5 citations · 10 across the 6 of their papers we have counts for
3 papers · 1 filter
Semi-supervised teacher-student deep neural network for materials discovery
Daniel Gleaves, Edirisuriya M. Dilanga Siriwardane, Yong Zhao +2
Data driven generative machine learning models have recently emerged as one of the most promising approaches for new materials discovery. While the generator models can generate mi…
Physics guided deep learning generative models for crystal materials discovery
Yong Zhao, Edirisuriya MD Siriwardane, Jianjun Hu
Deep learning based generative models such as deepfake have been able to generate amazing images and videos. However, these models may need significant transformation when applied…
Crystal structure prediction using age-fitness multi-objective genetic algorithm and coordination number constraints
Wenhui Yang, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
Crystal structure prediction (CSP) has emerged as one of the most important approaches for discovering new materials. CSP algorithms based on evolutionary algorithms and particle s…