15 citations · 21 across the 4 of their papers we have counts for
4 papers
Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop
Lance Yao, Suman Samantray, Ayana Ghosh +4
The history of science is punctuated by serendipitous discoveries, where unexpected observations, rather than targeted hypotheses, opened new fields of inquiry. While modern autono…
A versatile machine learning workflow for high-throughput analysis of supported metal catalyst particles
Arda Genc, Justin Marlowe, Anika Jalil +2
Accurate and efficient characterization of nanoparticles (NPs), particularly regarding particle size distribution, is essential for advancing our understanding of their structure-p…
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials
Arda Genc, Libor Kovarik, Hamish L. Fraser
Heterogeneous catalysts possess complex surface and bulk structures, relatively poor intrinsic contrast, and often a sparse distribution of the catalytic nanoparticles (NPs), posin…
Ion irradiation of Fe-Fe oxide core-shell nanocluster films: Effect of interface on stability of magnetic properties
John S. McCloy, Weilin Jiang, Timothy C. Droubay +7
A cluster deposition method was used to produce films of loosely aggregated nanoclusters (NC) of Fe core-Fe3O4 shell or fully oxidized Fe3O4. Films of these NC on Si(100) or MgO(10…