Solving the electrostatic Laplace's equation with a parameterizable physics informed neural network

Publikation: Konferenzbeitrag › Abstract › Begutachtung

Originalsprache	englisch
Publikationsstatus	Veröffentlicht - Nov. 2022
Veranstaltung	20th Biennial IEEE Conference on Electromagnetic Field Computation: CEFC 2022 - Virtual, Online, USA / Vereinigte Staaten Dauer: 24 Okt. 2022 → 26 Okt. 2022 Konferenznummer: 20 https://2022.ieeecefc.org/

Konferenz	20th Biennial IEEE Conference on Electromagnetic Field Computation
Kurztitel	CEFC 2022
Land/Gebiet	USA / Vereinigte Staaten
Ort	Virtual, Online
Zeitraum	24/10/22 → 26/10/22
Internetadresse	https://2022.ieeecefc.org/

Dieses zitieren

@conference{370462184df247a88901af8a3e9f1438,

title = "Solving the electrostatic Laplace's equation with a parameterizable physics informed neural network",

keywords = "Optimization, Neural networks, Partial differential equations, Electrostatics",

author = "Eniz Museljic and Alice Reinbacher-K{\"o}stinger and Manfred Kaltenbacher",

year = "2022",

month = nov,

language = "English",

note = "20th Biennial IEEE Conference on Electromagnetic Field Computation : CEFC 2022, CEFC 2022 ; Conference date: 24-10-2022 Through 26-10-2022",

url = "https://2022.ieeecefc.org/",

}

TY - CONF

T1 - Solving the electrostatic Laplace's equation with a parameterizable physics informed neural network

AU - Museljic, Eniz

AU - Reinbacher-Köstinger, Alice

AU - Kaltenbacher, Manfred

N1 - Conference code: 20

PY - 2022/11

Y1 - 2022/11

KW - Optimization

KW - Neural networks

KW - Partial differential equations

KW - Electrostatics

M3 - Abstract

T2 - 20th Biennial IEEE Conference on Electromagnetic Field Computation

Y2 - 24 October 2022 through 26 October 2022

ER -