| 학회 |
한국화학공학회 |
| 학술대회 |
2018년 봄 (04/25 ~ 04/27, 창원컨벤션센터) |
| 권호 |
24권 1호, p.996 |
| 발표분야 |
C1 화학을 위한 분리기술 심포지엄(분리기술부문위원회) |
| 제목 |
Evaluating Performance Limits of Methane Storage/Separations of Porous Materials Using Artificial Neural Network |
| 초록 |
In this work, we show that artificial neural network (ANN) can be used to evaluate the performance limits for methane storage/separations in nanoporous materials. Our newly developed ANN can successfully generate energy "shapes" that can mimic methane potential energy grids of realistic porous materials. In a case study, we chose pure-silica zeolites system due to their completeness of filling the mathematical possible spaces of all materials within that class. The methane adsorption data generated from our ANN matches well with the distributions of real zeolites. This new methodology/framework can be used to estimate the performance limits of materials and will make an important contribution of answering the question of whether or not it would be worthwhile to fund a specific research from the perspective of government/businesses. |
| 저자 |
김지한 |
| 소속 |
한국과학기술원 |
| 키워드 |
C1; molecular simulations; artificial intelligence
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| E-Mail |
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| VOD |
VOD 보기 |
| 원문파일 |
초록 보기 |
