WELCOME TO OUR RESEARCH LAB PAGE!

Our research combines controlled synthesis, operando characterization, theoretical calculations, and interpretable machine learning to understand how atomic arrangements and interfaces influence catalytic activity and selectivity. We use this understanding to guide the development of more efficient and selective catalysts for applications in energy and the environment.

Current interests include multi-site catalyst design, CO₂ reduction, propane dehydrogenation, and machine-learning-guided catalyst discovery.

Recent News

• [2026/08] Our work on how nanoparticle location affects catalytic activity and selectivity has been published in Angew. Chem. Int. Ed. and selected for the Inside Front Cover.
• [2026/04] Our collaborative work on Ce₁ catalysts for automotive emissions control is published in JACS.
• [2026/04] Our work on CO₂ electroreduction at metal–oxide interfaces is published in ACS Catalysis.
• [2025/12] Shuxuan passed the candidacy exam.
• [2025/08] Our work on single-atom-promoted oxygen activation is published in Nature Communications.
• [2025/06] Our work on CO₂ hydrogenation at metal–oxide interfaces is published in ACS Catalysis.
• [2025/06] Shuxuan received the Kokes Award at the North American Catalysis Society Meeting.
• [2025/06] Dr. Huang delivered an oral presentation and Shuxuan presented a poster at NAM29 (Atlanta, GA).