8 papers
Hybrid DiffractGPT-Rietveld Refinement Framework for Automated X-ray Diffraction Analysis
Charles Rhys Campbell, Justin Ely, Jaehyung Lee +2
X-ray diffraction (XRD) is fundamental to structural materials characterization, yet transforming a raw powder pattern into a refined crystal structure still demands considerable d…
RamanGPT: Bidirectional Mapping Between Crystal Structures and Raman Spectra with Graph Neural Networks and Generative Transformers
Frank M. Abel, Jaehyung Lee, Charles R. Campbell +1
Raman spectroscopy is one of the most accessible vibrational probes in materials laboratories, but its forward problem (structure to spectrum) is bottlenecked by the cost of densit…
Magnetodynamics of short nanoparticle chains
Thinh Q. Bui, Samuel D. Oberdick, Frank M. Abel +6
In recent years, there has been increasing interest in the understanding and application of nanoparticle assemblies driven by external fields. Although these systems can exhibit ma…
Machine Learning for Predicting Magnetization from X-ray Diffraction of Iron Oxide Nanoparticles Using Simple Physics-Based Data Generation
Frank M. Abel, Paige Burke, Daniel Wines +3
Automation and high-throughput characterization and synthesis for material development are becoming increasingly common; these approaches require machine learning (ML) tools to ass…
Anomalous low-field magnetoresistance in FeGa single crystals
Michelle E. Jamer, Gregory M. Stephen, Brandon Wilfong +6
FeGa possesses a helical spin spiral with a complex competition between ferromagnetic and antiferromagnetic ground states. This competition generates multiple metamagnetic…
Non-Altermagnetic Origin of Exchange Bias Behaviors in Incoherent RuO/Fe Bilayer Heterostructures
Shelby S. Fields, Joseph C. Prestigiacomo, Cory D. Cress +14
Initially identified as a promising altermagnetic (AM) candidate, rutile RuO has since become embroiled in controversy due to contradictory findings of modeling and measurement…