| Data‐Driven Materials Innovation and Applications Z Wang, Z Sun, H Yin, X Liu, J Wang, H Zhao, CH Pang, T Wu, S Li, Z Yin, ... Advanced Materials 34 (36), 2104113, 2022 | 74 | 2022 |
| 2D materials inks toward smart flexible electronics OA Moses, L Gao, H Zhao, Z Wang, ML Adam, Z Sun, K Liu, J Wang, Y Lu, ... Materials Today 50, 116-148, 2021 | 70 | 2021 |
| A robotic platform for the synthesis of colloidal nanocrystals H Zhao, W Chen, H Huang, Z Sun, Z Chen, L Wu, B Zhang, F Lai, Z Wang, ... Nature Synthesis 2 (6), 505-514, 2023 | 51 | 2023 |
| The data-intensive scientific revolution occurring where two-dimensional materials meet machine learning H Yin, Z Sun, Z Wang, D Tang, CH Pang, X Yu, AS Barnard, H Zhao, Z Yin Cell Reports Physical Science 2 (7), 2021 | 44 | 2021 |
| Integration of data-intensive, machine learning and robotic experimental approaches for accelerated discovery of catalysts in renewable energy-related reactions OA Moses, W Chen, ML Adam, Z Wang, K Liu, J Shao, Z Li, W Li, C Wang, ... Materials Reports: Energy 1 (3), 100049, 2021 | 19 | 2021 |
| The role of machine learning in carbon neutrality: Catalyst property prediction, design, and synthesis for carbon dioxide reduction Z Wang, Z Sun, H Yin, H Wei, Z Peng, YX Pang, G Jia, H Zhao, CH Pang, ... eScience 3 (4), 100136, 2023 | 11 | 2023 |
| Data‐driven structural descriptor for predicting platinum‐based alloys as oxygen reduction electrocatalysts X Zhang, Z Wang, AM Lawan, J Wang, CY Hsieh, C Duan, CH Pang, ... InfoMat 5 (6), e12406, 2023 | 9 | 2023 |
| Data-driven engineering descriptor and refined scale relations for predicting bubble departure diameter Y He, Z Sun, C Hu, Z Wang, H Li, Z Yin, D Tang International Journal of Heat and Mass Transfer 195, 123078, 2022 | 2 | 2022 |
| Towards a Robotic Scientist for Synthesis of Nanocrystals H Zhao, W Chen, Z Sun, F Lai, B Zhang, Z Wang, H Huang, OA Moses, ... | | 2022 |
Zongyou YinJLU, NTU, IMRE, MIT, Harvard U, ANU在 anu.edu.au 的电子邮件经过验证
