| 학회 | 한국고분자학회 |
| 학술대회 | 2022년 봄 (04/06 ~ 04/08, 대전컨벤션센터) |
| 권호 | 47권 1호 |
| 발표분야 | 데이터 및 기계학습을 이용한 고분자 과학 |
| 제목 | Per-Atom Identification: Structure/Dynamics of Simple and Complex Fluids |
| 초록 | Both the simple liquids to the complex fluids show various anomalous behaviors such as two phase-like mixing and complex coacervation, which not only leads to industrial applications, but also raises questions on the fundamental physics that governs its exotic physicochemical behaviors. We present studies on answering these questions by identifying the states of molecules, captured by machine learning and statistical analysis on simulation data. |
| 저자 | 이원보 |
| 소속 | 서울대 |
| 키워드 | simple and complex fluids; molecular dynamics; machine learning |
