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:
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Welcome to the Youngblood Photonics Lab at Pitt
Our research combines unique optoelectronic materials with scalable photonic circuits to create new platforms for low-latency machine learning, reconfigurable photonic devices, and 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) Programmable Photonic Devices and Architectures for Machine Learning; 2) Waveguide-Integrated Circuits for 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...
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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...
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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...
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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...
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Nic receives MCSI scholarship for summer research
Photonic in-memory tensor core article is published in Nature!
Our photonic in-memory computing paper in collaboration with the Pernice group at the University of Muenster, the Bhaskaran group at Oxford, the Kippenberg group at EPFL, and Abu Sebastian at IBM Zurich has been published in Nature! This work represents a major step forward in optical computing and is the...
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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...
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