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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.

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Mixed mode crack-tip fields in monolithic ceramics

TL;DR: In this paper, a semi-infinite planar crack in a monolithic ceramic subjected to remote mixed mode loading is considered, where the material is assumed to undergo damage in the form of elastic degradation as a result of stable microcracking.
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A line-free method of monopoles for 3D dislocation dynamics

TL;DR: In this article, the authors developed an approximation scheme for three-dimensional dislocation dynamics in which the dislocation line density is concentrated at points, or monopoles, and every monopole carries a Burgers vector and an element of line.
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Material modeling of cardiac valve tissue: Experiments, constitutive analysis and numerical investigation.

TL;DR: A simple anisotropic constitutive model is proposed, which is fitted to the experimental data set, showing a reasonable interspecimen variability and a dynamic finite element analysis of the aortic valve to show the direct usability of the obtained material parameters in computational simulations.
Posted Content

The optimal uncertainty algorithm in the mystic framework

TL;DR: A rigorous framework for Uncertainty Quantification in which UQ objectives and assumption/information set are brought into the forefront, providing a framework for the communication and comparison of UQ results and its use in the context of the Caltech surrogate model for hypervelocity impact is described.
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Large scale ab-initio simulations of dislocations

TL;DR: A novel methodology to compute relaxed dislocations core configurations, and their energies in crystalline metallic materials using large-scale ab-intio simulations based on MacroDFT, a coarse-grained density functional theory method that accurately computes the electronic structure with sub-linear scaling resulting in a tremendous reduction in cost.