2020年4月13日 · In this paper, we employ the emerging paradigm of physics-informed neural networks (PINNs) for the solution of representative inverse scattering problems in photonic metamaterials and nano-optics technologies.

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Yuyao Chen. Boston University. Verified email at bu.edu. optics deep learning inverse design. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; Physics-informed neural networks for inverse problems in nano-optics and metamaterials.

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My research interests center on Generalizable Embodied Intelligence, revolving around learning and Task And Motion Planning (TAMP) for robotic manipulation. I draw deep inspiration from humans’ remarkable ability to abstract environments and tasks, reducing the complexity of decision-making.

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