| Finding the optimal CO2 adsorption material: Prediction of multi-properties of metal-organic frameworks (MOFs) based on DeepFM M Feng, M Cheng, X Ji, L Zhou, Y Dang, K Bi, Z Dai, Y Dai Separation and Purification Technology 302, 122111, 2022 | 28 | 2022 |
| High-throughput computational screening of Covalent− Organic framework membranes for helium purification M Feng, M Cheng, J Deng, X Ji, L Zhou, Y Dang, K Bi, Z Dai, Y Dai Results in Engineering 15, 100538, 2022 | 19 | 2022 |
| Combining interpretable machine learning and molecular simulation to advance the discovery of COF-based membranes for acid gas separation B Xin, M Feng, M Cheng, Z Dai, S Ye, L Zhou, Y Dai, X Ji Industrial & Engineering Chemistry Research 63 (18), 8369-8382, 2024 | 18 | 2024 |
| A universal foundation model for transfer learning in molecular crystals M Feng, C Zhao, GM Day, X Evangelopoulos, AI Cooper Chemical Science, 2025 | 8 | 2025 |
| A Machine Learning-Boosted High-Throughput Screening of Metal–Organic Frameworks for Ethane/Ethylene Separation: From Molecular Simulation to Process Modeling M Cheng, M Feng, L Zhou, S Wang, Z Zhang, C Liu, X Ji Industrial & Engineering Chemistry Research 64 (35), 17135-17146, 2025 | 1 | 2025 |
| L^ 2M^ 3OF: A Large Language Multimodal Model for Metal-Organic Frameworks J Cui, F Wu, H Zhao, M Feng, X Evangelopoulos, AI Cooper, Y Choi arXiv preprint arXiv:2510.20976, 2025 | | 2025 |
Zhongde DaiSichuan UniversityVerified email at ntnu.no
