M
Michael Zwolak
Researcher at National Institute of Standards and Technology
Publications - 132
Citations - 5602
Michael Zwolak is an academic researcher from National Institute of Standards and Technology. The author has contributed to research in topics: Quantum decoherence & Quantum Darwinism. The author has an hindex of 33, co-authored 126 publications receiving 4851 citations. Previous affiliations of Michael Zwolak include Virginia Tech & Los Alamos National Laboratory.
Papers
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Mixed-state dynamics in one-dimensional quantum lattice systems: A time-dependent superoperator renormalization algorithm
Michael Zwolak,Guifre Vidal +1 more
TL;DR: An algorithm to study mixed-state dynamics in one-dimensional quantum lattice systems with a superoperator renormalization scheme to efficiently describe the state and the time evolving block decimation technique to efficiently update the state during a time evolution is presented.
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Colloquium: Physical approaches to DNA sequencing and detection
TL;DR: The physics behind several physical approaches to DNA detection have the potential to deliver fast and low-cost sequencing, and the concept of nanochannels or nanopores, which allow for the spatial confinement of DNA molecules, are emphasized.
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Fast DNA sequencing via transverse electronic transport.
TL;DR: In this paper, the authors proposed and theoretically showed the feasibility of a protocol for sequencing based on the distributions of transverse electrical currents of single-stranded DNA while it translocates through a nanopore.
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Electronic signature of DNA nucleotides via transverse transport
TL;DR: It is found that, if the electrodes which sandwich the DNA have the appropriate spatial width, each nucleotide carries a unique signature due to the different electronic and chemical structure of the four bases, independent of the nearest-neighbor nucleotides.
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Sigma-Profile Database for Using COSMO-Based Thermodynamic Methods
Eric Mullins,Richard Oldland,Yu Liu,Shu Wang,Stanley I. Sandler,Chau-Chyun Chen,Michael Zwolak,Kevin C. Seavey +7 more
TL;DR: In this paper, the authors present a web-based sigma profile database of 1432 compounds, which can facilitate predictions of thermodynamic properties and phase behaviors from COSMO-based thermodynamic models.