journal article·2025-09-17

Plasticity Mechanisms in Nanostructured Cubic Boron Nitride: Internal Defects and Amorphous Layers

Ao Geng, Zhaorui Liu, Tengfei Xu, Yan Zhang, Dominik Legut, Ruifeng Zhang

ACS Applied Materials & Interfaces· Volume 17· Issue 37
Publisher page

Abstract

Nanostructured cubic boron nitride (NS-cBN) has attracted significant attention due to its high hardness and excellent thermal stability, yet a systematic strategy to balance strength and toughness through atomically structural design remains elusive. Here, we integrate plasticity theory with large-scale atomistic simulations to elucidate the size-dependent roles of internal defects, i.e., twin boundaries (TBs), stacking faults (SFs), and dislocation networks, and amorphous interfacial layers (AILs) in NS-cBN. In samples containing TBs and SFs, we demonstrate uniquely that the competition between hard slip modes (e.g., dislocation penetration) and soft slip modes (e.g., sliding parallel to defects), together with grain-boundary sliding, governs the scaling of strength and crack-initiation strain. Specially, a cross-slip of 1/2[110] screw dislocations emerges as the dominant plastic mechanism penetrating planar defects, while high-density SFs leverage stress concentration to activate the destacking fault mechanism, thereby improving crack-initiation strain with high strength. Introducing pre-existing dislocation networks shifts deformation from a grain-boundary-dominated to a dislocation-dominated regime, achieving a 76% increase in failure strain (up to 15% compressive strain) and a metal-like plastic plateau at a dislocation density of 0.115 nm –2 . Moreover, a 0.5 nm-thick AIL is found to simultaneously enhance strength and toughness by homogenizing stress, suppressing shear bands, and crack-initiation; further thickening of the AIL leads to softening, while increasing its density or bond strength amplifies its reinforcing effect. By synergistically tailoring internal defects and AILs, we achieve NS-cBN materials that combine high strength with high toughness, and thereby, we establish general design principles to guide the development of next-generation superhard materials.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Boron and Carbon Nanomaterials Research · Diamond and Carbon-based Materials Research · Metal and Thin Film Mechanics

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

Affiliations

School of Materials Science and Engineering

Beihang University

Center for Integrated Computational Materials Engineering (International Research Institute for Multidisciplinary Science) and Key Laboratory of High-Temperature Structural Materials & Coatings Technology (Ministry of Industry and Information Technology)

IT4Innovations, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava CZ-70800, Czech Republic

Department of Condensed Matter Physics, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 3, Prague 2 121 16, Czech Republic

Funding

National Key Research and Development Program of China · Ministerstvo ?kolstv?, Ml?de?e a Telov?chovy · Fundamental Research Funds for the Central Universities · Thousand Young Talents Program of China

References (70)

Show source-provided references
1. 10.1016/j.diamond.2011.10.01310.1016/j.diamond.2011.10.013 ↗
2. 10.1103/PhysRevLett.102.01550610.1103/PhysRevLett.102.015506 ↗
3. 10.1016/j.diamond.2004.03.00210.1016/j.diamond.2004.03.002 ↗
4. 10.1038/nature1172810.1038/nature11728 ↗
5. 10.1038/nature1338110.1038/nature13381 ↗
6. 10.1016/j.carbon.2017.04.05810.1016/j.carbon.2017.04.058 ↗
7. 10.1002/adma.20110436110.1002/adma.201104361 ↗
8. 10.1002/adma.20230803010.1002/adma.202308030 ↗
9. 10.1103/PhysRevB.80.23340110.1103/PhysRevB.80.233401 ↗
10. 10.1103/PhysRevB.83.15545210.1103/PhysRevB.83.155452 ↗
11. 10.1103/PhysRevLett.108.25550210.1103/PhysRevLett.108.255502 ↗
12. 10.1103/PhysRevB.106.L06010110.1103/PhysRevB.106.L060101 ↗
13. 10.1021/nl060208410.1021/nl0602084 ↗
14. 10.1063/1.271127710.1063/1.2711277 ↗
15. 10.1038/3532810.1038/35328 ↗
16. 10.1126/science.116764110.1126/science.1167641 ↗
17. 10.1038/s41586-022-04863-210.1038/s41586-022-04863-2 ↗
18. 10.1038/s41563-024-02111-810.1038/s41563-024-02111-8 ↗
19. 10.1103/PhysRevB.110.13410710.1103/PhysRevB.110.134107 ↗
20. 10.1063/1.496124010.1063/1.4961240 ↗
21. 10.1038/ncomms644710.1038/ncomms6447 ↗
22. 10.1103/PhysRevB.101.01410410.1103/PhysRevB.101.014104 ↗
23. 10.1016/j.carbon.2020.08.03610.1016/j.carbon.2020.08.036 ↗
24. 10.1021/acsami.9b1972510.1021/acsami.9b19725 ↗
25. 10.1021/acsami.0c1527510.1021/acsami.0c15275 ↗
26. 10.1038/ncomms596510.1038/ncomms5965 ↗
27. 10.1038/s41524-019-0256-210.1038/s41524-019-0256-2 ↗
28. 10.1016/j.matt.2020.02.01110.1016/j.matt.2020.02.011 ↗
29. 10.1038/s41467-022-30260-410.1038/s41467-022-30260-4 ↗
30. 10.1016/j.mattod.2024.11.01410.1016/j.mattod.2024.11.014 ↗
31. 10.1126/science.adp055910.1126/science.adp0559 ↗
32. 10.1016/j.actamat.2022.11841210.1016/j.actamat.2022.118412 ↗
33. 10.1038/nature2169110.1038/nature21691 ↗
34. 10.1021/acs.nanolett.3c0384810.1021/acs.nanolett.3c03848 ↗
35. 10.1038/s41563-022-01425-910.1038/s41563-022-01425-9 ↗
36. 10.1016/j.matt.2025.10200010.1016/j.matt.2025.102000 ↗
37. 10.1021/acsnano.4c1279010.1021/acsnano.4c12790 ↗
38. 10.1016/j.tsf.2004.11.11410.1016/j.tsf.2004.11.114 ↗
39. 10.1103/PhysRevB.67.03542310.1103/PhysRevB.67.035423 ↗
40. 10.1126/science.107455110.1126/science.1074551 ↗
41. 10.1103/PhysRevB.72.03540210.1103/PhysRevB.72.035402 ↗
42. 10.20517/microstructures.2023.5410.20517/microstructures.2023.54 ↗
43. 10.1038/nature0892910.1038/nature08929 ↗
44. 10.1126/science.aal516610.1126/science.aal5166 ↗
45. 10.1038/natrevmats.2016.1910.1038/natrevmats.2016.19 ↗
46. 10.1016/j.actamat.2009.12.01310.1016/j.actamat.2009.12.013 ↗
47. 10.1038/s41467-021-21939-110.1038/s41467-021-21939-1 ↗
48. 10.1002/adfm.20221469610.1002/adfm.202214696 ↗
49. 10.1002/adma.20200261910.1002/adma.202002619 ↗
50. 10.1038/s41467-023-40580-810.1038/s41467-023-40580-8 ↗
51. 10.1039/D0MH02033H10.1039/D0MH02033H ↗
52. 10.1038/s41586-024-07958-010.1038/s41586-024-07958-0 ↗
53. 10.1515/crll.1908.134.19810.1515/crll.1908.134.198 ↗
54. 10.1016/j.carbon.2016.08.02410.1016/j.carbon.2016.08.024 ↗
55. 10.1006/jcph.1995.103910.1006/jcph.1995.1039 ↗
56. 10.1103/PhysRevB.108.02410810.1103/PhysRevB.108.024108 ↗
57. 10.1103/PhysRevB.49.1634910.1103/PhysRevB.49.16349 ↗
58. 10.1103/PhysRevB.86.11541010.1103/PhysRevB.86.115410 ↗
59. 10.1016/j.commatsci.2022.11155110.1016/j.commatsci.2022.111551 ↗
60. 10.1063/1.481232310.1063/1.4812323 ↗
61. 10.1088/0256-307X/38/5/05610110.1088/0256-307X/38/5/056101 ↗
62. 10.1103/PhysRevA.31.169510.1103/PhysRevA.31.1695 ↗
63. 10.1103/PhysRevA.34.249910.1103/PhysRevA.34.2499 ↗
64. 10.1016/j.carbon.2018.04.05210.1016/j.carbon.2018.04.052 ↗
65. 10.1016/j.commatsci.2021.11102710.1016/j.commatsci.2021.111027 ↗
66. 10.1088/0965-0393/20/8/08500710.1088/0965-0393/20/8/085007 ↗
67. 10.1016/j.cpc.2019.07.02010.1016/j.cpc.2019.07.020 ↗
68. 10.1016/j.cpc.2017.07.02610.1016/j.cpc.2017.07.026 ↗
69. 10.1016/j.cpc.2016.04.00110.1016/j.cpc.2016.04.001 ↗
70. 10.1103/PhysRevLett.87.16550710.1103/PhysRevLett.87.165507 ↗