Skip to content

Author

Gyoung S. Na

We have 2 of 38 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Aug 2026

Learning Probabilistic Compositional Representation of Crystalline Materials

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. · 0 citations
Book Open access Aug 2026

Learning Probabilistic Compositional Representation of Crystalline Materials

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. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.