K
Kevin D. Dorfman
Researcher at University of Minnesota
Publications - 244
Citations - 6297
Kevin D. Dorfman is an academic researcher from University of Minnesota. The author has contributed to research in topics: Copolymer & Brownian dynamics. The author has an hindex of 41, co-authored 229 publications receiving 5575 citations. Previous affiliations of Kevin D. Dorfman include Centre national de la recherche scientifique & Massachusetts Institute of Technology.
Papers
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Droplet fusion by alternating current (AC) field electrocoalescence in microchannels.
TL;DR: The capillary‐based system presented here is readily amenable to further miniaturization to any lab‐on‐a‐chip application where the conductivity of the droplets is much greater than the conductivities of the stream containing them, and should aid in the further application of droplet microreactors to biological analyses.
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Thermal processing of diblock copolymer melts mimics metallurgy
Kyung-Tae Kim,Morgan W. Schulze,Akash Arora,Ronald M. Lewis,Marc A. Hillmyer,Kevin D. Dorfman,Frank S. Bates +6 more
TL;DR: Self-consistent mean-field theory calculations show that these, and other associated Frank-Kasper phases, have nearly degenerate free energies, suggesting that processing history drives the material into long-lived metastable states defined by self-assembled particles with discrete populations of volumes and polyhedral shapes.
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Beyond gel electrophoresis: Microfluidic separations, fluorescence burst analysis, and DNA stretching
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Contamination-free continuous flow microfluidic polymerase chain reaction for quantitative and clinical applications
Kevin D. Dorfman,Max Chabert,Jean Hugues Codarbox,Gilles Rousseau,Patricia de Cremoux,Jean-Louis Viovy +5 more
TL;DR: The capillary-based system is readily amenable to further miniaturization and automation and serves as the first step toward a clinically viable, high-throughput, quantitative continuous flow PCR apparatus.
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Simulation of DNA Extension in Nanochannels.
TL;DR: A realistic model for double stranded DNA and Monte Carlo simulations are used to compute the extension (mean span) of a DNA molecule confined in a nanochannel over the full range of confinement in a high ionic strength buffer.