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Methods for interfacing cells and sensors are central to the notion of local in situ detection of cell function.
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Existing methods for interface toughness evaluation are evaluated and an alternative method for the determination the interface toughness from indentation delamination experiments is proposed.
In order to make use of these methods for interface problems, one needs fast and accurate numerical methods for computing sensitivities for problems defined by partial differential equations with solutions that have spatial discontinuities such as shocks and interfaces.
The complexity of standard numerical methods for interface tracking, where the interface is described by N marker points, is O(N/Δt), when a time step Δt is used.
Motivated by the need for three-dimensional methods for interface calculations that can deal with topology changes, we describe a numerical scheme, built from a volume-of-fluid interface tracking technique that uses a piecewise-linear interface calculation in each cell.
The level set method for interface dynamics makes a suitable choice for the eulerian method.
In this paper, a new ghost-fluid method for interfaces of finite thickness is described.
In this paper, we present a fast time adaptive numerical method for interface tracking.
In this paper, we present an iterative method for interface reconstruction (IR) in general convex cells based on tetrahedral decomposition.
The proposed sensor provides a non-contact real time, cost-effective, robust method for interface detection, which has potential applications in the oil sands industry.
In this communication, we discuss the major features of eFindSitePPI, a recently developed template-based method for interface residue prediction available at http://brylinski.cct.lsu.edu/efindsiteppi.
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