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We describe the initial efforts to use molecular beam epitaxy to grow InAs quantum dots on GaAs via the Stranski-Krastanow transition. We then discuss the initial efforts to use these quantum dots to demonstrate quantum dot lasers. We discuss the
Jeffrey Jargon, Xiaoxia Wu, Chih-Ming Wang, Alan Willner
We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return-to-zero on-off keying system.
Varun Verma, Jeff Chiles, Adriana Lita, Richard Mirin, Sae Woo Nam, Yao Zhai, Adam McCaughan, Emma Wollman, Alexander Walter, Boris Korzh, Jason Allmaras, Ekkehart Schmidt, S. Frasca, Matthew Shaw
Superconducting nanowire single-photon detectors, or SNSPDs, have become the highest-performing class of single-photon detectors in the near-IR. At telecom wavelengths, SNSPDs have demonstrated detection effi- ciency above 95%, intrinsic dark count rates
Ming Chun Tang, Siyuan Zhang, Nhan V. Nguyen, Edwin J. Heilweil, Christina A. Hacker, Timothy J. Magnanelli, Thomas D. Anthopoulos
Preventing the degradation of hybrid perovskite by humid air remains a challenge for their future commercial utilization. 3D/2D perovskites with hierarchical architecture have attracted significant attention due to their promising power conversion
Dileep Reddy, Robert R. Nerem, Sae Woo Nam, Richard Mirin, Varun Verma
Superconducting nanowire single-photon detectors (SNSPDs) are an enabling technology for a myriad of quantum-optics experiments that require high-efficiency detection, large count rates, and precise timing resolution. The system detection efficiency (SDE)
Kamal Choudhary, Kevin Garrity, Andrew C. Reid, Brian DeCost, Adam Biacchi, Angela R. Hight Walker, Zachary Trautt, Jason Hattrick-Simpers, Aaron Kusne, Andrea Centrone, Albert Davydov, Francesca Tavazza, Jie Jiang, Ruth Pachter, Gowoon Cheon, Evan Reed, Ankit Agrawal, Xiaofeng Qian, Vinit Sharma, Houlong Zhuang, Sergei Kalinin, Ghanshyam Pilania, Pinar Acar, Subhasish Mandal, David Vanderbilt, Karin Rabe
The Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated infrastructure to accelerate materials discovery and design using density functional theory (DFT), classical force-fields (FF), and machine learning (ML) techniques
Sara A. Alodan, Justin Gorham, Frank W. DelRio, Fadhel Alsaffar, Ghadeer Aljalham, Chongwu Zhou, Moh R. Amer
Newly explored two-dimensional (2D) materials have shown promising optical properties, owning to the tunable band gap of the layered material with its thickness. A widely used method to achieve tunable light emission (or photoluminescence) is through
Clarence Zarobila, Steven Grantham, Steven W. Brown, John T. Woodward IV, Stephen Maxwell, Dana R. Defibaugh, Thomas Larason, Kevin Turpie
We have designed a non-imaging telescope for measurement of the spectral irradiance of the moon. The telescope was integrated into a wing pod of a NASA ER-2 research aircraft to measure lunar spectral irradiance during flight. The telescope and support
Ari D. Feldman, Jeffrey A. Jargon, Tasshi Dennis, Paul D. Hale
We present the first-ever comparison of a photodiodes measured frequency response calibrated with an electro-optic sampling system and a heterodyne system up to 75 GHz, along with the systems respective 95% confidence intervals. A brief description of
Mark Bieler, Paul Struszewski, Ari Feldman, Jeffrey Jargon, Paul D. Hale, Pengwei Gong, Wen Xie, Chuntao Yang, Zhigang Feng, Kejia Zhao, Zhijun Yang
We report on the first international comparison in ultrafast waveform metrology. To this end, the frequency and time responses of a photodiode with a nominal bandwidth of 100 GHz have been measured by several National Metrology Institutes during the last
Robin P. Hansen, Amit K. Agrawal, Michael Shur, Jerry Tersoff, Babak Nikoobakht, Yuqin Zong
"Efficiency droop," i.e., a decline in brightness of light-emitting diodes (LEDs) at high electrical currents, limits the performance of all commercial LEDs and has limited the output power of submicrometer LEDs and lasers to nanowatts. We present a fin p
Alexander N. Tait, Sonia M. Buckley, Jeffrey M. Shainline, Adam N. McCaughan, Jeffrey T. Chiles, Sae Woo Nam, Richard P. Mirin
Superconducting optoelectronic networks could achieve scales unmatched in hardware-based neuromorphic computing. After summarizing recent progress in this area, we report new results in cryogenic silicon photonic light sources, components central to these