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

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Publication status	Published - Nov 2022
Event	20th Biennial IEEE Conference on Electromagnetic Field Computation: CEFC 2022 - Virtual, Online, United States Duration: 24 Oct 2022 → 26 Oct 2022 Conference number: 20 https://2022.ieeecefc.org/

Conference	20th Biennial IEEE Conference on Electromagnetic Field Computation
Abbreviated title	CEFC 2022
Country/Territory	United States
City	Virtual, Online
Period	24/10/22 → 26/10/22
Internet address	https://2022.ieeecefc.org/

Keywords

@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 -