Year: 2025
New multiscale Bayesian approach to quantification and denoising of energy-dispersive X-ray data
In a new publication in Machine Learning: Science and Technology, we describe a multiscale Bayesian approach for quantifying and denoising EDX spectrum images. The approach is innovated by LSME postdoc Pau Torruella working in collaboration with Abderrahim Halimi from Heriot-Watt University. Building on previous LSME developments for EDXS data processing, this approach leverages both the (…)
Engineering Symmetry Breaking Interfaces by Nanoscale Structural-Energetics in Orthorhombic Perovskite Thin Films
In our new research article published in ACS Nano, LSME scientists use detailed, quantitative scanning transmission electron microscopy analyses to identify and characterize a new type of structural interface created in epitaxially strained orthorhombic perovksite thin films. This study, which comes from a multi-year collaboration with functional oxide growth experts at the University of Geneva, (…)