Computational discovery of new 2D materials using deep learning generative models
Sign Up to like & getrecommendations! Published in 2021 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.1c01044
Abstract: Two-dimensional (2D) materials have emerged as promising functional materials with many applications such as semiconductors and photovoltaics because of their unique optoelectronic properties. Although several thousand 2D materials have been screened in existing materials databases,… read more here.
Keywords: learning; computational discovery; new materials; deep learning ... See more keywords
Federated Learning of Generative Image Priors for MRI Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2022.3220757
Abstract: Multi-institutional efforts can facilitate training of deep MRI reconstruction models, albeit privacy risks arise during cross-site sharing of imaging data. Federated learning (FL) has recently been introduced to address privacy concerns by enabling distributed training… read more here.
Keywords: generative image; federated learning; learning generative; reconstruction ... See more keywords