Our proposal on “Elucidating Structural Transformations in MoTe2 for Efficient Optoelectronic Memory” in collaboration with Feng Xiong from Pitt was funded! We are excited to better understand the mechanism for phase transition in the 2D material MoTe2 using optical and electrical techinques. See the following technical abstract for more information:... [Read More]
Welcome to the Youngblood Photonics Lab at PittOur research combines unique optoelectronic materials with nanophotonics to create new platforms for high-efficiency machine learning and high-precision biosensing. Key to our work is a fundamental understanding of light-matter interaction at the nanoscale and use of advanced nanofabrication techniques to address major challenges facing these disciplines. The following areas of research in our group are: 1) Photonic Devices and Architectures for Machine Learning; 2) Waveguide-Integrated Nanoplasmonics for High Density Biosensing; and 3) Waveguide-Integrated 2D Materials for High Performance Optoelectronics.
Calling all grad students!We have immediate openings for PhD students starting this academic year. Prospective graduate students interested in joining our group should apply to the PhD program in the ECE Department. Please email Nathan with your CV and research interests if you have an undergraduate degree in physics, EE, or a related field and would like to join the group.
Plasmonic nanogap enhanced phase-change devices with dual electrical-optical functionality
All-optical spiking neurosynaptic networks with self-learning capabilities
Our article on spiking neural networks using phase-change photonics has been published on Nature! News coverage includes an article by Geoffrey Burr in Nature News and Views and Oxford University. Many congratulations to first author Johannes Feldmann from Wolfram Pernice’s group. Read the article here.