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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.mtrl-sci2026

Strain-Mediated Lattice Reconstruction Enhances Ferromagnetism in Cr2Ge2Te6/WTe2 van der Waals Heterobilayers

Franz Herling, Mireia Torres-Sala, Dorye L. Esteras +17

Van der Waals (vdW) heterostructures enable tailored electronic and magnetic phases by stacking atomically thin layers with pristine interfaces. Here, we investigate fully 2D Cr2Ge…

cond-mat.mtrl-sci2024

Toward Phonon-Limited Transport in Two-Dimensional Electronics by Oxygen-Free Fabrication

Subhrajit Mukherjee, Shuhua Wang, Dasari Venkatakrishnarao +14

Future electronics require aggressive scaling of channel material thickness while maintaining device performance. Two-dimensional (2D) semiconductors are promising candidates, but…

cond-mat.mtrl-sci2024

Spin-glass states generated in a van der Waals magnet by alkali-ion intercalation

S. Khan, E. S. Y. Aw, L. A. V. Nagle-Cocco +16

Tuning magnetic properties in layered van der Waals (vdW) materials has captured a significant attention due to the efficient control of ground-states by heterostructuring and exte…