Machine learning (ML) has seen promising developments in materials science, yet its efficacy largely depends on detailed crystal structural data, which are often complex and hard to obtain, limiting their applicability in real-world material synthesis processes. An alternative, using compositional descriptors, offers a...
Namkyeong Lee, Heewoong Noh, Gyoung S. Na et al.· Proceedings of the 32nd ACM...· 0 citations
DentVLM is a dental vision-language model developed to support dental diagnosis across seven oral imaging modalities and 36 tasks that surpasses junior readers, matches intermediate general practitioners and approaches senior specialists, and reduces diagnostic time by 15.0-37.0% in collaborative clinical workflows.
Zijie Meng, Jinxiang Hao, Xi-Wei Dai et al.· Nature Communications· 1 citation
Machine learning (ML) has seen promising developments in materials science, yet its efficacy largely depends on detailed crystal structural data, which are often complex and hard to obtain, limiting their applicability in real-world material synthesis processes. An alternative, using compositional descriptors, offers a...
Namkyeong Lee, Heewoong Noh, Gyoung S. Na et al.· Proceedings of the 32nd ACM...· 0 citations
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