1 code implementation • 24 Aug 2018 • Yibin Huang, Congying Qiu, Yue Guo, Xiaonan Wang, and Kui Yuan
Vision-based detection on surface defects has long postulated in the magnetic tile automation process.
Ranked #1 on Anomaly Detection on Surface Defect Saliency of Magnetic Tile (Segmentation AUROC metric, using extra training data)
1 code implementation • 15 May 2020 • Zekun Ren, Siyu Isaac Parker Tian, Juhwan Noh, Felipe Oviedo, Guangzong Xing, Jiali Li, Qiaohao Liang, Ruiming Zhu, Armin G. Aberle, Shijing Sun, Xiaonan Wang, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi
Realizing general inverse design could greatly accelerate the discovery of new materials with user-defined properties.
no code implementations • 27 Oct 2020 • Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang
Deep neural network is further applied to develop regression model which demonstrated the well performed prediction on both the original and generated data with a similar distribution.
no code implementations • 26 Mar 2023 • Zhuoying Zhao, Ziling Tan, Pinghui Mo, Xiaonan Wang, Dan Zhao, Xin Zhang, Ming Tao, Jie Liu
This paper proposes a special-purpose system to achieve high-accuracy and high-efficiency machine learning (ML) molecular dynamics (MD) calculations.
no code implementations • 7 Feb 2024 • Nung Siong Lai, Yi Shen Tew, Xialin Zhong, Jun Yin, Jiali Li, Binhang Yan, Xiaonan Wang
In this article, we demonstrate the application of this AI workflow in the optimization of catalyst synthesis for ammonia production.
1 code implementation • 22 Apr 2024 • Hongxuan Liu, Haoyu Yin, Zhiyao Luo, Xiaonan Wang
This paper presents a study on the integration of domain-specific knowledge in prompt engineering to enhance the performance of large language models (LLMs) in scientific domains.