Inverse design of heterodeformations for strain soliton networks in bilayer 2D materials

Strain soliton networks strongly influence the structural and electronic properties of heterodeformed bilayer systems, yet their design remains challenging due to the high-dimensional heterodeformation space and the absence of a direct map between deformation and network geometry. In this work, we introduce a geometric framework that establishes a one-to-one mapping between heterodeformations and the geometry of the strain soliton network expressed as line vector-Burgers vector pairs. The admissible networks are constrained by topology dictated by the generalized stacking fault energy landscape. We show that the moiré Bravais lattice, corresponding to a uniform heterodeformation, alone is insufficient to characterize the interface: distinct heterodeformations can share identical moiré Bravais lattices while producing different soliton networks, reflecting a many-to-one mapping considering translational symmetry only. In contrast, the soliton network encodes the interfacial multilattice geometry, including topology and connectivity, not captured by the moiré Bravais lattice alone. The framework enables the direct construction of heterodeformations from target networks, providing a systematic route for inverse design of moiré interfaces beyond conventional twist-based approaches. Finally, we show that the framework enables the design of symmetry-broken soliton networks in bilayer graphene that exhibit anisotropic (tensorial) interfacial friction, demonstrating its potential for engineering superlubric interfaces.

Authors

Institutions

Publication Details

Journal
npj 2D Materials and Applications
Published
2026-10-28
DOI
https://doi.org/10.1038/s41699-026-00741-x
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inverse design of heterodeformations for strain soliton networks in bilayer 2D materials

Nikhil Chandra Admal, Md Tusher Ahmed
1 links
npj 2D Materials and Applications
Advanced Materials and Mechanics
article

Inverse design of heterodeformations for strain soliton networks in bilayer 2D materials

Nikhil Chandra Admal, Md Tusher Ahmed
article en

Abstract

Strain soliton networks strongly influence the structural and electronic properties of heterodeformed bilayer systems, yet their design remains challenging due to the high-dimensional heterodeformation space and the absence of a direct map between deformation and network geometry. In this work, we introduce a geometric framework that establishes a one-to-one mapping between heterodeformations and the geometry of the strain soliton network expressed as line vector-Burgers vector pairs. The admissible networks are constrained by topology dictated by the generalized stacking fault energy landscape. We show that the moiré Bravais lattice, corresponding to a uniform heterodeformation, alone is insufficient to characterize the interface: distinct heterodeformations can share identical moiré Bravais lattices while producing different soliton networks, reflecting a many-to-one mapping considering translational symmetry only. In contrast, the soliton network encodes the interfacial multilattice geometry, including topology and connectivity, not captured by the moiré Bravais lattice alone. The framework enables the direct construction of heterodeformations from target networks, providing a systematic route for inverse design of moiré interfaces beyond conventional twist-based approaches. Finally, we show that the framework enables the design of symmetry-broken soliton networks in bilayer graphene that exhibit anisotropic (tensorial) interfacial friction, demonstrating its potential for engineering superlubric interfaces.

npj 2D Materials and Applications
University of Illinois Urbana-Champaign (US), The University of Texas Rio Grande Valley (US)
National Science Foundation
Openalex Percentile: Top 24%
Advanced Materials and Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon