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
You Do It, AI Does It, You Compare and Reflect: Exploring Reflective Learning With Generative AI in Principles of Marketing
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Marketing Education"
DOI: 10.1177/02734753251356691
Abstract: This study explores how a structured comparative assignment, “You do it, GAI does it, you compare and reflect,” can support reflective learning in marketing education. Drawing on a dual methodology of systematic literature review and… read more here.
Keywords: gai; learning generative; reflective learning; exploring reflective ... See more keywords