M
Michael Ortiz
Researcher at California Institute of Technology
Publications - 489
Citations - 34601
Michael Ortiz is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Finite element method & Dislocation. The author has an hindex of 87, co-authored 467 publications receiving 31582 citations. Previous affiliations of Michael Ortiz include Complutense University of Madrid & University of Seville.
Papers
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Surface effects and the size-dependent hardening and strengthening of nickel micropillars
Daniel E. Hurtado,Michael Ortiz +1 more
TL;DR: In this paper, the authors evaluate the extent to which two mechanisms contribute to the observed size effect of the ultimate yield strength of micropillars of diameters in the range of 1-30 µm: dislocation pile-ups, modeled by means of a physically based non-local single-crystal plasticity model; and the short-range interaction of dislocations with the free surface of the microdrone, e.g., through the formation of surface steps.
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A three-dimensional multiscale model of intergranular hydrogen-assisted cracking
Julian J. Rimoli,Michael Ortiz +1 more
TL;DR: In this article, a three-dimensional model of intergranular hydrogenembrittlement (HE) is presented to account for the degradation of grainboundary strength that arises from hydrogen coverage.
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A multi-phase field model of planar dislocation networks
Marisol Koslowski,Michael Ortiz +1 more
TL;DR: In this article, a phase-field model of slip over a slip plane is described by means of multiple integer-valued phase fields, and all the terms in the total energy of the crystal, including the long-range elastic energy and the Peierls interplanar energy, can be written explicitly in terms of the multi-phase field.
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A multiscale approach for modeling crystalline solids
Alberto M. Cuitiño,Laurent Stainier,Guofeng Wang,Alejandro Strachan,Tahir Cagin,William A. Goddard,Michael Ortiz +6 more
TL;DR: In this paper, the authors present a modeling approach to bridge the atomistic with macroscopic scales in crystalline materials, including the effect of temperature and strain-rate on the hardening rate.
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Model-free data-driven computational mechanics enhanced by tensor voting
TL;DR: The here proposed second-order data-driven paradigm is a plug-in method for distance-minimizing as well as entropy-maximizing data- driven schemes and aims to minimize a suitably defined free energy over phase space subject to compatibility and equilibrium constraints.