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Poster Session I

4:30 pm – 6:30 pm, Tuesday October 14 Session DT4 COEX, Lobby E
Topics:

PPPL Modeling Tools for Princeton Research Collaborative Facility

Poster 58
Presenter: Willca Villafana (Princeton Plasma Physics Laboratory (PPPL))
Authors: Igor Kaganovich (Princeton Plasma Physics Laboratory (PPPL)), Stephane Ethier (Princeton Plasma Physics Laboratory, Princeton, USA), Shoaib Khalid (Princeton Plasma Physics Laboratory (PPPL)), Alexander Khrabrov (Princeton Plasma Physics Laboratory (PPPL)), Alexander Khrabry (Princeton Plasma Physics Laboratory), Mikhail Mokrov (Princeton Plasma Physics Laboratory), Andrew Tasman Powis (Princeton Plasma Physics Laboratory, Princeton, USA), Dmytro Sydorenko (Department of Physics, University of Alberta, AB, Canada), Salman Sarwar (Princeton Plasma Physics Laboratory)

As part of the Princeton Research Collaborative Facility, the PPPL modeling group developed a suite of codes that are available for users. These include two particle-in-cell codes: EDIPIC-2D and LTP-PIC 3D. EDIPIC-2D is an open-source code that includes features for simulations of practical devices and has been used for modelling several plasma devices. LTP-PIC-3D is a high-performance, scalable PIC code that incorporates best programming practices and multi-level parallelism. This code was upgraded to operate efficiently on the latest CPU/GPU architectures for additional performance improvements. Energy-conserving or implicit methods were implemented to speed up simulations [1,2] and the Darwin scheme for electromagnetic simulations [3]. A global model [4] is available for chemistry analysis, see e.g. [5]. We also developed a code for self-consistent simulations of microwave plasma reactors, which includes modules for neutral chemistry and gas flow, electromagnetics, and weakly-ionized nonequilibrium plasma physics and chemistry. Several quantum chemistry codes are used for molecular (Gaussian, GAMESS) and solid-state (VASP, CP2K, DFTB+) dynamics to determine the required reaction rate constants for chemical kinetics. A reliable and compact chemical mechanism of gas-phase methane pyrolysis leading to the formation of large polycyclic aromatic hydrocarbon (PAH) molecules has been developed [6], and so was a solution for nanoparticle formation from condensed vapor [7].

Funding acknowledgement

The work was supported by a Cooperative Research and Development Agreement between Applied Materials Inc. and PPPL, under contract number DE-AC02- 09CH11466.  This work is supported by Princeton Collaborative Research Facility (PCRF) supported by the U.S. DOE under contract No. DE-AC02-09CH11466.

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