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Alexander C. Barbati

Researcher at Cornell University

Publications -  24
Citations -  453

Alexander C. Barbati is an academic researcher from Cornell University. The author has contributed to research in topics: Electrokinetic phenomena & Streaming current. The author has an hindex of 8, co-authored 24 publications receiving 345 citations. Previous affiliations of Alexander C. Barbati include Massachusetts Institute of Technology.

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Complex Fluids and Hydraulic Fracturing

TL;DR: The settings of hydraulic fracturing (framed by geology, fracturing mechanics and physics, and the critical role that non-Newtonian fluid dynamics and complex fluids play in the hydraulic fracturing process are described.
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Traditional and additive manufacturing of a new Tungsten heavy alloy alternative

TL;DR: A new class of rapid-sintering, fine-grained alloys recently developed is being commercially scaled through both traditional and additive manufacturing approaches as discussed by the authors, with a fine, thermally-stable microstructure that has the potential for higher temperature operation and significantly higher strength as compared to WHAs.
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Soft diffuse interfaces in electrokinetics - theory and experiment for transport in charged diffuse layers

TL;DR: The electrokinetic properties of these fixed-diffuse charge systems are dependent on the components of the working fluid, the bounding surface of the diffuse charge layer, and the chemical and mechanical properties of the film itself as discussed by the authors.
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Microfluidic transport in microdevices for rare cell capture.

TL;DR: This article focuses on the fundamental adhesion and transport mechanisms in rare cell‐capture microdevices, and explores modern device design strategies in a transport context, and discusses design strategies with a focus on leveraging the underlying transport phenomena to maximize device performance.
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Quantifying the consistency and rheology of liquid foods using fractional calculus

TL;DR: In this paper, the authors demonstrate that fractional rheological models, including the fractional Maxwell model (FMM), can be used to accurately predict the linear and nonlinear viscoelastic response of a range of liquid food solutions.