Zobrazeno 1 - 10
of 572
pro vyhledávání: '"P. Solgaard"'
Autor:
Chen, Ivy I., Solgaard, Jennifer, Sekine, Ryoto, Hossain, Azmain A., Ardizzi, Anthony, Catherall, David S., Marandi, Alireza, Renzas, James R., Greer, Frank, Minnich, Austin J.
Lithium niobate (LiNbO$_3$, LN) is a ferroelectric crystal of interest for integrated photonics owing to its large second-order optical nonlinearity and the ability to impart periodic poling via an external electric field. However, on-chip device per
Externí odkaz:
http://arxiv.org/abs/2310.10592
Autor:
Broaddus, Payton, Egenolf, Thilo, Black, Dylan S., Murillo, Melanie, Woodahl, Clarisse, Miao, Yu, Niedermayer, Uwe, Byer, Robert L., Leedle, Kenneth J., Solgaard, Olav
We demonstrate a silicon-based electron accelerator that uses laser optical near fields to both accelerate and confine electrons over extended distances. Two dielectric laser accelerator (DLA) designs were tested, each consisting of two arrays of sil
Externí odkaz:
http://arxiv.org/abs/2310.02434
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-10 (2024)
Abstract Climate change is driving an ongoing increase in tropical cyclone (TC) activity. While global economic losses are projected to double by 2100, there are no comparable predictions for TC impacts to coastal ecosystems that protect and sustain
Externí odkaz:
https://doaj.org/article/d1c2d2ab03d74925955893a428edaaa0
Autor:
Sun, Zhanghao, Pai, Sunil, Valdez, Carson, Milanizadeh, Maziyar, Melloni, Andrea, Morichetti, Francesco, Miller, David A. B., Solgaard, Olav
Optical phase measurement is critical for many applications and traditional approaches often suffer from mechanical instability, temporal latency, and computational complexity. In this paper, we describe compact phase sensor arrays based on integrate
Externí odkaz:
http://arxiv.org/abs/2305.02462
Autor:
Vaidya, Nina, Solgaard, Olav
Publikováno v:
Nature Springer, Microsystems & nanoengineering 8, 69 (2022)
Immersion optics enable creation of systems with improved optical concentration and coupling by taking advantage of the fact that the luminance of light is proportional to the square of the refractive index in a lossless optical system. Immersion gra
Externí odkaz:
http://arxiv.org/abs/2211.10804
Programmable unitary photonic networks that interfere hundreds of modes are emerging as a key technology in energy-efficient sensing, machine learning, cryptography, and linear optical quantum computing applications. In this work, we establish a theo
Externí odkaz:
http://arxiv.org/abs/2210.16935
Publikováno v:
Micro, Vol 4, Iss 2, Pp 334-347 (2024)
Micro-electromechanical systems (MEMS) have the potential to provide low-power phase shifting in silicon photonics, but techniques for designing low-loss devices are necessary for adoption of the technology. Based on coupled mode theory (CMT), we der
Externí odkaz:
https://doaj.org/article/867ef773fc1f47ac8454444add4ebefe
Publikováno v:
The Cryosphere, Vol 18, Pp 1947-1957 (2024)
Ice fractures when subject to stress that exceeds the material failure strength. Previous studies have found that a von Mises failure criterion, which places a bound on the second invariant of the deviatoric stress tensor, is consistent with empirica
Externí odkaz:
https://doaj.org/article/b475569cb8f24603af0be125712f1fcf
Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency
Autor:
Pai, Sunil, Park, Taewon, Ball, Marshall, Penkovsky, Bogdan, Milanizadeh, Maziyar, Dubrovsky, Michael, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A. B.
As blockchain technology and cryptocurrency become increasingly mainstream, ever-increasing energy costs required to maintain the computational power running these decentralized platforms create a market for more energy-efficient hardware. Photonic c
Externí odkaz:
http://arxiv.org/abs/2205.08512
Autor:
Pai, Sunil, Sun, Zhanghao, Hughes, Tyler W., Park, Taewon, Bartlett, Ben, Williamson, Ian A. D., Minkov, Momchil, Milanizadeh, Maziyar, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A. B.
Neural networks are widely deployed models across many scientific disciplines and commercial endeavors ranging from edge computing and sensing to large-scale signal processing in data centers. The most efficient and well-entrenched method to train su
Externí odkaz:
http://arxiv.org/abs/2205.08501