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Universal structural parameter to quantitatively predict metallic glass properties

Author

Listed:
  • Jun Ding

    (Lawrence Berkeley National Laboratory
    Johns Hopkins University)

  • Yong-Qiang Cheng

    (Oak Ridge National Laboratory)

  • Howard Sheng

    (George Mason University)

  • Mark Asta

    (Lawrence Berkeley National Laboratory
    University of California)

  • Robert O. Ritchie

    (Lawrence Berkeley National Laboratory
    University of California)

  • Evan Ma

    (Johns Hopkins University)

Abstract

Quantitatively correlating the amorphous structure in metallic glasses (MGs) with their physical properties has been a long-sought goal. Here we introduce ‘flexibility volume’ as a universal indicator, to bridge the structural state the MG is in with its properties, on both atomic and macroscopic levels. The flexibility volume combines static atomic volume with dynamics information via atomic vibrations that probe local configurational space and interaction between neighbouring atoms. We demonstrate that flexibility volume is a physically appropriate parameter that can quantitatively predict the shear modulus, which is at the heart of many key properties of MGs. Moreover, the new parameter correlates strongly with atomic packing topology, and also with the activation energy for thermally activated relaxation and the propensity for stress-driven shear transformations. These correlations are expected to be robust across a very wide range of MG compositions, processing conditions and length scales.

Suggested Citation

  • Jun Ding & Yong-Qiang Cheng & Howard Sheng & Mark Asta & Robert O. Ritchie & Evan Ma, 2016. "Universal structural parameter to quantitatively predict metallic glass properties," Nature Communications, Nature, vol. 7(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13733
    DOI: 10.1038/ncomms13733
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    Cited by:

    1. Wenqing Zhu & Zhi Li & Hua Shu & Huajian Gao & Xiaoding Wei, 2024. "Amorphous alloys surpass E/10 strength limit at extreme strain rates," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

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