GROUP LEADER: DR. HARVEY GUTHREY
In the SCEM group we work on developing comprehensive characterization workflows to expose critical structure-composition-property relationships that define performance and longevity of materials and devices for sustainable energy applications. Central to this effort is the utilization of multi-scale multi-technique investigations using electron microscopy, scanning probe, advanced imaging, and spectroscopy platforms. High impact work requires not only producing high quality accurate characterization analyses but also statistically relevant datasets in order to drive change at the industrial level. To that end we are making use of the exciting new computational tools available. Artificial intelligence and machine learning approaches help us analyze larger amounts of imaging and spectroscopy data to reveal subtle trends related to synthesis and operational properties. We also use these tools to guide automated acquisition of microscopy data that allows us to make more efficient use of instrument time and reduce variability in datasets that can result from human operation. This is critical as the ability of advanced data analysis routines to illuminate material-property relationships hinges on the reliability of the input data.
Operando measurement techniques are also an important focus of the work in the SCEM group. While understanding the initial and post operation/stress states is invaluable, many interesting processes also occur during operation that can affect device performance. Thus, we are developing operando characterization techniques within electron microscopy and advanced imaging platforms to understand how operating conditions affect material-property relationships.
Our primary interests are materials and devices for production of solar fuels. This is a broad space encompassing catalysts, conductive and non-conductive thin films, semiconductors, photovoltaics, and energy storage technologies. Please reach out to us if you are interested in collaborating to advance materials characterization for sustainable energy technologies.