Dielectrophoretic alignment of metal and metal oxide nanowires and nanotubes: A universal set of parameters for bridging prepatterned microelectrodes von Maijenburg, A.W., Maas, M.G., Rodijk, E.J.B., Ahmed, W., Kooij, E.S., Carlen, E.T., Blank, D.H.A., ten Elshof, J.E.

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Electrothermally activated paraffin microactuators von Carlen, E.T., Mastrangelo, C.H.

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Electrothermally actuated inline microfluidic valve von Selvaganapathy, P, Carlen, E.T, Mastrangelo, C.H

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Surface micromachined paraffin-actuated microvalve von Carlen, E.T., Mastrangelo, C.H.

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High-aspect ratio vertical comb-drive actuator with small self-aligned finger gaps von Carlen, E.T., Khee-Hang Heng, Bakshi, S., Pareek, A., Mastrangelo, C.H.

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Recent progress in microfluidic devices for nucleic acid and antibody assays von Selvaganapathy, P.R., Carlen, E.T., Mastrangelo, C.H.

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A two-dimensional optical cross-connect with integrated waveguides and surface micromachined crossbar switches von Iyer, N., Mastrangelo, C.H., Akkaraju, S., Brophy, C., McDonald, T.G., Dureiko, R., Carlen, E.T.

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Statistical model for spatial correlation in thin film deposition and reactive growth von Carlen, E.T., Mastrangelo, C.H.

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Automatic generation of thin film process flows. I. Basic algorithms von Zaman, M.H., Carlen, E.T., Mastrangelo, C.H.

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Automatic generation of thin film process flows. II. Recipe generation, flow evaluation, and system framework von Zaman, M.H., Carlen, E.T., Mastrangelo, C.H.

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Paraffin actuated surface micromachined valves von Carlen, E.T., Mastrangelo, C.H.

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Biomolecular Sensing using Surface Micromachined Silicon Plates von Zapata, A.M., Carlen, E.T., Kim, E.S., Hsiao, J., Traviglia, D., Weinberg, M.S.

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Simple Technique for Direct Patterning of Nanowires using a Nanoslit Shadow-Mask von Tong, H.D., Jansen, H.V., Tas, N.R., Gadgil, V.J., Carlen, E.T., van den Berg, A.

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An experimental methodology for the estimation of spatially correlated parametric yield in thin film devices von Carlen, E.T., Mastrangelo, C.H.

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VLSI implementation of a feature mapping neural network von Carlen, E.T., Abdel-Aty-Zohdy, H.S.

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