Dmitry Karpeev
Argonne National Laboratory
28 Papers
99 Citations
Dmitry Karpeev is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Molecular motor & Protein filament. The author has an hindex of 14, co-authored 27 publications. Previous affiliations of Dmitry Karpeev include University of Chicago & Old Dominion University.
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Papers
PETSc/TAO Users Manual
Satish Balay,S. Abhyankar,Steven A. Benson,Jed Brown,Peter R. Brune,Kristopher R. Buschelman,Emil Constantinescu,Alp Dener,Jacob Faibussowitsch,William Gropp,Tobin Isaac,Dmitry Karpeev,Dinesh K. Kaushik,Matthew G. Knepley,Fande Kong,Lois Curfman McInnes,Richard Mills,Todd Munson,Karl Rupp,Patrick Sanan,Jason Sarich,Barry F. Smith,Hong-Jiang Zhang,Junchao Zhang +23 more
- 01 Jan 2022
TL;DR: The Portable, Extensible Toolkit for Scientific Computation (PETSc) and the Toolkit For Advanced Optimization (TAO) as mentioned in this paper are a suite of data structures and routines that provide the building blocks for the implementation of large-scale application codes on parallel (and serial) computers.
Three-dimensional model for the effective viscosity of bacterial suspensions.
TL;DR: It is shown that interactions with a prescribed generic background flow cause bacteria to preferentially align in directions in which self-propulsion produces a significant reduction in the effective viscosity, in agreement with recent experiments on suspensions of Bacillus subtilis.
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Effective viscosity of dilute bacterial suspensions: a two-dimensional model
TL;DR: An additional term due to self-propulsion which depends on the physical and geometric properties of the active suspension explains the experimental observation of a decrease in effective viscosity in active suspensions.
72
Interactions of semiflexible filaments and molecular motors
TL;DR: In this paper, the results of numerical simulations of the interaction of a pair of bio-filaments mediated by a molecular motor are summarized, and the results are applicable to microtubules, which are relatively stiff, as well as to much softer filaments, such as actin.
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Simulation studies of self-organization of microtubules and molecular motors.
TL;DR: This approximation of the complicated microtubule-motor interaction by a simple instant collision allows us to bypass the "computational bottlenecks" associated with the details of the diffusion and the dynamics of motors and the reorientation of microtubules.
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