
How AI can help in materials innovation – from discovery to design
By leveraging domain expertise and data-driven insights, AI-enabled platforms are poised to transform materials science to build a more sustainable future.
Jia Haojun holds a PhD in Physical Chemistry from Massachusetts Institute of Technology, where his research focused on applying AI and high-throughput quantum chemistry to design catalytic materials. He has published over 20 papers in leading journals across computational catalysis, quantum chemistry and functional materials, and has also conducted R&D at Dow Chemical Company. He served as president of the MIT Chinese Students and Scholars Association (2022–2023) and has been recognized on the Forbes China 100 Most Influential Chinese, Forbes 30 Under 30 China 2024, and Forbes 30 Under 30 Asia 2025 lists.
By leveraging domain expertise and data-driven insights, AI-enabled platforms are poised to transform materials science to build a more sustainable future.
Al combinar el conocimiento especializado con el análisis de datos, las plataformas potenciadas por IA están preparadas para transformar la ciencia de materiales.
