Memorization of Strain-Induced Moiré Patterns in Vertical van der Waals Materials

Twisting layers in van der Waals (vdW) materials have traditionally produced moiré patterns but often suffer from alignment issues and nonuniformity due to the sensitivity of twist angles. Applying strain alone can also generate these patterns, eliminating the need for interlayer rotation and enabling controlled, reproducible moiré formation. We present the mechanistic principles governing the evolution of strain-induced moiré patterns in vertically stacked graphene through atomistic simulations. By analyzing local strain distribution, we identify a three-stage interlayer slippage process responsible for pattern formation. Our analyses reveal that these triangular moiré domains are stable and retained upon unloading, ensuring consistent and reproducible pattern formation even after strain removal. Additionally, we demonstrate that this strain history can be utilized to reapply load in a step-by-step process to achieve uniform moiré domains without requiring higher strain magnitudes. This approach provides a robust mechanism for designing wafer-scale quantum materials with uniform and reproducible moiré superlattices.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-03-04
DOI
https://doi.org/10.1021/acsami.4c22462
Citations
4
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
2.07

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article

Memorization of Strain-Induced Moiré Patterns in Vertical van der Waals Materials

Stephen M. Wu, Hesam Askari, Aditya Dey, Nazmul Hasan
4 citations
ACS Applied Materials & Interfaces
Machine Learning in Materials Science
2.07
article

Memorization of Strain-Induced Moiré Patterns in Vertical van der Waals Materials

Stephen M. Wu, Hesam Askari, Aditya Dey, Nazmul Hasan
article en
4 citations

Abstract

Twisting layers in van der Waals (vdW) materials have traditionally produced moiré patterns but often suffer from alignment issues and nonuniformity due to the sensitivity of twist angles. Applying strain alone can also generate these patterns, eliminating the need for interlayer rotation and enabling controlled, reproducible moiré formation. We present the mechanistic principles governing the evolution of strain-induced moiré patterns in vertically stacked graphene through atomistic simulations. By analyzing local strain distribution, we identify a three-stage interlayer slippage process responsible for pattern formation. Our analyses reveal that these triangular moiré domains are stable and retained upon unloading, ensuring consistent and reproducible pattern formation even after strain removal. Additionally, we demonstrate that this strain history can be utilized to reapply load in a step-by-step process to achieve uniform moiré domains without requiring higher strain magnitudes. This approach provides a robust mechanism for designing wafer-scale quantum materials with uniform and reproducible moiré superlattices.

ACS Applied Materials & InterfacesVol. 17(10)
University of Rochester (US)
National Science Foundation
Openalex Percentile: Top 14%
Machine Learning in Materials Science
2.07
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Memorization of Strain-Induced Moiré Patterns in Vertical van der Waals Materials — Stephen M. Wu, Hesam Askari, et al. · ACS Applied Materials & Interfaces (2025) | TGRS Research Map | TGRS