Acknowledgement
This work is supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1C1C1A01005396)
Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2021.10a
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- Pages.138-139
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- 2021
Neural Network Based Simulation of Poisson Boltzmann Equation
뉴럴네트워크를 통한 Poisson Boltzmann 방정식의 시뮬레이션
- Jo, Gwanghyun (Kunsan National University) ;
- Shin, Kwang-Seong (Wonkwang University)
- Published : 2021.10.03
Abstract
This work introduces neural network based simulation for Poisson Boltzmann equation. First, samples are generated via a finite element method, whose pairs are used to train neural network. We report the performance of the neural network.
본 논문에서 뉴럴 네트워크를 활용하여 포아즌 볼츠만 방정식을 푸는 방법을 소개하려 한다. 기존의 유한요소방법을 사용하여 샘플을 생성하고, 생성된 샘플을 이용하여 뉴럴 네트워크를 훈련시킨다. 결과적으로 얻어진 뉴럴 네트워크의 성능을 소개한다.