AI-driven Photonics for Advanced Light Field Manipulation and Applications

The convergence of photonics and artificial intelligence has unfolded as a transformative journey, especially in the past five years, yielding a proliferation of fruitful works on a scale not seen. By virtue of its strong nonlinear fitting and generalization ability, artificial intelligence is found to reshape the way we design photonic structures and optimize optical systems, as it can alleviate the time-consuming, scenario-specific, and experience-orientated issues in conventional numerical simulations and physics-based methods. In addition, artificial intelligence can endow photonics-based devices with adaptivity to automatically cater for changing environment and external stimuli. Now, more exciting works with fundamental science and technological innovation are anticipated to unleash the full potential of artificial intelligence to photonics, achieving advanced light field manipulations and optical/photonic applications.

The aim of this Research Topic is to cover the latest advancements in artificial intelligence enabled photonics, from automatic design, latent physics discovery, to intelligent systems. We welcome submissions of Original Research and Review papers that speeds up the development of this field.

Areas to be covered in this Research Topic may include, but are not limited to:

Inverse design of photonics

Intelligent adaptive metasurfaces

Neuromorphic computing

Intelligent light field manipulation

Intelligent optical sensors

Intelligent light field detections

AI-driven structured light