Mechanically Programmable Diffractive Neural Networks Based on Pancharatnam‐Berry Phase (Adv. Funct. Mater. 9/2026)

Puntos clave

• Classification tasks can be performed using mechanically reconfigurable diffractive neural networks based on Pancharatnam-Berry phase.
• The system utilizes circularly polarized wave excitation, enabling advanced functionality in neural network applications.
• Observational analysis of diffractive neural networks illustrates their versatile capabilities in handling multiple tasks.
• The implications extend to potential advancements in AI and machine learning through novel optical technologies.