Bram Hoex

According to our database, Bram Hoex authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search.

Zerui Yang, Yuwei Wan, Siyu Yan, Yudai Matsuda, Tong Xie, Bram Hoex, Linqi Song

CoRR, July, 2025

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI.

Sha Zhang, Suorong Yang, Tong Xie, Xiangyuan Xue, Zixuan Hu, Rui Li, Wenxi Qu, Zhenfei Yin, Tianfan Fu, Di Hu, Andres M. Bran, Nian Ran, Bram Hoex, Wangmeng Zuo, Philippe Schwaller, Wanli Ouyang, Lei Bai, Yanyong Zhang, Lingyu Duan, Shixiang Tang, Dongzhan Zhou

CoRR, June, 2025

2024

Creation of a structured solar cell material dataset and performance prediction using large language models.

Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex

Patterns, 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

From Tokens to Materials: Leveraging Language Models for Scientific Discovery.

Yuwei Wan, Tong Xie, Nan Wu, Wenjie Zhang, Chunyu Kit, Bram Hoex

CoRR, 2024

SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation.

Yuwei Wan, Aswathy Ajith, Yixuan Liu, Ke Lu, Clara Grazian, Bram Hoex, Wenjie Zhang, Chunyu Kit, Tong Xie, Ian T. Foster

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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, Bram Hoex

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

DARWIN Series: Domain Specific Large Language Models for Natural Science.

Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex

CoRR, 2023

Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT.

Tong Xie, Yuwei Wan, Wei Huang, Yufei Zhou, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex

CoRR, 2023

2022

Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks.

Tong Xie, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang, Yalun Cai, Han Liu, Chunyu Kit, Clara Grazian, Bram Hoex

CoRR, 2022