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.
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Journal ArticleDOI
Radiative lifetimes and transition probabilities in Hf I and Hf III
G. Malcheva,S. Enzonga Yoca,S. Enzonga Yoca,R. Mayo,Michael Ortiz,Lars Engström,Hans Lundberg,Hampus Nilsson,Emile Biémont,Emile Biémont,Krastan B. Blagoev +10 more
TL;DR: In this paper, the radiative lifetimes of nine odd levels in Hf III (5d6p 23 P 0,1, z 1 D 2, z 3 D 1,2,3, z 3 F 2,3,4 ) were determined using Time-Resolved Laser-Induced Fluorescence.
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Constitutive model for plasticity in an amorphous polycarbonate
TL;DR: A constitutive model for describing the mechanical response of an amorphous glassy polycarbonate based on an isotropic elastic phase surrounded by an SO(3) continuum of plastic phases onto which the elastic phase can collapse under strain is proposed.
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A dynamical model of oncotripsy by mechanical cell fatigue: selective cancer cell ablation by low-intensity pulsed ultrasound
Erika F. Schibber,David R. Mittelstein,Morteza Gharib,Mikhail G. Shapiro,Peter P. Lee,Michael Ortiz +5 more
TL;DR: In this article, the authors proposed a dynamical model of oncotripsy that follows as an application of cell dynamics, statistical mechanical theory of network elasticity and "birth-death" kinetics to describe the processes of damage and repair of the cytoskeleton.
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Geometrically exact time-integration mesh-free schemes for advection-diffusion problems derived from optimal transportation theory and their connection with particle methods
TL;DR: An optimal transportation mesh‐free particle method for advection‐diffusion in which the concentration or density of the diffusive species is approximated by Dirac measures by exploiting the structure of the Euler–Lagrange equations.
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Long-term atomistic simulation of hydrogen diffusion in metals
TL;DR: In this article, a deformation-diffusion coupled computational framework was proposed to simulate the absorption and desorption of hydrogen in nanomaterials, which is characterized by an atomic, deformation diffusion coupled process with a time scale of the order of seconds to hours.