Fu, Nihang

1. Physics Guided Deep Learning for Generative Design of Crystal Materials with Symmetry Constraints
   2022/03/27 by Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhao, Yong +11 · 10 citations
   Chemistry · Materials Science · #FOS: Computer and information sciences #FOS: Physical sciences #Inorganic Chemistry and Materials #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
2. Scalable deeper graph neural networks for high-performance materials property prediction
   2021/09/25 by Omee, Sadman Sadeed, Louis, Steph-Yves, Fu, Nihang +5 · 4 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
3. Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study
   2024/01/16 by Omee, Sadman Sadeed, Fu, Nihang, Dong, Rongzhi +2 · 5 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
4. Invariant Representation Learning for Infant Pose Estimation with Small Data
   2020/10/13 by Huang, Xiaofei, Fu, Nihang, Liu, Shuangjun +1 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
5. Generative Design of inorganic compounds using deep diffusion language models
   2023/09/30 by Dong, Rongzhi, Fu, Nihang, Siriwardane, dirisuriya M. D. +1 · 2 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
6. Physics guided dual Self-supervised learning for structure-based materials property prediction
   2024/01/10 by Nihang Fu, Lai Wei, Fu, Nihang +3 · 1 citation
   Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography