5 papers
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy
Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70
Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…
Polarization Vortices in a Ferromagnetic Metal via Twistronics
Yingzhuo Lun, Xinxin Hu, Qi Ren +15
Recent advances in moire engineering provide new pathways for manipulating lattice distortions and electronic properties in low-dimensional materials. Here, we demonstrate that twi…
Enhancing atomic-resolution in electron microscopy: A frequency-domain deep learning denoiser
Ivan Pinto-Huguet, Marc Botifoll, Xuli Chen +6
Atomic resolution electron microscopy, particularly high-angle annular dark-field scanning transmission electron microscopy, has become an essential tool for many scientific fields…
Artificial Intelligence-Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling
Marc Botifoll, Ivan Pinto-Huguet, Enzo Rotunno +17
(Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the…
Evaluating the local bandgap across InxGa1-xAs multiple quantum wells in a metamorphic laser via low-loss EELS
Nicholas Stephen, Ivan Pinto-Huguet, Robert Lawrence +8
Using high resolution scanning transmission electron microscopy and low-loss electron energy loss spectroscopy, we correlate the local bandgap (Eg), indium concentration, and strai…