Andrej Singer received his Ph.D. degree (2012) in Physics from the University of Hamburg, Germany in the lab of Prof. Edgar Weckert and Prof. Ivan Vartanyants, following a Physics diploma from the University of Muenster, Germany. He studied the properties of new x-ray sources, particularly their ability to generate interference patterns, similar to lasers in optics. He then worked as a Postdoc in the lab of Prof. Oleg Shpyrko at the University of California San Diego. He joined the faculty of the department of Materials Science and Engineering at Cornell in 2017.
Our group uses state-of-the-art x-ray characterization to see inside complex nanomaterials during operation and harness the mesoscale phenomena for advanced functionality. Specifically, we are interested in understanding the fundamental interactions leading to increased electrocatalytic activity and durability of catalysts. We also apply x-ray imaging resonant and non-resonant diffraction to study ion intercalation and ion transport in materials for energy storage. Finally, we induce novel states in quantum materials and interrogate their properties with x-rays at free-electron lasers.
Research Group MembersStructure of materials, mechanical properties, advanced x-ray characterization, and kinetics of materials
Cornell researchers have captured an unprecedented, real-time view of how a promising catalyst material transforms during operation, providing new insights that could lead to replacement of expensive... Read more about X-ray study sheds light on cost-effective fuel cell materials
Researchers led by Cornell have discovered an unusual phenomenon in a metal-insulating material, providing valuable insights for the design of materials with new properties by way of faster switching... Read more about Surprise physics in insulating material offer path for faster tech
Cornell researchers have revealed the intricate nanotextures in thin-film materials, offering scientists a new, streamlined approach to analyzing potential candidates for quantum computing and... Read more about Machine learning enhances X-ray imaging of nanotextures
