| Machine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2 Reduction Y Guo, X He, Y Su, Y Dai, M Xie, S Yang, J Chen, K Wang, D Zhou, ... Journal of the American Chemical Society 143 (15), 5755-5762, 2021 | 85 | 2021 |
| Two‐Photon 3D Printing in Metal–Organic Framework Single Crystals Y Zhang, Y Su, Y Zhao, Z Wang, C Wang Small 18 (18), 2200514, 2022 | 18 | 2022 |
| MLatom: a package for atomistic simulations with machine learning PO Dral, BX Xue, F Ge, YF Hou, M Pinheiro Jr, Y Su, Y Dai, Y Chen Xiamen University, Xiamen, China (2013–2022) http://MLatom. com (accessed …, 2013 | 18 | 2013 |
| Interpretable Machine Learning of Two‐Photon Absorption Y Su, Y Dai, Y Zeng, C Wei, Y Chen, F Ge, P Zheng, D Zhou, PO Dral, ... Advanced Science 10 (8), 2204902, 2023 | 12 | 2023 |
| Three-dimensional direct-writing via photopolymerization based on triplet—triplet annihilation Z Wang, Y Zhang, Y Su, C Zhang, C Wang Science China Chemistry 65 (11), 2283-2289, 2022 | 12 | 2022 |
| Nanoscale metal–organic frameworks and metal–organic layers with two-photon-excited fluorescence X Hu, Z Wang, Y Su, P Chen, J Chen, C Zhang, C Wang Inorganic Chemistry 59 (7), 4181-4185, 2020 | 12 | 2020 |
| Metal–organic layers with an enhanced two-photon absorption cross-section and up-converted emission X Hu, Z Wang, Y Su, P Chen, Y Jiang, C Zhang, C Wang Chemistry of Materials 33 (5), 1618-1624, 2021 | 8 | 2021 |
| MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows PO Dral, F Ge, YF Hou, P Zheng, Y Chen, M Barbatti, O Isayev, C Wang, ... Journal of Chemical Theory and Computation, 2024 | 5 | 2024 |
| Halide anchors for single-cluster electronics C Wei, J Ye, Y Su, J Zheng, S Xiao, J Chen, S Yuan, C Zhang, J Bai, H Xu, ... CCS Chemistry 5 (7), 1574-1582, 2023 | 5 | 2023 |
| Two-photon induced polymerization in a porous polymer film to create multi-layer structures Y Huang, Y Zhang, Y Su, Z Zhai, J Chen, C Wang Chemical Communications 57 (37), 4516-4519, 2021 | 5 | 2021 |
| Hexa-branched nanographenes with large two-photon absorption XJ Zhao, YY Ju, YM Su, C Tang, Q Zeng, LB Feng, C Wang, K Müllen, ... Journal of the American Chemical Society 145 (35), 19333-19337, 2023 | 3 | 2023 |
| Photo-Driven Aerobic Methane Nitration X He, L Zhang, J Chen, H Liu, Y Su, H Li, Y Cao, PO Dral, C Wang Inorganic Chemistry 62 (26), 10343-10350, 2023 | 2 | 2023 |
| Exploration and Insights on Topology Adjustment of Giant Heterometallic Cages Featuring Inorganic Skeletons Assisted by Machine Learning MH Du, Y Dai, LP Jiang, YM Su, MQ Qi, C Wang, LS Long, LS Zheng, ... Journal of the American Chemical Society 145 (42), 23188-23195, 2023 | 1 | 2023 |
| Photochlorination of linear alkanes with 2-position selectivity using a metal-organic layer catalyst H Hu, Y Su, X Cui, B Zhao, J Chen, S Chen, M Chen, H Huo, C Wang Cell Reports Physical Science 4 (4), 2023 | 1 | 2023 |
| Printing 3D Metallic Structures in Porous Matrix X Fan, X Wang, Y Ye, Y Ye, Y Su, Y Zhang, C Wang Small, 2312071, 2024 | | 2024 |
| Multicolor Patterning Inside a Metal‐Organic Framework Y Zhang, Y Su, X Fan, B Zhao, X Hua, B Dai, C Wang Advanced Optical Materials 11 (19), 2300364, 2023 | | 2023 |
| Why Ligand Doping Increases the Fluorescence of an Anthracene-Based Metal–Organic Framework Z Wang, B Dai, Y Su, H Hu, X He, J Chen, C Wang Inorganic Chemistry 62 (30), 11809-11816, 2023 | | 2023 |
| Uncovering the influence of the modifier redox potential on CO 2 reduction through combined data-driven machine learning and hypothesis-driven experimentation X He, Y Su, J Zhu, N Fang, YT Chen, H Liu, D Zhou, C Wang Journal of Materials Chemistry A 11 (34), 18106-18114, 2023 | | 2023 |
| Predicting Two-Photon Absorption Cross Sections with Experimental Accuracy Using Only Four Molecular Features Revealed by Interpretable Machine Learning Y Su, Y Dai, Y Zeng, C Wei, Y Chen, F Ge, P Zheng, D Zhou, PO Dral, ... | | 2022 |
