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Simulating Magnetiz...
Simulating Magnetized Plasma using an Accelerated Finite Element-Boundary Integral Code
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- Wingren, Niklas (författare)
- Lund University,Lunds universitet,Teoretisk elektroteknik,Forskargrupper vid Lunds universitet,Electromagnetic Theory,Lund University Research Groups
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- Sjoberg, Daniel (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Teoretisk elektroteknik,Forskargrupper vid Lunds universitet,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH,Electromagnetic Theory,Lund University Research Groups
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023. - 9798350309973 - 9789463968096
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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Abstract
Ämnesord
Stäng
- This paper describes an accelerated finite element-boundary integral code with support for complex media. The code is implemented in Python using several open source packages, and uses Numba just-in-time compilation for improved performance. To accelerate the boundary integral part of the code, a multilevel implementation of the adaptive cross approximation is used. As a numerical example, scattering against a magnetized plasma is demonstrated. For this example, compression of boundary integral matrices is achieved to 9 % of the memory required for full matrices.
- This paper describes an accelerated finite element-boundary integral code with support for complex media. The code is implemented in Python using several open source packages, and uses Numba just-in-time compilation for improved performance. To accelerate the boundary integral part of the code, a multilevel implementation of the adaptive cross approximation is used. As a numerical example, scattering against a magnetized plasma is demonstrated. For this example, compression of boundary integral matrices is achieved to 9 % of the memory required for full matrices.
Ämnesord
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
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