Deep‐Learning Aided Atomic‐Scale Observation of Anisotropic Melting of the Charge Density Wave in TaS <sub>2</sub>
Charge density wave (CDW) transitions involve intricate coupling between electronic and lattice dynamics, direct visualization of atomic rearrangements during these processes is hindered by experimental limitations. Here, AI-augmented scanning transmission electron microscopy (STEM) combined with differential phase contrast (DPC) imaging is employed to resolve the anisotropic melting dynamics of the nearly commensurate CDW (NC-CDW) phase in 1T-TaS<sub>2</sub>. By integrating deep learning-based denoising and atomic position analysis, the evolution of interatomic distances and domain wall migration during the NC-to-incommensurate CDW (IC-CDW) transition under controlled electron beam irradiation is directly tracked. The results reveal that melting initiates at domain boundaries, propagating inward with pronounced anisotropy: intralayer melting progresses ≈3.8 times faster than interlayer melting. Concurrent DPC imaging uncovers electric field variations at phase interfaces, attributed to periodic lattice distortion-induced band reconstruction via the Peierls mechanism. These findings establish a methodology for atomic-scale manipulation of CDW states and provide critical insights for designing TaS<sub>2</sub>-based multifunctional devices with tailored electronic properties.
Authors
- Yuhe Wang
- Ze Hua (ORCID: https://orcid.org/0009-0009-1681-263X)
- Shuangquan Qu (ORCID: https://orcid.org/0009-0006-0651-9550)
- Hesong Li
- Weikang Dong (ORCID: https://orcid.org/0000-0001-8972-7051)
- Yaping Zhou (ORCID: https://orcid.org/0000-0003-4398-1403)
- Ruiwen Shao (ORCID: https://orcid.org/0000-0002-3082-0486)
- Xiaoxue Chang (ORCID: https://orcid.org/0000-0002-9860-0770)
- Lixin Dong (ORCID: https://orcid.org/0000-0002-8816-4944)
- Ying Fu (ORCID: https://orcid.org/0000-0002-6677-694X)
- Xiaolong Xu (ORCID: https://orcid.org/0000-0003-2657-9658)
- Lixia Bao
- Yan Li (ORCID: https://orcid.org/0000-0002-4361-3582)
Institutions
- Beijing Institute of Technology (CN)
- City University of Hong Kong (HK)
- Shanghai Institute of Measurement and Testing Technology (CN)
- Xian Mechanical & Electric Institute (China) (CN)
- Beijing Academy of Science and Technology (CN)
- Beijing Advanced Sciences and Innovation Center (CN)
- Ministry of Industry and Information Technology (CN)
Publication Details
- Journal
- Small
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1002/smll.202507496
- Citations
- 1
- Primary Topic
- Perovskite Materials and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.73