Machine Learning in Materials Science
연구주제 · Materials Chemistry
논문 (피인용 순)
| 연도 | 논문 | SNUEI 저자 | 피인용 |
|---|---|---|---|
| 2023 | Closed-loop optimization of nanoparticle synthesis enabled by robotics and machine learning Matter | 박정원, 남기태 | 73 |
| 2020 | Predicting the chemical reactivity of organic materials using a machine-learning approach Chemical Science | 강기석 | 62 |
| 2026 | Self-driving laboratories in Korea: a new era of autonomous discovery Digital Discovery | 최장욱, 류재윤, 박정원 | 6 |
| 2026 | Cross-material catalyst discovery via deep learning 신재생에너지 › 수소 Nature Materials | 류재윤 | 1 |
| 2023 | An artificial neural network using multi-head intermolecular attention for predicting chemical reactivity of organic materials Journal of Materials Chemistry A | 강기석 | 1 |
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동
이 문서와 연결된 페이지
교수 5
논문 5
Self-driving laboratories in Korea: a new era of autonomous discovery · Closed-loop optimization of nanoparticle synthesis enabled by robotics · Cross-material catalyst discovery via deep learning · An artificial neural network using multi-head intermolecular attention · Predicting the chemical reactivity of organic materials using a machin