The main objective of LENS is the development of instrumental methods as well as data treatment for advanced scientific problems in nanomaterials using Transmission Electron Microscopy and related techniques. LENS pursues challenging objectives in cutting-edge methodologies as the combination of electron tomography (ET), precession (EP) and electron energy loss spectroscopy (EELS), with machine learning and DFT simulation tools for data analysis.
During the last year, LENS has contributed, from the instrumental point of view, to the development of automated modes for electron diffraction tomography and also to the obtention of state-of-art materials, as mixed ionic-electronics conductors for solid oxide fuels cells and nanoparticles for magnetic applications with the combination of the most advanced HR-(S)TEM imaging and energy loss and X-ray spectroscopic techniques with unsupervised machine learning clustering algorithms.