| Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT T Xie, Y Wan, W Huang, Y Zhou, Y Liu, Q Linghu, S Wang, C Kit, ... arXiv preprint arXiv:2304.02213, 2023 | 21* | 2023 |
| Darwin series: Domain specific large language models for natural science T Xie, Y Wan, W Huang, Z Yin, Y Liu, S Wang, Q Linghu, C Kit, C Grazian, ... arXiv preprint arXiv:2308.13565, 2023 | 18 | 2023 |
| An artificial-intelligence-assisted investigation on the potential of black silicon nanotextures for silicon solar cells S Wang, T Xie, R Liang, Y Zhang, FJ Ma, D Payne, G Scardera, B Hoex ACS Applied Nano Materials 5 (8), 11636-11647, 2022 | 11 | 2022 |
| Opinion mining by convolutional neural networks for maximizing discoverability of nanomaterials T Xie, Y Wan, H Wang, I Østrøm, S Wang, M He, R Deng, X Wu, C Grazian, ... Journal of Chemical Information and Modeling 64 (7), 2746-2759, 2023 | 5 | 2023 |
| Tube‐type plasma‐enhanced atomic layer deposition of aluminum oxide: Enabling record lab performance for the industry with demonstrated cell efficiencies> 24% B Liao, X Wu, W Wu, C Liu, S Ma, S Wang, T Xie, Q Wang, Z Du, W Shen, ... Progress in Photovoltaics: Research and Applications 31 (1), 52-61, 2023 | 4 | 2023 |
| Automatically Generated Datasets: Present and Potential Self-Cleaning Coating Materials S Wang, Y Wan, N Song, Y Liu, T Xie, B Hoex Scientific Data 11 (1), 146, 2024 | 3 | 2024 |
| Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks T Xie, Y Wan, W Li, Q Linghu, S Wang, Y Cai, H Liu, C Kit, C Grazian, ... NeruIPS 2022 AI for Science Workshop, 2022 | 3 | 2022 |
| Creation of a structured solar cell material dataset and performance prediction using large language models T Xie, Y Wan, Y Zhou, W Huang, Y Liu, Q Linghu, S Wang, C Kit, ... Patterns 5 (5), 2024 | 2 | 2024 |
| SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation Y Wan, A Ajith, Y Liu, K Lu, C Grazian, B Hoex, W Zhang, C Kit, T Xie, ... arXiv preprint arXiv:2405.09939, 2024 | 1 | 2024 |
| Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model Y Ye, J Ren, S Wang, Y Wan, I Razzak, T Xie, W Zhang arXiv preprint arXiv:2404.03080, 2024 | 1 | 2024 |
| Tokenizer Effect on Functional Material Prediction: Investigating Contextual Word Embeddings for Knowledge Discovery T Xie, Y Wan, K Lu, W Zhang, C Kit, B Hoex AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023 | 1 | 2023 |
Bram HoexProfessor, UNSW SydneyVerified email at unsw.edu.au
