Eric Stach of the School of Engineering and Applied Science and colleagues used neural networks to better identify the characteristics of catalysts that drive the creation of liquid fuels from sunlight. Shown here: The arrangement of a catalyst molecule, as observed under cryogenic conditions. The bright spots represent individual or small groups of molecules immobilized on a surface and the cryogenic temperature helps minimize clustering caused by the electron beam during imaging, allowing scientists to study the molecule’s distribution more accurately. (Image: Sungho Jeon)

by: John RussellPosted on: December 9, 2024December 11, 2024

Mapping molecular arrangements to pave the way for better catalytic systems

December 9, 2024

The Stach Group in Penn Engineering led a collaborative team identifying how chemical catalysts drive the creation of liquid fuels from sunlight, paving the way for more efficient removal of greenhouse gases from the atmosphere. Read more