3 papers
cond-mat.mtrl-sci2026
Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM
Jiadong Dan, Cheng Zhang, Leyi Loh +5
Artificial intelligence is rapidly advancing materials characterization, yet most applications in electron microscopy rely solely on image contrast, overlooking the chemical and ex…
cond-mat.mtrl-sci2026
Ferroelectric brightening of spin forbidden dark excitons in a WSe2/hybrid perovskite heterostructure
Xinyun Wang, Magdalena Grzeszczyk, Maxim Trushin +14
Long-lived dark excitons in monolayer WSe2 present promising candidates for carrying spin and valley information, but their optical access and spin manipulation have conventionally…
cond-mat.mes-hall2025
Tunable Ultra-Strong Magnon-Magnon Coupling Approaching the Deep-Strong Regime in a van der Waals Antiferromagnet
C. W. F. Freeman, H. Youel, A. K. Budniak +7
Antiferromagnetic (AFM) magnons in van der Waals (vdW) materials offer substantial potential for applications in magnonics and spintronics. In this study, we demonstrate ultra-stro…