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

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.

Most Cited Publications
  1. "Waveguide-integrated black phosphorus photodetector with high responsivity and low dark current."  Nathan Youngblood, Che Chen, Steven J Koester, and Mo Li.  Nature Photonics 9.4 (2015).
  2. "Multifunctional graphene optical modulator and photodetector integrated on silicon waveguides."  Nathan Youngblood, Yoska Anugrah, Rui Ma, Steven J Koester, and Mo Li.  Nano Letters 14.5 (2014).
  3. "Three-dimensional integration of black phosphorus photodetector with silicon photonics and nanoplasmonics."  Che Chen, Nathan Youngblood, Ruoming Peng, Daehan Yoo, Daniel A Mohr, Timothy W Johnson, Sang-Hyun Oh, and Mo Li.  Nano Letters 17.2 (2017).
  4. "Layer-tunable third-harmonic generation in multilayer black phosphorus."  Nathan Youngblood, Ruoming Peng, Andrei Nemilentsau, Tony Low, and Mo Li.  ACS Photonics 4.1 (2016).
  5. "Midinfrared electro-optic modulation in few-layer black phosphorus."  Ruoming Peng, Kaveh Khaliji, Nathan Youngblood, Roberto Grassi, Tony Low, and Mo Li.  Nano Letters 17.10 (2017).
Recent Publications
  1. "Phase change photonics for brain-inspired computing," N Youngblood, Z Cheng, N Farmakidis, X Li, J Tan, and H Bhaskaran.  Micro and Nanotechnology Sensorys, Systems, and Applications XI (2019)
  2. "All-photonic in-memory computing based on phase-change materials,"  C Rios, N Youngblood, Z Cheng, M Le Gallo, WHP Pernice, CD Wright, A Sebastian and H Bhaskaran.  CLEO: Science and Innovations (2019)
  3. "All-optical spiking neurosynaptic networks with self-learning capabilities," J Feldmann, N Youngblood, CD Wright, H Bhaskaran, and WHP Pernice.  Nature 569 (2019)
  4. "Non-volatile silicon photonic memory with more than 4-bit per cell capability," X Li, N Youngblood, CD Wright, WHP Pernice, and H Bhaskaran.  arXiv 1904.12740 (2019)
  5. "Integrated Phase-change Photonics: A Strategy for Mergin Communication and Computing,"  CD Wright, H Bhaskaran, WHP Pernice, SGC Carrillo, E Gemo, A Baldycheva, Z Cheng, X Li, C Rios, N Youngblood, J Feldmann, N Gruhler, and M Stegmaier.  Optical Fiber Communication Conference M1D.3 (2019)

Topological Protection of Photonic Mid-Gap Defect Modes

  • By Burcu Ozden
  • 12 June 2018

Kevin Chen and his colleagues have demonstrated in a proof-of-concept experiment that they can contain light in such a way that makes it highly insensitive to defects that might be present in a material.

"From the perspective of photonic engineers, this is a wonderful learning opportunity to see the connections between lightwave engineering at length scale of micrometers, and quantum mechanics that typically deals with electron waves at length scale 10,000 times smaller," noted Kevin P. Chen.

Microsystems Technology Office-Wide Broad Agency Announcement

  • By Aude Marjolin
  • 19 September 2016

MTO seeks to develop high-risk, high-reward technologies that create and prevent strategic surprise, help secure the Department of Defense's (DoD) technological superiority and address the complex threats facing U.S. national security. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice. 

Multidisciplinary Research Program of the University Research Initiative (MURI)

  • By Aude Marjolin
  • 9 May 2016

The MURI program supports basic research in science and engineering at U.S. institutions of higher education that is of potential interest to DoD.

The program is focused on multidisciplinary research efforts where more than one traditional discipline interacts to provide rapid advances in scientific areas of interest to the DoD. By supporting multidisciplinary teams, the program is complementary to other DoD basic research programs that support university research through single-investigator awards.

SAMSUNG Global Research Outreach (GRO) Program

  • By Aude Marjolin
  • 13 April 2016

The SAMSUNG Global Research Outreach (GRO) Program is an important part of growing SAMSUNG's (Samsung Electronics & related Samsung companies) academic research engagement and collaboration platforms. World-class university researchers have been annually invited since 2009 to propose novel research ideas and to work with our R&D teams to foster technological innovation. This has resulted in actively collaborative relationships with over 100 leading universities worldwide.