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Hyper-Range Amorphization Unlocks Superior Damage Tolerance in Alloys

  • Jinliang Du
  • , Shukuan Guo
  • , Hangqi Feng
  • , Changhong Linghu
  • , Weijie Li*
  • , Pei Wang
  • , Ying Li*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

2 Downloads (CityUHK Scholars)

Abstract

Shear bands dictate the failure mechanisms of alloys across various strain rates and limit the damage tolerance of the alloy. While short-range amorphization has the potential to mitigate shear effects, it has thus far been confined to the nanoscale. Here, we extend amorphization to the micrometer scale, fundamentally replacing shear-dominated failure in multi-principal element alloy micropillars. We implement continuous compression strain-training from low to high strain rates, generating a top-down high-density dislocation gradient that drives the formation of a topological disorder network, extending over one-third of the micropillar height, which we define as hyper-range amorphization. Within the amorphous bands, atoms exhibit dynamic disorder, and the lattice rearranges and recovers, dissipating shear stress. The alloy achieves an ultimate compressive strength of ceramic level (~ 6.5 GPa), while maintaining ~59.1% plasticity. This work reveals a strain engineering-based mechanical mechanism for extending amorphization, establishing it as a viable pathway to enhancing the structural stability and energy dissipation capacity of alloys. © The Author(s) 2025.
Original languageEnglish
Article number10390
Number of pages14
JournalNature Communications
Volume16
Online published24 Nov 2025
DOIs
Publication statusPublished - 2025

Funding

Y.L. acknowledges financial support from the National Key R&D Program of China (No. 2022YFB3806100) and the National Natural Science Foundation of China (grant Nos. 52171290 and 52225108). W.L. acknowledges financial support from the National Key R&D Program of China (No. 2022YFB3706101) and the National Natural Science Foundation of China (grant number 12472209). J.D. is grateful for the financial support from the China Scholarship Council (grant number 202306950090). J.D. would like to express sincere gratitude to Prof. Zhixin Huang, Dr. Siyuan Wei, Dr. Zhongji Sun, Dr. Jinming Wang, Dr. Gaoliang Yang, and Prof. Yunli Feng for their valuable discussions and insightful contributions during this work. J.D. and S.G. would like to thank the Al+ High Performance Computing Center of ZJU-ICI. The authors would like to thank the Springer Nature Language Editor for reviewing and revising the paper (verification code 83C3-37E2-B7B6-7837-A144).

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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