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
Improving X-ray analytics: new publication in Nano Letters!
Just out in Nano Letters is our 100% lab-driven work on: Leveraging Machine Learning for Advanced Nanoscale X-ray Analysis: Unmixing Multicomponent Signals and Enhancing Chemical QuantificationIn this letter, LSME introduces a new method for processing STEM-EDX spectroscopy data sets, that we term non-negative matrix factorization based pan-sharpening (PSNMF). Leveraging the Poisson nature of EDX spectral (…)
Welcoming two new collaborators!
This November, we were pleased to have two new collaborators join the LSME team.During his studies of applied physics and renewable energy studies, Sebastian Cozma discovered a deep interest in microstructure characterization and analytical techniques. To pursue this interest, Sebastian is beginning a Ph.D. with Prof. Cécile Hébert on segmentation and quantification of STEM EDX (…)
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 (…)