Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yoolhee Kim"'
Publikováno v:
npj Computational Materials, Vol 6, Iss 1, Pp 1-9 (2020)
Materials discovery is often compared to the challenge of finding a needle in a haystack. While much work has focused on accurately predicting the properties of candidate materials with machine learning (ML), which amounts to evaluating whether a giv
Autor:
Edward Kim, Erin Antono, Jason Koeller, Astha Gargt, Julia Ling, James S. Peerless, Emre Sevgen, Stephen D. Edkins, Yoolhee Kim
Publikováno v:
MRS Communications. 10:18-24
In many materials development projects, scientists and research heads make decisions to guide the project direction. For example, scientists may decide which processing steps to use, what elements to include in their material selection, or from what
Publikováno v:
The Journal of Chemical Physics. 153:024112
Discovering novel chemicals and materials can be greatly accelerated by iterative machine learning-informed proposal of candidates-active learning. However, standard global error metrics for model quality are not predictive of discovery performance a
Publikováno v:
ECS Meeting Abstracts. :531-531
The energy density of batteries can be increased by utilizing metal-air batteries, allowing longer driving ranges in electric vehicles. Li-air and Na-air batteries have been investigated, but they come with many issues such as low efficiency, limited