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Li F, Zhang Z, Liu H, Zhu W, Wang T, Park M, Zhang J, Bönninghoff N, Feng X, Zhang H, Luan J, Wang J, Liu X, Chang T, Chu JP, Lu Y, Liu Y, Guan P, Yang Y. Oxidation-induced superelasticity in metallic glass nanotubes. NATURE MATERIALS 2024; 23:52-57. [PMID: 38052935 DOI: 10.1038/s41563-023-01733-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 10/20/2023] [Indexed: 12/07/2023]
Abstract
Although metallic nanostructures have been attracting tremendous research interest in nanoscience and nanotechnologies, it is known that environmental attacks, such as surface oxidation, can easily initiate cracking on the surface of metals, thus deteriorating their overall functional/structural properties1-3. In sharp contrast, here we report that severely oxidized metallic glass nanotubes can attain an ultrahigh recoverable elastic strain of up to ~14% at room temperature, which outperform bulk metallic glasses, metallic glass nanowires and many other superelastic metals hitherto reported. Through in situ experiments and atomistic simulations, we reveal that the physical mechanisms underpinning the observed superelasticity can be attributed to the formation of a percolating oxide network in metallic glass nanotubes, which not only restricts atomic-scale plastic events during loading but also leads to the recovery of elastic rigidity on unloading. Our discovery implies that oxidation in low-dimensional metallic glasses can result in unique properties for applications in nanodevices.
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Affiliation(s)
- Fucheng Li
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
- Institute of Physics, Chinese Academy of Sciences, Beijing, China
- Songshan Lake Materials Laboratory, Dongguan, China
| | - Zhibo Zhang
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Huanrong Liu
- Beijing Computational Science Research Center, Beijing, China
| | - Wenqing Zhu
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Tianyu Wang
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Minhyuk Park
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Jingyang Zhang
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Niklas Bönninghoff
- Department of Material Science and Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Xiaobin Feng
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Hongti Zhang
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Junhua Luan
- Department of Materials Science and Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Jianguo Wang
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
| | - Xiaodi Liu
- College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China
| | - Tinghao Chang
- Department of Material Science and Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Jinn P Chu
- Department of Material Science and Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Yang Lu
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China
- Department of Mechanical Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong, China
| | - Yanhui Liu
- Institute of Physics, Chinese Academy of Sciences, Beijing, China.
- Songshan Lake Materials Laboratory, Dongguan, China.
| | - Pengfei Guan
- Beijing Computational Science Research Center, Beijing, China.
| | - Yong Yang
- Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China.
- Department of Materials Science and Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China.
- Department of System Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China.
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Wang H, Li M. Estimate of the maximum strength of metallic glasses from finite deformation theory. PHYSICAL REVIEW LETTERS 2013; 111:065507. [PMID: 23971588 DOI: 10.1103/physrevlett.111.065507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Indexed: 06/02/2023]
Abstract
Maximum strength sets the limit of a material's intrinsic resistance to permanent deformation. Its significance, however, lies not in the highest strength value that a solid can possibly achieve, but rather in how this quantity is degraded, from which one could decipher the underlying mechanisms of yielding in a real material. A wide range of maximum strength values have been measured experimentally for metallic glasses. However, the true maximum strength remains unknown to date. Here, using finite deformation theory, we give the first theoretical estimate of the ultimate strength of metallic glasses. Our theoretical results, along with those from experiment and simulation, lead us to several mechanisms of degradation of the theoretical strength that are closely connected to correlated atomic motion with varying characteristic length in real metallic glasses.
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Affiliation(s)
- Hao Wang
- School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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