- Address
- 305-0044 茨城県つくば市並木1-1 [アクセス]
- プロフィール
- 研究概要
- タグクラウド
- 人のつながり
研究内容
出版物2004年以降のNIMS所属における研究成果や出版物を表示しています。
研究論文
- Thaer M. Dieb, Shenghong Ju, Junichiro Shiomi, Koji Tsuda. Monte Carlo tree search for materials design and discovery. MRS Communications. 9 [02] (2019) 532-536 10.1557/mrc.2019.40
- Thaer M. Dieb, Zhufeng Hou, Koji Tsuda. Structure prediction of boron-doped graphene by machine learning. The Journal of Chemical Physics. 148 [24] (2018) 241716 10.1063/1.5018065
- Thaer M. Dieb, Shenghong Ju, Kazuki Yoshizoe, Zhufeng Hou, Junichiro Shiomi, Koji Tsuda. MDTS: automatic complex materials design using Monte Carlo tree search. Science and Technology of Advanced Materials. 18 [1] (2017) 498-503 10.1080/14686996.2017.1344083
会議録
- JU Shenghong, DIEB, Sae, TSUDA, Koji, SHIOMI, Junichiro. Designing Nanostructures for Heat Transport via Materials Informatics.. The 16th International Heat Transfer Conference. 2018, 9999-1-9999-8
- DIEB, Sae, OKA, Hiroyuki, ISHII, Masashi. Linking polymer names abbreviation to their definition in related scientific documents. Third International Workshop on SCIentific DOCument Analysis (SCIDOCA2018). 2018, 9999-1-9999-6
- JU Shenghong, DIEB, Sae, TSUDA, Koji, SHIOMI, Junichiro. Optimizing Interface/Surface Roughness for Thermal Transport. Machine Learning for Molecules and Materials NIPS 2018 Workshop. 2018, 9999-1-9999-7
口頭発表
- DIEB, Sae. Machine Learning Assisted Materials Design and Discovery. 1st NAIST International Symposium on Data Science. 2019
- FOPPIANO, Luca, DIEB, Sae, SUZUKI, Akira, ISHII, Masashi. Proposal of Automatic Extraction Framework of Superconductors Related Information from Scientific Literature. IEICE. 2019
- DIEB, Sae. Machine Learning Interface/Surface Roughness optimization for Thermal Transport. The 8th Materials research by information integration (Mi2i) forum. 2019
第二期開発予定
第二期開発予定