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

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

Journal Article · 02 January 2022 · Materials Research Letters

DOI:https://doi.org/10.1080/21663831.2021.2005700· OSTI ID:1979242

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

Not provided.

Research Organization:: Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE)

DOE Contract Number:: NE0008827

OSTI ID:: 1979242

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

Publisher:: Taylor and Francis

Country of Publication:: United States

Language:: English

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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
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Compressed Sensing Eldar, Yonina C.; Kutyniok, Gitta Cambridge University Press https://doi.org/10.1017/CBO9780511794308	book	May 2012
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