Evidence map›Paper›PMID 41732003›Full record

ReviewSmall (Weinheim an der Bergstrasse, Germany)2026

Precision Local Strain Engineering in 2D Semiconductors and Their van der Waals Heterostructures.

Byeong Chan Kim, Yoona Kim, Gwan-Hyoung Lee

Abstract readReview
In one paragraph

Review in Small (Weinheim an der Bergstrasse, Germany), 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

3 authors.

Byeong Chan KimDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.
Yoona KimDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.
Gwan-Hyoung LeeDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-3028-867X

Funding

Institute of Applied PhysicsInstitute of Engineering ResearchInter-University Semiconductor Research CenterMinistry of Science and ICT, South Korea RS-2025 23323223Ministry of Trade, Industry and Energy RS-2023-00301731Ministry of Trade, Industry & EnergyNational Research Foundation of KoreaResearch Institute of Advanced MaterialsSOFT Foundry InstituteTechnology Innovation Program RS-2023-00301731
6 · The paper itself

Abstract

Two-dimensional (2D) semiconductors and their van der Waals (vdW) heterostructures are readily tuned by strain, an approach known as straintronics, owing to their atomically thin, vdW-bonded layered structures. Small external or environmental perturbations induce strain in adjacent 2D semiconductors, yet sustaining large elastic deformations without fracture. This makes strain a uniquely powerful lever for reconfiguring lattice structure and deterministically tuning band structure, carrier transport, and excitonic responses. In this review, we survey experimental methodologies for quantifying and mapping local strain in 2D semiconductors, and summarize state-of-the-art strategies for imparting strain, including substrate-mediated deformation, patterned stressors, and interlayer-interaction-driven strain in stacked vdW heterostructures. Building on these foundations, we discuss how advances in precise local strain control are informing new device concepts and outline pathways for integrating strain programmability into scalable architectures. We conclude by identifying key challenges and opportunities toward robust, wafer-compatible deployment of local strain engineering in 2D semiconductor technologies.

Indexed as

2D semiconductorslocal strainstrain characterizationstraintronicsvan der Waals heterostructures

Identifiers

PMID41732003
PMCPMC13054465

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.