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David Z. Saltz

Researcher at University of Georgia

Publications -  24
Citations -  498

David Z. Saltz is an academic researcher from University of Georgia. The author has contributed to research in topics: Mixing (physics) & Two-phase flow. The author has an hindex of 11, co-authored 24 publications receiving 484 citations. Previous affiliations of David Z. Saltz include Stony Brook University & Stanford University.

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The Art of Interaction: Interactivity, Performativity, and Computers

TL;DR: In this paper, the authors discuss the question of the performance of l'art computationnel interactif and montre que celui-ci s'apparente aux arts performatifs traditionnels en ce concerne le statut ontologique and semiotique de l'oeuvre d'art.
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Staging Philosophy: Intersections of Theater, Performance, and Philosophy

TL;DR: Staging Philosophy as discussed by the authors investigates the fundamental issues in theater and performance from a wide range philosophical perspectives, and provides case studies of various philosophical movements and schools of thought, from analytic philosophy to phenomenology, from deconstruction to critical realism.
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Two-phase modelling of a fluid mixing layer

TL;DR: In this article, the authors propose boundary conditions for Rayleigh-Taylor mixing based on the inertial, drag, and buoyant forces on the furthest penetrating structures which define these edges.
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Live Media: Interactive Technology and Theatre

David Z. Saltz
- 01 Sep 2001 - 
TL;DR: In the past century, film, radio and video technologies gave rise to new forms of dramatic expression and a global entertainment industry as discussed by the authors, and the way that current digital artists valorize the concept of "interaction" relates closely to the way theatre and performance artists have long valorized the concept "liveness".
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Statistical Evolution of Chaotic Fluid Mixing

TL;DR: In this paper, a new constitutive theory for two-phase flow models of chaotic mixing layers, which form as two incompressible fluids interpenetrate, is described. But the model is not suitable for large-scale simulations, and it cannot predict other important physical quantities, such as the fluid pressures and internal energies in compressible mixing.