Welcome to the Youngblood Photonics Lab at Pitt

Our 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.

News:

YPL receives grant for efficient and scalable photonic processors

Our Pitt Momentum Fund proposal entitled, “Highly Scalable and Efficient Deep Learning Accelerator Enabled by 3D Photonic Integration” has been generously funded by Pitt with additional matching financial support from the ECE department for nanofabrication (link to project page). Our lab will fabricate and demonstrate a hybrid photonic-electronic computing prototype... [Read More]

Reconfigurable smart windows using phase-change materials

Our paper entitled, “Reconfigurable Low-Emissivity Optical Coating Using Ultrathin Phase Change Materials,” has been published in ACS Photonics! Unlike most smart window technology which either transmits or blocks both visible and infrared light from the sun, we modulate our window’s properties only in the infrared. This allows us to leave... [Read More]

Nic graduates with honors!

Congratulations to Nicholas Nobile who completed his ECE degree with highest honors! Nic will be starting his PhD in our group this spring with a focus on developing reliable methods to electrically control optical PCMs. Well done and welcome to the group, Nic!

Nanocalligraphy paper combines art with advanced nanolithography

Congratulations to Nikolaos Farmakidis from the Advanced Nanoscale Engineering group at Oxford for his new paper entitled, “Exploiting rotational asymmetry for sub-50 nm mechanical nanocalligraphy.” This novel approach to nanolithography enabled Nik and co-lead author Jacob Swett to create complex patterns at the nanoscale inspired by the artwork of calligraphy... [Read More]

Youngblood Photonics Lab awarded collaborative NSF grant for ultra-fast machine learning

Our collaborative proposal entitled, “A Hybrid Co-processing Unit (HCU) using Phase-change Photonics in CMOS for Large-scale and Ultra-fast Machine Learning Acceleration” has been funded by NSF! Our lab will be collaborating with lead PI Sajjad Moazeni (UW) and co-PIs Mo Li (UW) and Lei Jiang (IU) to develop hybrid electronic-photonic... [Read More]

Youngblood Photonics Lab awarded NSF grant to improve phase-change device endurance

Nathan’s second NSF proposal entitled, “High-endurance phase-change devices for electrically reconfigurable optical systems” was funded! Our lab will be working in collaboration with co-PI Feng Xiong at Pitt to investigate the mechanisms limiting the endurance and cyclability of electrically-controlled, phase-change photonic memory. Read Pitt’s press release here. Link to NSF... [Read More]

Vivswan joins the lab!

The lab welcomes Vivswan Shah to Pitt! Vivswan is a new PhD student starting this fall who graduated from Illinois College with a double major in Physics and Computer Science. He will be developing waveguide-integrated 2D optoelectronic memory using MoTe2 and will use his coding chops to automate experiments in... [Read More]