19 citations · 66 across the 6 of their papers we have counts for
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Machine learning force-field models for metallic spin glass
Menglin Shi, Sheng Zhang, Gia-Wei Chern
Metallic spin glass systems, such as dilute magnetic alloys, are characterized by randomly distributed local moments coupled to each other through a long-range electron-mediated ef…
Convolutional neural networks for large-scale dynamical modeling of itinerant magnets
Xinlun Cheng, Sheng Zhang, Phong C. H. Nguyen +3
Complex spin textures in itinerant electron magnets hold promises for next-generation memory and information technology. The long-ranged and often frustrated electron-mediated spin…
Machine learning for structure-property relationships: Scalability and limitations
Zhongzheng Tian, Sheng Zhang, Gia-Wei Chern
We present a scalable machine learning (ML) framework for predicting intensive properties and particularly classifying phases of many-body systems. Scalability and transferability…