Symposium EL06-Adaptive Nanophotonics—Tunable, Reprogrammable and Integrated Nanophotonics

This symposium addresses emerging topics of adaptive nanophotonics including dynamic metamaterials and metasurfaces, programable photonic integrated circuits (PICs), and neuromorphic photonics. Recent advances in nanophotonics overcome diffraction limit and have led to incredible insights and potential applications for novel optoelectronics in communications, imaging, and sensing. Realization of neuromorphic computing using PICs promises significantly higher instantaneous bandwidth and throughput over electronics-only hardware realizations. For further development of technology functioning in practical platforms, fully control over optical properties of incident light is crucial. Adaptive nanophotonics with tunability, reconfigurability, reprogrammability, and integrability are needed for the next generation of miniaturized devices and systems. The symposium overviews novel approaches achieving control over properties of nanophotonics post-fabrication utilizing phase-change materials, phase-transition materials, two-dimensional (2D) materials, transparent conductive oxides, perovskite, metal hydrides, piezo-electric materials, highly doped semiconductors, high mobility electron transistors (HEMTs), thin layer of liquid crystals, electro-optics effects, magneto-optical effects, and micro/nano-electromechanical systems (MEMS/NEMS). The symposium covers fundamental materials science, operation theory and design, advanced fabrication, devices, and applications. This symposium will not cover tunability enabled by bulk nonlinear crystals, bulk elastic substrate, and thick layer of liquid crystals.

Topics will include:

Dynamic metamaterials and metasurfaces
Programmable photonic integrated circuits
Neuromorphic photonics and all-optical computing
Physics and materials science of materials with tunable optical properties
Dynamic nanophotonics driven by all types of materials and mechanisms suitable for miniaturization
Operation theory and mechanism
Advanced design based on machine-learning techniques and new algorithm
Novel fabrication techniques
Devices and applications

Invited Speakers:

Ali Adibi (Georgia Institute of Technology, USA)
Andrea Alù (The City University of New York, USA)
Harry Atwater (California Institute of Technology, USA)
Sunil Bhave (Purdue University, USA)
Sergey I. Bozhevolnyi (University of Southern Denmark, Denmark)
Victor Brar (University of Wisconsin–Madison, USA)
Mark Brongersma (Stanford University, USA)
Federico Capasso (Harvard University, USA)
Alfredo De Rossi (Thales, France)
Jennifer Dionne (Stanford University, USA)
Andrei Faraon (California Institute of Technology, USA)
Juejun Hu (Massachusetts Institute of Technology, USA)
Yuri Kivshar (Australian National University, USA)
Arseniy I. Kuznetsov (Agency for Science, Technology and Research, Singapore)
Howard Lee (University of California, Irvine, USA)
Arka Majumdar (University of Washington, USA)
Mitchell Nahmias (Luminous Computing, USA)
Wolfram Pernice (Universität Münster, Germany)
Chengwei Qiu (National University of Singapore, Singapore)
Vladimir M. Shalaev (Purdue University, USA)
Ranjan Singh (Nanyang Technological University, Singapore)
Jason Valentine (Vanderbilt University, USA)
Junqiao Wu (University of California, Berkeley, USA)
Mengjie Yu (University of Southern California, USA)
Nikolay Zheludev (University of Southampton, United Kingdom)
Lei Zhou (Fudan University, China)