AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks von Shah, Vivswan, Youngblood, Nathan

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Designing fast and efficient electrically driven phase change photonics using foundry compatible waveguide-integrated microheaters von Erickson, John R, Shah, Vivswan, Wan, Qingzhou, Youngblood, Nathan, Xiong, Feng

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Integrated non-reciprocal magneto-optics with ultra-high endurance for photonic in-memory computing von Pintus, Paolo, Dumont, Mario, Shah, Vivswan, Murai, Toshiya, Shoji, Yuya, Huang, Duanni, Moody, Galan, Bowers, John E., Youngblood, Nathan

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Realization of an integrated coherent photonic platform for scalable matrix operations von Rahimi Kari, Sadra, Nobile, Nicholas A., Pantin, Dominique, Shah, Vivswan, Youngblood, Nathan

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Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments von Shah, Vivswan, Youngblood, Nathan

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AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks von Shah, Vivswan, Youngblood, Nathan

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Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments von Shah, Vivswan, Youngblood, Nathan

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