Nathan Youngblood

Department of Electrical and Computer Engineering, University of Pittsburgh
PhD in Electrical and Electronics Engineering, University of Minnesota, 2016
Summary:

Dr. Youngblood will join the Electrical and Computer Engineering Department at the University of Pittsburgh as a tenure-track assistant professor in September 2019. He received his PhD in electrical engineering from the University of Minnesota where his research focused on integrating 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 research interests include bi-stable optical materials, 2D material optoelectronics, and photonic architectures for machine learning.

Students

Nicholas Nobile

Graduate Student

nan65@pitt.edu
Benedum Hall, Pittsburgh PA, 15213

Affiliation:

Electrical and Computer Engineering
University of Pittsburgh

Dominique Pantin

Undergraduate Student

dlp80@pitt.edu
Benedum Hall, Pittsburgh PA, 15213

Affiliation:

Electrical and Computer Engineering
University of Pittsburgh

Sadra Rahimi Kari

Graduate Student

sar247@pitt.edu
Benedum Hall, Pittsburgh PA, 15213

Affiliation:

Electrical and Computer Engineering
University of Pittsburgh

Vivswan Shah

Graduate Student

vivswanshah@pitt.edu
Benedum Hall, Pittsburgh PA, 15213

Affiliation:

Electrical and Computer Engineering
University of Pittsburgh

Daniel Vaz

Graduate Student

dav56@pitt.edu
Benedum Hall, Pittsburgh PA, 15213

Affiliation:

Electrical and Computer Engineering
University of Pittsburgh
Most Cited Publications
  1. "Waveguide-integrated black phosphorus photodetector with high responsivity and low dark current." Nathan Youngblood, Che Chen, Steven J Koester, Mo Li. Nature Photonics. 2015.
  2. "All-optical spiking neurosynaptic networks with self-learning capabilities." J Feldmann, N Youngblood, CD Wright, H Bhaskaran, WHP Pernice. Nature 569 (7755), 208-214. 609. 2019.
  3. "Parallel convolutional processing using an integrated photonic tensor core." J Feldmann, N Youngblood, M Karpov, H Gehring, X Li, M Stappers, ... Nature 589 (7840), 52-58. 2021. 
  4. "Multifunctional graphene optical modulator and photodetector integrated on silicon waveguides." Nathan Youngblood, Yoska Anugrah, Rui Ma, Steven J Koester, Mo Li. Nano letters. 2014. 
  5. "In-memory computing on a photonic platform." C Ríos, N Youngblood, Z Cheng, M Le Gallo, WHP Pernice, CD Wright, ... Science advances 5 (2), eaau5759. 2019. 
Recent Publications
  1. "Photonic (computational) memories: tunable nanophotonics for data storage and computing." C Lian, C Vagionas, T Alexoudi, N Pleros, N Youngblood, C Ríos. Nanophotonics. 2022. 
  2. "Coherent Photonic Crossbar Arrays for Large-Scale Matrix-Matrix Multipication." N Youngblood. IEEE Journal of Selected Topics in Quantum Electronics. 2022. 
  3. "Electronically reconfigurable photonic switches incorporating plasmonic structures and phase change materials." N Farmakidis, N Youngblood, JS Lee, J Feldmann, A Lodi, Xi Li, ... Advanced Science, 2200383. 2022. 
  4. "Designing fast and efficient electrically driven phase change photonics using foundry compatible waveguide-integrated microheaters." JR Erickson, V Shah, Q Wan, N Youngblood, F Xiong. Optics Express 30 (8), 13673-13689. 
  5. "Reconfigurable low-emissivity optical coating using ultrathin phase change materials." N Youngblood, C Talagrand, BF Porter, CG Galante, Skneepkens, ... ACS Photonics 9 (1), 90-100. 2021. 

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