Research
Dr. Nathan Youngblood is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Pittsburgh with a secondary appointment in the Department of Physics and Astronomy. He received his PhD in electrical engineering from the University of Minnesota where his research focused on integration of 2D materials with silicon photonics for high-speed optoelectronic applications. From 2017 to 2019, he worked as a postdoctoral researcher at the University of Oxford developing phase-change photonic devices for integrated optical memory and computation. His current research focuses on developing reconfigurable photonic materials, devices, and architectures with potential to transform artificial intelligence by minimizing computing latency and energy consumption.
Awards
NSF CAREER, 2024
AFOSR Young Investigator Award, 2024
William Kepler Whiteford Faculty Fellow, 2024
Selected Publications
- Paolo Pintus, Mario Dumont, Vivswan Shah, Toshiya Murai, Yuya Shoji, Duanni Huang, Galan Moody, John E. Bowers, Nathan Youngblood, “Integrated nonreciprocal magneto-optics for photonic in-memory computing,” Nature Photonics 19, 54-62 (2025)
- Nathan Youngblood, Carlos Ríos, Wolfram Pernice, Harish Bhaskaran, “Integrated Optical Memristors,” Nature Photonics 17, 561–572 (2023)
- Johannes Feldmann* / Nathan Youngblood* / Maxim Karpov*, Helge Gehring, Xuan Li, Maik Stappers, Manuel Le Gallo, Xin Fu, Anton Lukashchuk, Arslan Raja, Junqiu Liu, C. David Wright, Abu Sebastian, Tobias Kippenberg, Wolfram Pernice, Harish Bhaskaran, “Parallel convolution processing using an integrated photonic tensor core,” Nature 589, 52–58 (2021)
- Nikolaos Farmakidis* / Nathan Youngblood*, Xuan Li, James Tan, Jacob L. Swett, Zengguang Cheng, Wolfram H. P. Pernice, C. David Wright, Harish Bhaskaran, “Plasmonic nanogap enhanced phase change devices with dual electrical-optical functionality,” Science Advances 5(11), eaaw2687 (2019)
- Johannes Feldmann, Nathan Youngblood, C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice, “All-optical spiking neurosynaptic networks with self-learning capabilities” Nature 569, 208–214 (2019)
- Carlos A. Rios* / Nathan Youngblood*, Zengguang Cheng, Manuel Le Gallo, Wolfram H. P. Pernice, C. David Wright, Abu Sebastian, Harish Bhaskaran, “In-memory computing on a photonic platform,” Science Advances5(2), eaau5759 (2019)