| A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks Y Kang, H Park, B Smit, J Kim Nature Machine Intelligence 5 (3), 309-318, 2023 | 99 | 2023 |
| ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models Y Kang, J Kim Nature Communications 15 (1), 4705, 2024 | 58* | 2024 |
| (*Contributed Equally) Mining insights on metal–organic framework synthesis from scientific literature texts H Park, Y Kang, W Choe, J Kim Journal of Chemical Information and Modeling 62 (5), 1190-1198, 2022 | 51 | 2022 |
| (*Contributed Equally) Enhancing Structure–Property Relationships in Porous Materials through Transfer Learning and Cross-Material Few-Shot Learning H Park, Y Kang, J Kim ACS Applied Materials & Interfaces 15 (48), 56375-56385, 2023 | 15* | 2023 |
| From data to discovery: recent trends of machine learning in metal–organic frameworks J Park, H Kim, Y Kang, Y Lim, J Kim JACS Au 4 (10), 3727-3743, 2024 | 4 | 2024 |
| Multimodal Transformer for Property Prediction in Polymers S Han, Y Kang, H Park, J Yi, G Park, J Kim ACS Applied Materials & Interfaces 16 (13), 16853-16860, 2024 | 3 | 2024 |
| Harnessing Large Language Models to Collect and Analyze Metal–Organic Framework Property Data Set Y Kang, W Lee, T Bae, S Han, H Jang, J Kim Journal of the American Chemical Society, 2025 | 2* | 2025 |
Jihan KimKAISTVerified email at kaist.ac.kr