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GPU Acceleration of Kinetic Simulati...

Applegate, Aaron A.,

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GPU Acceleration of Kinetic Simulations of Dust Particles in RF Plasmas /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	GPU Acceleration of Kinetic Simulations of Dust Particles in RF Plasmas // Aaron A Applegate.
作者:	Applegate, Aaron A.,
面頁冊數:	1 electronic resource (72 pages)
附註:	Source: Masters Abstracts International, Volume: 86-04.
Contained By:	Masters Abstracts International86-04.
標題:	Aerospace engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31488126
ISBN:	9798896071310

GPU Acceleration of Kinetic Simulations of Dust Particles in RF Plasmas /
Applegate, Aaron A.,

GPU Acceleration of Kinetic Simulations of Dust Particles in RF Plasmas /Aaron A Applegate. - 1 electronic resource (72 pages)

Source: Masters Abstracts International, Volume: 86-04.

Dusty plasmas are characterized by micro to nanometer sized particles interacting with ions and electrons in a plasma. Dust grains interact with each other via Coulomb forces as they acquire electric charge through the collection of electrons and ions. This interaction can generate crystalline structures because of mutual repulsion and produce collective behaviors. Under the influence of gravity, dust crystals are squeezed into a two-dimensional monolayer. In microgravity, three-dimensional crystal structures and a broad range of collective behavior are possible as dust grain interaction forces and plasma effects become dominant. In this study, dusty plasmas were modeled via a continuum description of the plasma coupled with a kinetic description of dust particles where grains are tracked by solving for the grain charge, position, and velocity in response to forces from the plasma background and the interactions between dust particles. Most notably, numerical tools were developed and implemented to conduct the simulations via the parallel processing capabilities of a graphics processing unit (GPU) to vastly accelerate computation speed. The significant speedup in processing allows a two orders of magnitude increase in number of simulated particles within the constraints of computational resources. This speedup begins to allow the computational investigation of collective grain dynamics within the microgravity experiments with a very large number dust particles in an rf plasma reactor. The GPU enabling software modifications and efficiency gains were validated with respect to previous simulations on a gravitational condition.

English

ISBN: 9798896071310Subjects--Topical Terms:

1002622
Aerospace engineering.
Subjects--Index Terms:

Dusty plasma

GPU Acceleration of Kinetic Simulations of Dust Particles in RF Plasmas /
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245 1 0 $a GPU Acceleration of Kinetic Simulations of Dust Particles in RF Plasmas / $c Aaron A Applegate.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (72 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 86-04.
500 $a Advisors: Shotorban, Babak Committee members: Cassibry, Jason; Fahimi, Farbod.
502 $b M.S.E. $c The University of Alabama in Huntsville $d 2024.
520 $a Dusty plasmas are characterized by micro to nanometer sized particles interacting with ions and electrons in a plasma. Dust grains interact with each other via Coulomb forces as they acquire electric charge through the collection of electrons and ions. This interaction can generate crystalline structures because of mutual repulsion and produce collective behaviors. Under the influence of gravity, dust crystals are squeezed into a two-dimensional monolayer. In microgravity, three-dimensional crystal structures and a broad range of collective behavior are possible as dust grain interaction forces and plasma effects become dominant. In this study, dusty plasmas were modeled via a continuum description of the plasma coupled with a kinetic description of dust particles where grains are tracked by solving for the grain charge, position, and velocity in response to forces from the plasma background and the interactions between dust particles. Most notably, numerical tools were developed and implemented to conduct the simulations via the parallel processing capabilities of a graphics processing unit (GPU) to vastly accelerate computation speed. The significant speedup in processing allows a two orders of magnitude increase in number of simulated particles within the constraints of computational resources. This speedup begins to allow the computational investigation of collective grain dynamics within the microgravity experiments with a very large number dust particles in an rf plasma reactor. The GPU enabling software modifications and efficiency gains were validated with respect to previous simulations on a gravitational condition.
546 $a English
590 $a School code: 0278
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Computational physics. $3 3343998
650 4 $a Plasma physics. $3 3175417
653 $a Dusty plasma
653 $a GPU acceleration
653 $a Dusty plasmas
690 $a 0538
690 $a 0216
690 $a 0759
710 2 $a The University of Alabama in Huntsville. $b Mechanical and Aerospace Engineering. $e degree granting institution. $3 3825179
720 1 $a Shotorban, Babak $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-04.
790 $a 0278
791 $a M.S.E.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31488126