이용혁 프로필 사진

이용혁

Lee, Yong Hyuk

공과대학

화공생물공학과

연구분야

  • Artificial Intelligence
  • Catalysis
  • Machine-learning
  • 머신러닝
  • 인공지능
  • 촉매

자료유형

발행연도

2026 ~ 2026
2026 2026

키워드

언어

전체 4건 중 1번부터 4번까지의 결과를 표시합니다.

2026
Article

Surface reconstruction tunes band edges and lattice-oxygen reactivity on BiVO4(010) photoanodes

  • 2026-05
  • Journal of Materials Chemistry A
  • Royal Society of Chemistry
Article

Ripening of Rh Nanoparticle Catalysts in Reverse Water-Gas Shift via a Data-Driven Model Combining Physics, Theory, and Experiment

  • Isenberg, Natalie M.
  • Lee, Yonghyuk
  • Colombo Tedesco, Carolina
  • Chen, Zhihengyu
  • Alexandrova, Anastassia N.
  • 외 3명
  • 2026-05
  • ACS Catalysis
  • American Chemical Society
Article

Fine-tuning bulk-oriented universal interatomic potentials for surfaces: accuracy, efficiency, and forgetting control

  • 2026-04
  • Computational Materials Science
  • ELSEVIER
Article

The Crucial Role of Hydrogen Ligation in the Stability of Single Atoms on Rutile TiO2: A First-Principles Study

  • Ghoshal, Sourav
  • Ezeakunne, Chidozie
  • Lee, Yonghyuk
  • Alexandrova, Anastassia N.
  • Kattel, Shyam
  • 2026-02
  • ACS Applied Materials and Interfaces
  • American Chemical Society