Topological photonics von Lu, Ling, Joannopoulos, John D., Soljačić, Marin

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Large-Scale Optical Neural Networks Based on Photoelectric Multiplication von Hamerly, Ryan, Bernstein, Liane, Sludds, Alexander, Soljačić, Marin, Englund, Dirk

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Topological states in photonic systems von Lu, Ling, Joannopoulos, John D., Soljačić, Marin

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Plasmons in Graphene: Fundamental Properties and Potential Applications von Jablan, Marinko, Soljacic, Marin, Buljan, Hrvoje

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All-angle negative refraction of highly squeezed plasmon and phonon polaritons in graphene–boron nitride heterostructures von Lin, Xiao, Yang, Yi, Rivera, Nicholas, López, Josué J., Shen, Yichen, Kaminer, Ido, Chen, Hongsheng, Zhang, Baile, Joannopoulos, John D., Soljačić, Marin

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Controlling Cherenkov angles with resonance transition radiation von Lin, Xiao, Easo, Sajan, Shen, Yichen, Chen, Hongsheng, Zhang, Baile, Joannopoulos, John D., Soljačić, Marin, Kaminer, Ido

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Bound States in the Continuum in Fiber Bragg Gratings von Gao, Xingwei, Zhen, Bo, Soljačić, Marin, Chen, Hongsheng, Hsu, Chia Wei

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Enhancement of nonlinear effects using photonic crystals von Solja i, Marin, Joannopoulos, J. D

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Gated Orthogonal Recurrent Units: On Learning to Forget von Jing, Li, Gulcehre, Caglar, Peurifoy, John, Shen, Yichen, Tegmark, Max, Soljacic, Marin, Bengio, Yoshua

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Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery von Kim, Samuel, Lu, Peter Y., Mukherjee, Srijon, Gilbert, Michael, Jing, Li, Ceperic, Vladimir, Soljacic, Marin

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Computational inverse design for ultra-compact single-piece metalenses free of chromatic and angular aberration von Lin, Zin, Roques-Carmes, Charles, Christiansen, Rasmus E., Soljačić, Marin, Johnson, Steven G.

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Plasmonic Hinge Modes in Metal-Coated Nanolasers von Cho, Sangyeon, Yang, Yi, Soljačić, Marin, Yun, Seok Hyun

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Infrared Topological Plasmons in Graphene von Jin, Dafei, Christensen, Thomas, Soljačić, Marin, Fang, Nicholas X, Lu, Ling, Zhang, Xiang

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Inference in artificial intelligence with deep optics and photonics von Wetzstein, Gordon, Ozcan, Aydogan, Gigan, Sylvain, Fan, Shanhui, Englund, Dirk, Soljačić, Marin, Denz, Cornelia, Miller, David A. B., Psaltis, Demetri

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Extracting Interpretable Physical Parameters from Spatiotemporal Systems Using Unsupervised Learning von Lu, Peter Y., Kim, Samuel, Soljacic, Marin

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Deep learning with coherent nanophotonic circuits von Shen, Yichen, Harris, Nicholas C., Skirlo, Scott, Prabhu, Mihika, Baehr-Jones, Tom, Hochberg, Michael, Sun, Xin, Zhao, Shijie, Larochelle, Hugo, Englund, Dirk, Soljačić, Marin

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Intense Squeezed Light from Lasers with Sharply Nonlinear Gain at Optical Frequencies von Nguyen, Linh, Sloan, Jamison, Rivera, Nicholas, Soljačić, Marin

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Superlight inverse Doppler effect von Shi, Xihang, Lin, Xiao, Kaminer, Ido, Gao, Fei, Yang, Zhaoju, Joannopoulos, John D., Soljačić, Marin, Zhang, Baile

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Discovering conservation laws using optimal transport and manifold learning von Lu, Peter Y., Dangovski, Rumen, Soljačić, Marin

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Probing topological protection using a designer surface plasmon structure von Gao, Fei, Gao, Zhen, Shi, Xihang, Yang, Zhaoju, Lin, Xiao, Xu, Hongyi, Joannopoulos, John D., Soljačić, Marin, Chen, Hongsheng, Lu, Ling, Chong, Yidong, Zhang, Baile

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