Evidence map›Paper›PMID 42889539›Full record

ArticleSmall science2026

Phonon-Modulated Kerr Nonlinearity in Ultrathin 2

Shaoxiang Sheng, Yang Luo, Chenyu Wang, Sayooj Sateesh, Yaxian Wang, Marko Burkhard, Sayantan Patra, Bhumika Chauhan, Ashish Arora, Sheng Meng and 1 more

Abstract read
In one paragraph

Article in Small science, 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

11 authors.

Shaoxiang ShengMax Planck Institute for Solid State Research Stuttgart Germany.
Yang LuoMax Planck Institute for Solid State Research Stuttgart Germany.
Chenyu WangBeijing National Laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of Sciences Beijing China.
Sayooj SateeshMax Planck Institute for Solid State Research Stuttgart Germany.ORCID https://orcid.org/0009-0006-6334-1939
Yaxian WangBeijing National Laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of Sciences Beijing China.
Marko BurkhardMax Planck Institute for Solid State Research Stuttgart Germany.ORCID https://orcid.org/0000-0002-8784-2758
Sayantan PatraIndian Institute of Science Education and Research Pune India.
Bhumika ChauhanIndian Institute of Science Education and Research Pune India.
Ashish AroraIndian Institute of Science Education and Research Pune India.ORCID https://orcid.org/0000-0001-7915-6523
Sheng MengBeijing National Laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of Sciences Beijing China.
Manish GargMax Planck Institute for Solid State Research Stuttgart Germany.ORCID https://orcid.org/0000-0002-1744-7445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlling nonequilibrium responses in optically driven quantum materials is essential for advancing applications in energy conversion, ultrafast electronics, and quantum computation. Nonlinear optical spectroscopy serves as a powerful tool to investigate ultrafast electron and phonon dynamics in these systems; however, conventional nonlinear approaches often require intense laser pulses and typically encounter a strong background. Here, we introduce a phase-sensitive nonlinear spectroscopic technique that operates at low pulse energies (~10 pJ) and enables real-time monitoring and active control of coherent phonons in few-layer (three to five layers thick) 2

Indexed as

2H‐MoTe2coherent phononscross‐phase modulationdual‐pump controlKerr nonlinearity

Identifiers

PMID42889539
PMCPMC13669667

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.