A Descriptor-Driven Thermodynamic Framework for Achieving Unidirectional Nucleation in 2D Material Epitaxy
Unidirectional nucleation is crucial for achieving wafer-sized single-crystal epitaxy of two-dimensional (2D) materials, yet it is fundamentally hindered by multidirectional nucleations resulting from symmetry mismatch-induced energy equivalence at the epilayer-substrate interfaces. Here, we propose a universal, hierarchical framework that integrates thermodynamic modeling, epitaxial descriptor construction, and substrate-step engineering to enable unidirectional nucleation and epitaxy across diverse 2D materials. Our thermodynamic model classifies 2D nucleation into edge-dominated and surface-dominated regimes, pinpointing that the latter can be controlled only when terrace steps are precisely aligned with the preferred epitaxial axis. A quantitative epitaxial descriptor based on lattice mismatch and interfacial atomic spacing is developed for screening optimal growth orientations for arbitrary 2D/substrate systems, eliminating the need for first-principles calculations. Applied to benchmark systems, this framework predicts that graphene and hexagonal boron nitride (<i>h</i>-BN) tolerate broad step directions, whereas molybdenum disulfide (MoS<sub>2</sub>) requires strict orientation engineering, in full agreement with experiments. This work establishes a general protocol for substrate-step engineering that promotes unidirectional nucleation and provides guidelines for wafer-scale single-crystal epitaxy of diverse 2D materials.
Authors
- Chunjin Ren (ORCID: https://orcid.org/0000-0003-4639-997X)
- Liang Ma (ORCID: https://orcid.org/0000-0003-4747-613X)
- Jinlan Wang (ORCID: https://orcid.org/0000-0002-4529-874X)
- Yilei Wu (ORCID: https://orcid.org/0000-0001-6756-1855)
- Qionghua Zhou (ORCID: https://orcid.org/0000-0002-7860-1514)
- Ruikang Dong (ORCID: https://orcid.org/0000-0002-5663-4243)
- Xiaoshu Gong (ORCID: https://orcid.org/0000-0003-0326-4880)
Institutions
- Suzhou Research Institute (CN)
- Southeast University (CN)
Publication Details
- Journal
- ACS Nano
- Published
- 2025-10-26
- DOI
- https://doi.org/10.1021/acsnano.5c12775
- Citations
- 1
- Primary Topic
- Graphene research and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.52