Twisting van der Waals Heterostructures Enables Thermographic In‐Sensor Computing and Logics

Abstract

Abstract In‐sensor computing and logics are the core for advancing machine vision technology, but face challenges in extending such capability into thermal form. Here, a bioinspired thermoreceptor array based on twisted graphene and titanium diselenide (TiSe 2 ) heterostructures is presented. The electron‐phonon interaction between graphene and few‐layer TiSe 2 exhibits strong twist‐angle ( θ ) dependence, as evidenced by varied phonon‐induced gap of graphene (114 ± 13 meV for θ = 1° and 67 ± 6 meV for θ = 7°), enabling sensitive thermal reception at temperature range from 20 to 350 K. Integrating such heterostructure into a (64 × 64) thermoperception array with a convolutional neural network (CNN) framework promotes significant advancements in microscopic thermal imaging, enhancing thermal image detection accuracy by 46% and achieving 99% classification accuracy for pathological cell identification. In addition, the “AND” “OR”, and,“AND/OR” logic operations are demonstrated using these thermoreceptor arrays. This proof‐of‐concept thermoperception arrays also simplify the monolithically integrable architecture of machine vision and offer a potential solution for efficient in‐sensor computing and logics for next‐generation intelligent systems.