Observation of dynamical transformation plasticity in metallic nanocomposites through a precompiled machine-learning algorithm

So, Kang Pyo; Stapelberg, Myles; Zhou, Yu Ren; Li, Mingda; Short, Michael P.; Yip, Sidney

doi:10.1080/21663831.2021.2005700

Title: Observation of dynamical transformation plasticity in metallic nanocomposites through a precompiled machine-learning algorithm

Journal Article · Fri Jan 07 19:00:00 EST 2022 · Materials Research Letters

DOI: https://doi.org/10.1080/21663831.2021.2005700 · OSTI ID:1839458

So, Kang Pyo ^[1]; Stapelberg, Myles ^[1]; Zhou, Yu Ren ^[2]; Li, Mingda ^[1]; Short, Michael P. ^[1]; Yip, Sidney ^[3]

Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA, Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

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Sponsoring Organization:: USDOE

Grant/Contract Number:: NE0008827

OSTI ID:: 1839458

Journal Information:: Materials Research Letters, Journal Name: Materials Research Letters Journal Issue: 1 Vol. 10; ISSN 2166-3831

Publisher:: Informa UK LimitedCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Mechanical behavior of amorphous alloys Schuh, C.; Hufnagel, T.; Ramamurty, U. Acta Materialia, Vol. 55, Issue 12 https://doi.org/10.1016/j.actamat.2007.01.052	journal	July 2007
Ton-scale metal–carbon nanotube composite: The mechanism of strengthening while retaining tensile ductility So, Kang Pyo; Liu, Xiaohui; Mori, Hideki Extreme Mechanics Letters, Vol. 8 https://doi.org/10.1016/j.eml.2016.04.002	journal	September 2016
Compressed Sensing Eldar, Yonina C.; Kutyniok, Gitta Cambridge University Press https://doi.org/10.1017/CBO9780511794308	book	May 2012
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Julia: come for the syntax, stay for the speed Perkel, Jeffrey M. Nature, Vol. 572, Issue 7767 https://doi.org/10.1038/d41586-019-02310-3	journal	July 2019
Potential energy landscape activations governing plastic flows in glass rheology Cao, Penghui; Short, Michael P.; Yip, Sidney Proceedings of the National Academy of Sciences, Vol. 116, Issue 38 https://doi.org/10.1073/pnas.1907317116	journal	September 2019
Dynamics of viscoplastic deformation in amorphous solids Falk, M. L.; Langer, J. S. Physical Review E, Vol. 57, Issue 6 https://doi.org/10.1103/PhysRevE.57.7192	journal	June 1998
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning Ravishankar, Saiprasad; Ye, Jong Chul; Fessler, Jeffrey A. Proceedings of the IEEE, Vol. 108, Issue 1 https://doi.org/10.1109/JPROC.2019.2936204	journal	January 2020
Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms Fessler, Jeffrey A. IEEE Signal Processing Magazine, Vol. 37, Issue 1 https://doi.org/10.1109/MSP.2019.2943645	journal	January 2020
Compressed sensing Donoho, D. L. IEEE Transactions on Information Theory, Vol. 52, Issue 4 https://doi.org/10.1109/TIT.2006.871582	journal	April 2006
Julia: A Fresh Approach to Numerical Computing Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan SIAM Review, Vol. 59, Issue 1 https://doi.org/10.1137/141000671	journal	January 2017
Makie.jl: Flexible high-performance data visualization for Julia Danisch, Simon; Krumbiegel, Julius Journal of Open Source Software, Vol. 6, Issue 65 https://doi.org/10.21105/joss.03349	journal	September 2021

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