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Benjamin Shapiro
Fischell Department of Bioengineering
Joint appointment with:
Institute for Systems Research
2246 Kim Building
University of Maryland
College Park, MD 20742
Tel: (301) 405-4191
Fax: (301) 405-9953

Min Energy Methods for Liquid Shape Prediction: Network Filling, Active Optical Pixels, …
Students: Mike Chinn, Neil Fortner, Inna Treise
Collaborators: H.Feil, Phillips; A.Hightower, Nanostream

Fast numerical methods to find equilibrium shapes of liquids in arbitrary geometries under applied fields. Methods necessary for predicting flows in fluidic networks, electrowetting systems, active optical pixels, …

Below: Filling of a small network: theory vs experiment. Network is shown on left. Right graph shows filling model vs experiment at two different times. The model can predict filling of a network with 10,000 components in seconds.
Filling of a small network

color change due to oil shape actuation Modeling active pixels. Right: Color change due to oil shape actuation (figure courtesy Phillips). Below: Basic physics – minimize surface tension vs dielectric energy. Bottom: Oil shapes versus voltage (using Surface Evolver software by K.Brakke, Susquehanna Univ)

basic physics

oil shapes vs voltage









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