3 papers
cond-mat.dis-nn2025
Deep Generative Learning of Magnetic Frustration in Artificial Spin Ice from Magnetic Force Microscopy Images
Arnab Neogi, Suryakant Mishra, Prasad P Iyer +5
Increasingly large datasets of microscopic images with atomic resolution facilitate the development of machine learning methods to identify and analyze subtle physical phenomena em…
cond-mat.mtrl-sci2025
Data Mining and Computational Screening of Rashba-Dresselhaus Splitting and Optoelectronic Properties in Two-Dimensional Perovskite Materials
Robert Stanton, Wanyi Nie, Sergei Tretiak +1
Recent developments highlighting the promise of two-dimensional perovskites have vastly increased the compositional search space in the perovskite family. This presents a great opp…
physics.app-ph2025
Chirality transfer from chiral perovskite to molecular dopants via charge transfer states
Guan-Lin Chen, Hsinhan Tsai, Aaron Forde +8
Chiral perovskites are emerging semiconducting materials with broken symmetry that can selectively absorb and emit circularly polarized light. However, most of the chiral perovskit…