- Address
- 305-0044 茨城県つくば市並木1-1 [アクセス]
研究内容
- Keywords
Artificial Intelligence, Machine Learning, Natural Language Processing, Materials design, Organic/Inorganic Chemistry
Artificial Intelligence, Materials Science, Theoretical Physics
出版物原則として、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。
論文
- Guillaume Lambard, Ekaterina Gracheva. SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors. Machine Learning: Science and Technology. 1 [2] (2020) 025004 10.1088/2632-2153/ab57f3
- Sirawit Pruksawan, Guillaume Lambard, Sadaki Samitsu, Keitaro Sodeyama, Masanobu Naito. Prediction and optimization of epoxy adhesive strength from a small dataset through active learning. Science and Technology of Advanced Materials. 20 [1] (2019) 1010-1021 10.1080/14686996.2019.1673670
- Asep Sugih Nugraha, Guillaume Lambard, Jongbeom Na, Md Shahriar A. Hossain, Toru Asahi, Watcharop Chaikittisilp, Yusuke Yamauchi. Mesoporous trimetallic PtPdAu alloy films toward enhanced electrocatalytic activity in methanol oxidation: unexpected chemical compositions discovered by Bayesian optimization. Journal of Materials Chemistry A. 8 [27] (2020) 13532-13540 10.1039/d0ta04096g
会議録
- MOREAU, Louis Etienne, LAMBARD, Guillaume, Stehpane Gorsse, MURAKAMI, Hideyuki. Study of oxidation resistance of Co-Cr-Ta ternary alloy system for ultra-high temperature applications. International Symposium on High temperature Oxidation and Corrosion 2022 Abstracts. (2022) 31-34
口頭発表
- LAMBARD, Guillaume. Data‐driven design of materials. Guillaume LAMBARD & Christophe BAJAN Conference. 2023
- LAMBARD, Guillaume. Overcoming the limited size of SEM image datasets using a Generative Adversarial Network (GAN). 第1回 (2022年度) RISMEシンポジウム. 2023
- LAMBARD, Guillaume. Data-driven design of materials. Center For Energy Systems Design - Kick-off Workshop. 2023