Wen, Mingjian

1. Uncertainty Quantification and Propagation in Atomistic Machine Learning
   2024/05/03 by Dai, Jin, Adhikari, Santosh, Wen, Mingjian · 3 citations
   #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
2. Cartesian atomic moment machine learning interatomic potentials
   2024/11/18 by Mingjian Wen, Wen, Mingjian, Huang, Wei-Fan +3 · 4 citations
   Materials Science · #Machine Learning in Materials Science
3. Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
   2022/10/14 by Shui, Zeren, Karls, Daniel S., Wen, Mingjian +3 · 1 citation
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
4. An information-matching approach to optimal experimental design and active learning
   2024/11/05 by Kurniawan, Yonatan, Neilsen, Tracianne B., Francis, Benjamin L. +7 · 2 citations
   #Applied Physics (physics.app-ph) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)
5. Comparative study of ensemble-based uncertainty quantification methods for neural network interatomic potentials
   2025/08/08 by Kurniawan, Yonatan, Wen, Mingjian, Tadmor, Ellad B. +1 · 1 citation
   #Data Analysis #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)