Systematic Comparison and Comprehensive Evaluation of 80 Amino Acid Descriptors in Peptide QSAR Modeling. - Peng Zhou 003; Qian Liu; Ting Wu; Qingqing Miao; Shuyong Shang; Heyi Wang; Zheng Chen; Shaozhou Wang; Heyan Wang (J. Chem. Inf. Model., 2021)

Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks. - Tong Xie; Yuwei Wan; Weijian Li 002; Qingyuan Linghu; Shaozhou Wang; Yalun Cai; Han Liu 001; Chunyu Kit; Clara Grazian; Bram Hoex (CoRR, 2022)

Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT. - Tong Xie; Yuwei Wan; Wei Huang 040; Yufei Zhou; Yixuan Liu; Qingyuan Linghu; Shaozhou Wang; Chunyu Kit; Clara Grazian; Wenjie Zhang 001; Bram Hoex (CoRR, 2023)

DARWIN Series: Domain Specific Large Language Models for Natural Science. - Tong Xie; Yuwei Wan; Wei Huang 040; Zhenyu Yin; Yixuan Liu; Shaozhou Wang; Qingyuan Linghu; Chunyu Kit; Clara Grazian; Wenjie Zhang 001; Imran Razzak; Bram Hoex (CoRR, 2023)

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity. - Tong Xie; Hanzhi Zhang; Shaozhou Wang; Yuwei Wan; Imran Razzak; Chunyu Kit; Wenjie Zhang 001; Bram Hoex (ICDM (Workshops), 2024)

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. - Yanpeng Ye; Jie Ren; Shaozhou Wang; Yuwei Wan; Imran Razzak; Bram Hoex; Haofen Wang; Tong Xie; Wenjie Zhang 001 (NeurIPS, 2024)

Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. - Yanpeng Ye; Jie Ren; Shaozhou Wang; Yuwei Wan; Imran Razzak; Tong Xie; Wenjie Zhang 001 (CoRR, 2024)

Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials. - Tong Xie; Yuwei Wan; Haoran Wang; Ina Østrøm; Shaozhou Wang; Mingrui He; Rong Deng; Xinyuan Wu; Clara Grazian; Chunyu Kit; Bram Hoex (J. Chem. Inf. Model., 2024)

Creation of a structured solar cell material dataset and performance prediction using large language models. - Tong Xie; Yuwei Wan; Yufei Zhou; Wei Huang 040; Yixuan Liu; Qingyuan Linghu; Shaozhou Wang; Chunyu Kit; Clara Grazian; Wenjie Zhang 001; Bram Hoex (Patterns, 2024)