear light–matter interactionquantum geometrysliding ferroelectricitytwo-dimensional materialsultrafast switching

Identifiers

PMID42674460
PMCPMC13557441

What OpenQuestion holds

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Registered trials

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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.