Correlative image learning of chemo-mechanics in phase-transforming solids-Reference-Cited by-同舟云学术

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Correlative image learning of chemo-mechanics in phase-transforming solids

Published:2022-02-17 Issue:5 Volume:21 Page:547-554
ISSN:1476-1122
Container-title:Nature Materials
language:en
Short-container-title:Nat. Mater.

Author:

Deng Haitao D.^ORCID,Zhao Hongbo^ORCID,Jin Norman,Hughes Lauren,Savitzky Benjamin H.,Ophus Colin^ORCID,Fraggedakis Dimitrios^ORCID,Borbély András,Yu Young-Sang^ORCID,Lomeli Eder G.,Yan Rui,Liu Jueyi,Shapiro David A.^ORCID,Cai Wei^ORCID,Bazant Martin Z.^ORCID,Minor Andrew M.^ORCID,Chueh William C.^ORCID

Funder

Toyota research institute

Toyota Research Institute

DOE | LDRD | Lawrence Berkeley National Laboratory

DOE | SC | Basic Energy Sciences

DOE | LDRD | SLAC National Accelerator Laboratory

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,General Chemistry

Link

https://www.nature.com/articles/s41563-021-01191-0.pdf

Reference55 articles.

1. Sheng, S. & Tu, Z. C. Constitutive relation for nonlinear response and universality of efficiency at maximum power for tight-coupling heat engines. Phys. Rev. E 91, 022136 (2015).

2. Jackson, J. D. Classical Electrodynamics 3rd edn (Wiley, 1999).

3. Magnenet, V., Schiavi-Tritz, J., Huselstein, C. & Rahouadj, R. Constitutive equations for Ca2+-alginate gels. J. Mech. Behav. Biomed. Mater. 5, 90–98 (2012).

4. Jop, P., Forterre, Y. & Pouliquen, O. A constitutive law for dense granular flows. Nature 441, 727–730 (2006).

5. Fish, J., Wagner, G. J. & Keten, S. Mesoscopic and multiscale modelling in materials. Nat. Mater. 20, 774–786 (2021).

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