Bram Hoex

According to our database, Bram Hoex authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

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

DARWIN 1.5: Large Language Models as Materials Science Adapted Learners.

Tong Xie, Yuwei Wan, Yixuan Liu, Yuchen Zeng, Wenjie Zhang, Chunyu Kit, Dongzhan Zhou, Bram Hoex

CoRR, 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

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