journal article·2025-11

Deep‐Learning Aided Atomic‐Scale Observation of Anisotropic Melting of the Charge Density Wave in TaS 2

Ze Hua, Shuangquan Qu, Li Yan, Weikang Dong, Yaping Zhou, Hesong Li, Xiaoxue Chang, Lixia Bao, Yuhe Wang, Fu Ying, Xiaolong Xu, Lixin Dong, Ruiwen Shao

Small· Volume 21· Issue 45
Publisher page

Abstract

Abstract 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 2 . 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 2 ‐based multifunctional devices with tailored electronic properties.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Organic and Molecular Conductors Research · 2D Materials and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Beijing Advanced Innovation Center for Intelligent Robots and Systems and School of Medical Technology Beijing Institute of Technology Beijing 100081 China

Analysis & Testing Center Beijing Institute of Technology Beijing 102488 China

School of Integrated Circuits and Electronics, MIIT Key Laboratory for Low‐Dimensional Quantum Structure and Devices Beijing Institute of Technology Beijing 100081 China

Rongtong Resources (Hainan) Limited Liability Company Xi'an Branch Xian 710000 China

School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

Department of Biomedical Engineering City University of Hong Kong Kowloon Tong Hong Kong 999077 China

Funding

National Natural Science Foundation of China · Key Technologies Research and Development Program

References (73)

Show source-provided references
1. 10.1002/adma.20241392610.1002/adma.202413926 ↗
2. 10.1126/science.abd277410.1126/science.abd2774 ↗
3. 10.1038/s41467-023-41780-y10.1038/s41467-023-41780-y ↗
4. 10.1021/acs.nanolett.2c0111610.1021/acs.nanolett.2c01116 ↗
5. 10.1002/adma.20170139210.1002/adma.201701392 ↗
6. 10.1080/0001873750010139110.1080/00018737500101391 ↗
7. 10.1103/PhysRevB.76.04510310.1103/PhysRevB.76.045103 ↗
8. 10.1103/PhysRevB.87.02050610.1103/PhysRevB.87.020506 ↗
9. 10.1103/PhysRevB.78.20110110.1103/PhysRevB.78.201101 ↗
10. 10.34133/ultrafastscience.004110.34133/ultrafastscience.0041 ↗
11. 10.1103/RevModPhys.60.112910.1103/RevModPhys.60.1129 ↗
12. 10.1103/PhysRevB.107.02410110.1103/PhysRevB.107.024101 ↗
13. 10.1103/PhysRevB.105.03512010.1103/PhysRevB.105.035120 ↗
14. 10.1021/acsnano.8b0575610.1021/acsnano.8b05756 ↗
15. 10.1126/sciadv.aas966010.1126/sciadv.aas9660 ↗
16. 10.1103/PhysRevB.94.20110810.1103/PhysRevB.94.201108 ↗
17. 10.1002/adma.20241095010.1002/adma.202410950 ↗
18. 10.1002/adma.20180007410.1002/adma.201800074 ↗
19. 10.1038/s41586-022-04935-310.1038/s41586-022-04935-3 ↗
20. 10.1088/1674-1056/28/5/05850410.1088/1674-1056/28/5/058504 ↗
21. 10.1038/ncomms1095610.1038/ncomms10956 ↗
22. 10.1126/sciadv.aau550110.1126/sciadv.aau5501 ↗
23. 10.1039/D1CS00236H10.1039/D1CS00236H ↗
24. 10.1002/smll.20230271310.1002/smll.202302713 ↗
25. 10.1021/acs.chemrev.3c0093110.1021/acs.chemrev.3c00931 ↗
26. 10.1126/science.ads268810.1126/science.ads2688 ↗
27. 10.1038/s41467-022-31953-610.1038/s41467-022-31953-6 ↗
28. 10.1063/5.021928710.1063/5.0219287 ↗
29. 10.1103/PhysRevB.98.17411310.1103/PhysRevB.98.174113 ↗
30. 10.1038/s41467-019-11981-510.1038/s41467-019-11981-5 ↗
31. 10.1103/PhysRevMaterials.7.06400510.1103/PhysRevMaterials.7.064005 ↗
32. Singh M. · Phys. Rev. B · 2022 · 106
33. 10.1103/PhysRevB.99.17411310.1103/PhysRevB.99.174113 ↗
34. 10.1021/acsnano.1c0301210.1021/acsnano.1c03012 ↗
35. 10.1103/PhysRevB.98.19542510.1103/PhysRevB.98.195425 ↗
36. 10.1007/s12274-023-5876-710.1007/s12274-023-5876-7 ↗
37. 10.1073/pnas.151209211210.1073/pnas.1512092112 ↗
38. 10.1021/acs.nanolett.3c0055610.1021/acs.nanolett.3c00556 ↗
39. 10.1103/PhysRevB.99.02410110.1103/PhysRevB.99.024101 ↗
40. 10.1080/21663831.2024.239603310.1080/21663831.2024.2396033 ↗
41. 10.1080/21663831.2023.227859710.1080/21663831.2023.2278597 ↗
42. 10.1080/21663831.2023.225532110.1080/21663831.2023.2255321 ↗
43. 10.1126/science.116151710.1126/science.1161517 ↗
44. 10.1021/acs.nanolett.9b0359610.1021/acs.nanolett.9b03596 ↗
45. 10.1021/acs.nanolett.4c0447210.1021/acs.nanolett.4c04472 ↗
46. 10.1021/jacs.4c0219810.1021/jacs.4c02198 ↗
47. 10.1038/s41563-022-01461-510.1038/s41563-022-01461-5 ↗
48. 10.1016/j.matt.2023.02.00110.1016/j.matt.2023.02.001 ↗
49. 10.1088/0256-307X/34/8/08610110.1088/0256-307X/34/8/086101 ↗
50. 10.1038/nphys326710.1038/nphys3267 ↗
51. 10.1021/acsnano.1c0301210.1021/acsnano.1c03012 ↗
52. 10.1038/s41699-020-0145-z10.1038/s41699-020-0145-z ↗
53. 10.1007/s40042-023-00704-110.1007/s40042-023-00704-1 ↗
54. 10.1103/PhysRevB.102.22450310.1103/PhysRevB.102.224503 ↗
55. 10.1016/j.micron.2023.10348210.1016/j.micron.2023.103482 ↗
56. 10.1016/j.micron.2019.01.00510.1016/j.micron.2019.01.005 ↗
57. 10.1016/j.micromeso.2023.11283510.1016/j.micromeso.2023.112835 ↗
58. 10.1016/j.jnucmat.2018.10.01810.1016/j.jnucmat.2018.10.018 ↗
59. 10.1021/nl400747910.1021/nl4007479 ↗
60. 10.1002/adma.20170728110.1002/adma.201707281 ↗
61. 10.1002/smll.20230192610.1002/smll.202301926 ↗
62. 10.1016/j.nimb.2020.10.01710.1016/j.nimb.2020.10.017 ↗
63. 10.1088/0022-3719/10/9/01610.1088/0022-3719/10/9/016 ↗
64. 10.1557/JMR.2005.024210.1557/JMR.2005.0242 ↗
65. 10.1103/PhysRevB.83.11340810.1103/PhysRevB.83.113408 ↗
66. 10.1103/PhysRevLett.116.13550410.1103/PhysRevLett.116.135504 ↗
67. 10.1149/2.0251602jss10.1149/2.0251602jss ↗
68. 10.1038/s44160-024-00501-z10.1038/s44160-024-00501-z ↗
69. 10.1002/smll.20231163510.1002/smll.202311635 ↗
70. 10.1038/s41586-021-04254-z10.1038/s41586-021-04254-z ↗
71. 10.1021/acs.nanolett.1c0163610.1021/acs.nanolett.1c01636 ↗
72. 10.1038/nphys233710.1038/nphys2337 ↗
73. 10.1016/j.ultramic.2022.11353810.1016/j.ultramic.2022.113538 ↗