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.
We are excited to report the award of another collaborative NSF grant entitled, “Fast and efficient phase-change photonics using low-dimensional materials.” We will be working with our good friend Prof. Carlos Rios (UMD) who is leading this project and is a pioneer in optical phase-change materials. Our groups will be... [Read More]
YPL awarded collaborative grant with UMN for trapping and sorting viruses
Our collaborative proposal entitled, “Waveguide-Integrated Graphene Nano-tweezERs (WIGNER) for rapid sorting and analysis of nanovesicles and viruses” has been funded by NSF! Our lab will be working with co-PI Sang-Hyun Oh (UMN), an expert in trapping and sensing at the nanoscale, to develop a fully integrated optical platform for rapid... [Read More]
Publish, publish, publish!
We are happy to announce five new papers which have been published by YPL and our collaborators within the last few months. Here is a brief description of each: [Read More]
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]
YPL welcomes three new PhD students!
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!
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]