Juo Kim

Title: Juo Kim and Machine-Learning-Assisted Materials Discovery.

Introduction

Juo Kim is an inventor associated with Soongsil University in Bucheon, South Korea. His listed patent focuses on using machine learning and computational verification to identify promising sodium superion conductor materials.

Latest Patents

Kim is credited with 1 patent: “Apparatus for Searching Sodium Superion Conductor Material Using Machine Learning Method.” The apparatus compares model outputs based on material characteristics with a preset threshold to classify candidate materials. It then uses Ewald summation to identify structures in electrochemically stable states and applies ab initio molecular dynamics (AIMD) simulation to select and provide final information about structures with high ionic conductivity.

Career Highlights

The patent reflects an approach that combines machine-learning-based screening with computational methods for evaluating material stability and ionic conductivity. This workflow is directed toward narrowing the search for sodium superion conductor materials.

Collaborations

The supplied information identifies Kyoungmin Min as Kim’s coworker. No further details about their collaboration or respective contributions are provided.

Conclusion

Juo Kim’s listed invention brings together machine learning, Ewald summation, and AIMD simulation to support the search for stable, highly conductive sodium superion conductor materials.