Papers
2
Total Citations
70
H-Index
2
About
An Chen is a pioneering researcher at the intersection of materials science and artificial intelligence, best known for spearheading the integration of generative AI into materials informatics. Their landmark paper, "MatGPT: A Vane of Materials Informatics from Past, Present, to Future" (2023), has garnered 68 citations and is widely recognized for mapping the transformative potential of large language models in accelerating new material discovery. By bridging physical chemistry with cutting-edge AI, Chen has helped establish a new paradigm where machine learning can predict material properties and guide experimental synthesis. In a notable departure, Chen also explores structural engineering, contributing a novel water storage system using stressed skin corrugated sheets under hydrostatic loads (2024). While this work is in its early stages, it demonstrates Chen’s versatility in applying thin-walled structural principles to practical building systems. With a growing citation footprint and a forward-looking vision, An Chen is a rising voice in the materials informatics community, inspiring students and researchers to reimagine how AI can revolutionize the design of tomorrow’s functional materials.
Research Focus
Key Achievements
Top Papers
- 1MatGPT: A Vane of Materials Informatics from Past, Present, to Future68 citations · 2023
- 2Behavior of stressed skin corrugated sheet under hydrostatic loads2 citations · 2024