Symposium F.NM02-Advanced Linear/Nonlinear, Tunable and Quantum Materials for Metasurfaces, Metamaterials and Plasmonics

Includes Symposium S.EL03—Novel Approaches and Material Platforms for Enhanced Light–Matter Interaction, Plasmonics and Metasurfaces

Metasurfaces are arrays of subwavelength anisotropic light scatters (optical antennas) that can produce abrupt changes in the phase, amplitude, or polarization of light. Within last few years’ significant progress, novel designs of metasurfaces that refract and focus light have enabled many unique properties and applications such as holograms, optical vortex generation/detection, ultrathin focusing lens, perfect absorber, etc.

This symposium will cover the fundamental principles and technological applications of metasurfaces and plasmonics, and particularly aim to explore on new tunable/nonlinear/quantum materials, structures, and advanced optical science/functionality of metasurfaces and plasmonics for applications spanning from imaging/display system, bio/chemical sensing, photovoltaics and energy harvesting devices, to quantum information processing, medical devices, communication system, and data storage. The symposium seeks to provide a general overview of recent advances in new design concepts and material platforms, including fabrication techniques and promising applications enabled by the new developments. Novel nonlinear and quantum phenomena and advanced design based on machine learning strategies and new simulation methods for metasurface, metamaterial, and plasmonic materials/devices are also of interest to this symposium.

• Metasurfaces, metamaterials, all-dielectric resonant structures
• Alternative plasmonic and metasurface materials
• Photonics with two-dimensional materials
• Materials with epsilon-near-zero and hyperbolic dispersion properties
• Tunable plasmonics, nano-photonics, metamaterials, metasurfaces
• Topological photonic and parity-time symmetric materials
• Biological and chemical sensing with plasmonics
• Quantum and nonlinear plasmonics and metasurfaces
• Nanophotonic devices and applications: imaging, sensing, and communications
• Photovoltaic applications and efficient light harvesting
• Advanced nanophotonic design based on machine learning strategies and new simulation methods​
• Novel fabrication techniques for improving plasmonic/metasurface properties

• Harry Atwater (California Institute of Technology, USA)
• Thomas Beechem (Sandia National Laboratories, USA)
• Pierre Berini (University of Ottawa, Canada)
• Nicolas Bonod (Institut Fresnel, France)
• Wenshan Cai (Georgia Institute of Technology, USA)
• Federico Capasso (Harvard University, USA)
• Che Ting Chan (Hong Kong University of Science and Technology, Hong Kong)
• Andrea Di Falco (University of St Andrews, Scotland)
• Jennifer Dionne (Stanford University, USA)
• Tal Ellenbogen (Tel Aviv University, Israel)
• Jonathan Fan (Stanford University, USA)
• Vivian Ferry (University of Minnesota, USA)
• Stavroula Foteinopoulou (The University of New Mexico, USA)
• Min Seok Jang (Korea Advanced Institute of Science and Technology, Republic of Korea)
• Nicholas Kotov (University of Michigan, USA)
• Khaxylyk Kudyshev (Purdue University, USA)
• Arseniy Kuznetsov (Agency for Science, Technology and Research, Singapore)
• Geoffrey Lerosey (École Supérieure de Physique et de Chimie Industrielles, France)
• Yuan Li (Huazhong University of Science and Technology, China)
• Ming Liu (University of California, Riverside, USA)
• Zhaowei Liu (University of California, San Diego, USA)
• Yuri Lu (Academia Sinica, Taiwan)
• Stefan Maier (Ludwig-Maximilians-Universität München, Germany)
• Lorenzo Mangolini (University of California, USA)
• Yogendra Mishra (Kiel University, USA)
• Hossein Mosallaei (Northeastern University, USA)
• Cun-Zheng Ning (Arizona State University, USA)
• Teri Odom (Northwestern University, USA)
• Nicolae Panoiu (University College London, United Kingdom)
• Junghyun Park (Samsung Advanced Institute of Technology, Republic of Korea)
• Dong Qin (Georgia Institute of Technology, USA)
• Junsuk Rho (Pohang University of Science and Technology, Republic of Korea)
• Vahid Sandoghdar (Max Planck Institute, Germany)
• Markus Schmidt (Friedrich-Alexander-Universität Jena, Germany)
• Matthew Sheldon (Texas A&M University, USA)
• Maxim Sukharev (Arizona State University, USA)
• Jing Hua Teng (Agency for Science, Technology and Research, Singapore)
• Hua Wang (Qufu Normal University, China)
• Jianfang Wang (Chinese University of Hong Kong, China)
• Xiaohu Xia (University of Central Florida, USA)
• Younan Xia (Georgia Institute of Technology, USA)
• Yuanmu Yang (Tsinghua University, China)
• Yadong Yin (University of California, Riverside, USA)
• Thomas Zentgraf (University of Paderborn, Germany)
• Shuang Zhang (University of Birmingham, United Kingdom)
• Xiang Zhang (University of Hong Kong, Hong Kong)
• Lei Zhou (Case Western Reserve University, USA)