Dey, Poulumi

1. Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys
   2025/02/05 by Fei Shuang, Zixiong Wei, Shuang, Fei +7 · 8 citations
   Engineering · Materials Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Non-Destructive Testing Techniques #Welding Techniques and Residual Stresses
2. Modeling Extensive Defects in Metals through Classical Potential-Guided Sampling and Automated Configuration Reconstruction
   2024/11/11 by Fei Shuang, Kai Liu, Shuang, Fei +9 · 4 citations
   Engineering · Materials Science · #FOS: Physical sciences #Industrial Vision Systems and Defect Detection #Machine Learning in Materials Science #Manufacturing Process and Optimization #Materials Science (cond-mat.mtrl-sci)
3. Corrosion-resistant aluminum alloy design through machine learning combined with high-throughput calculations
   2023/12/26 by Yucheng Ji, Xiaoqian Fu, Ji, Yucheng +23 · 1 citation
   Engineering · Materials Science · #Aluminum Alloy Microstructure Properties #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Metal and Thin Film Mechanics
4. Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials
   2025/08/05 by Shuang, Fei, Wei, Zixiong, Liu, Kai +2 · 1 citation
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)