2 papers
physics.ins-det2026
Automated end-station at the soft X-ray beamline featuring robotic air-to-ultrahigh-vacuum sample transfer, scanning probe spectroscopy, and machine learning analysis
Keita Hiromori, Masashige Miyamoto, Masafumi Horio +4
Driven by the growing integration of artificial intelligence and robotics in experimental science, we redefine the execution of user experiments at synchrotron soft X-ray beamlines…
cond-mat.mtrl-sci2026
Decoding Dopant-Induced Electronic Modulation in Graphene via Region-Resolved Machine Learning of XANES
Yinan Wang, Arpita Varadwaj, Teruyasu Mizoguchi +1
Revealing how heteroatom doping alters the local electronic structure of graphene is crucial for understanding and controlling its functional properties. In this study, we combine…