Qimin Yan
- Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks
2024/07/06 by Zhenyao Fang, Fang, Zhenyao, Qimin Yan +1 · 2 citations
Engineering · Materials Science · #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Mineral Processing and Grinding #Non-Destructive Testing Techniques
- Crystal Hypergraph Convolutional Networks
2024/11/19 by Alexander J. Heilman, Weiyi Gong, Heilman, Alexander J. +3 · 1 citation
Computer Science · #Advanced Graph Neural Networks #FOS: Physical sciences #Graph Theory and Algorithms #Materials Science (cond-mat.mtrl-sci) #Neural Networks and Applications
- Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach
2024/11/25 by Weiyi Gong, Tao Sun, Gong, Weiyi +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #FOS: Physical sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Ideal Topological Flat Bands in Two-dimensional Moiré Heterostructures with Type-II Band Alignment
2025/07/08 by Yunzhe Liu, Liu, Yunzhe, Anoj Aryal +15 · 3 citations
Materials Science · Physics and Astronomy · #FOS: Physical sciences #Graphene research and applications #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum and electron transport phenomena #Topological Materials and Phenomena
- Point Group Equivariant Graph Neural Networks for Materials
2026/07/18 by Alexander J. Heilman, Qimin Yan
#cond-mat.dis-nn #cond-mat.mtrl-sci