Physics-guided NMF for phase separation and quantification of STEM-EDXS data
In a strong collaboration with the Swiss Data Science Center, we announce our latest publication From STEM-EDXS data to phase separation and quantification using physics-guided NMF in Machine Learning Science and Technology. In this paper, we present a detailed description of the theoretical principles and functioning of our new algorithm EsPM-NMF in the Python-based espm (…)
Electron beam writing of crystal structure at oxide interfaces
In collaboration with researchers from the Department of Quantum Matter Physics at the University of Geneva, we study the gap between strontium titanate membranes and Nb-doped strontium titanate carrier substrates onto which they have been transferred. In thermally annealed samples, raster scanning an intense STEM electron beam causes the residual Sr, Ti and O atoms (…)
EPFL news on enhanced chemical analysis at the nanoscale
In a front-page news article, EPFL profiles the latest publication from LSME, part of the lab’s ongoing work on innovating novel machine learning approaches for the improved analysis of analytical TEM data: AI enhances chemical analysis at the nanoscale
Teaching award for LSME director!
Congratulations to LSME director Prof. Cécile Hébert for being awarded the 2019 prize of best teacher in the Physics Section at the recent “Magistrale” Graduation Day!
Poster prize at Microscopy Conference 2019!
Congratulations to LSME PhD student Hui Chen, who received a Best Poster Award for Materials Science at the recent Microscopy Conference 2019 in Berlin. At the conference, Chen presented a poster on her ongoing research into improved STEM hyperspectral data segmentation and quantification entitled “STEM EDS/(EELS) for Deep-Mantle Rock Assemblages Analyses Assisted by Machine Learning”.
New in Nano Letters: Electronic Structure-Dependent Surface Plasmon Resonance in Single Au–Fe Nanoalloys
The prospect of creating nanoparticles with a combination of plasmonic and magnetic properties – so-called “magneto–plasmonics” – is interesting for potential applications from nanomedicine to plasmon-enhanced catalysis. In this new paper published in Nano Letters, we use correlative electron energy-loss spectroscopy and energy dispersive X-ray spectroscopy to relate the plasmonic properties of individual Au-Fe nanoparticles (…)