In-material physical computing based on reconfigurable microwire arrays via halide-ion segregation.

ABSTRACT: Conventional computer systems based on the Von Neumann architecture rely on silicon transistors with binary states for information representation and processing. However, exploiting emerging materials' intrinsic physical properties and dynamic behaviors offers a promising pathway for developing next-generation brain-inspired neuromorphic hardware. Here, we introduce a stable and controllable photoelectricity-induced halide-ion segregation effect in epitaxially grown mixed-halide perovskite CsPbBr_1.5I_1.5 microwire networks on mica, as confirmed by various in-situ measurements. The dynamic segregation and recovery processes show the reconfigurable, self-powered photoresponse, enabling non-volatile light information storage and precise modulation of optoelectronic proper

SUBMITTER: Li D 

PROVIDER: S-EPMC12214640 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature