Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jordyn Hales"'
Autor:
Xiaolin Ren, Jiarui Li, Wei-Chih Chen, Qiang Gao, Joshua J. Sanchez, Jordyn Hales, Hailan Luo, Fanny Rodolakis, Jessica L. McChesney, Tao Xiang, Jiangping Hu, Riccardo Comin, Yao Wang, Xingjiang Zhou, Zhihai Zhu
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract The mechanism of unconventional superconductivity in correlated materials remains a great challenge in condensed matter physics. The recent discovery of superconductivity in infinite-layer nickelates, as an analog to high-T c cuprates, has o
Externí odkaz:
https://doaj.org/article/32f5e15781f44bd7adbf1120691ec3c1
Autor:
Jordyn Hales, Utkarsh Bajpai, Tongtong Liu, Denitsa R. Baykusheva, Mingda Li, Matteo Mitrano, Yao Wang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Characterizing and controlling entanglement in quantum materials is crucial for the development of next-generation quantum technologies. However, defining a quantifiable figure of merit for entanglement in macroscopic solids is theoretically
Externí odkaz:
https://doaj.org/article/2b9ba06259e544aea25eb3acaf1f7b2c
Autor:
M Sabbir Salek, Pronab Kumar Biswas, Jacquan Pollard, Jordyn Hales, Zecheng Shen, Vivek Dixit, Mashrur Chowdhury, Sakib Mahmud Khan, Yao Wang
Publikováno v:
IEEE Access, Vol 11, Pp 96081-96092 (2023)
In-vehicle controller area network (CAN) is susceptible to various cyberattacks due to its broadcast-based communication nature. An attacker can inject false messages to a vehicle’s CAN via wireless communication, the infotainment system, or the on
Externí odkaz:
https://doaj.org/article/03c46af00af8471cba2ed22bb5cacb7e
Autor:
Yao Wang, Sakib Mahmud Khan, Mashrur Chowdhury, Vivek Dixit, Zecheng Shen, Jordyn Hales, Jacquan Pollard, Pronab Kumar Biswas, M Sabbir Salek
Controller area network (CAN) is susceptible to various cyberattacks due to its broadcast-based communication nature. In this study, we developed a hybrid approach for CAN intrusion detection using a classical convolutional neural network (CCNN) and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::164b49ebcfebbe71fac42091d39972ee
https://doi.org/10.36227/techrxiv.21907443
https://doi.org/10.36227/techrxiv.21907443
Publikováno v:
Biophotonics Congress 2021.
We present a study to determine the minimum spatial sampling resolution required to detect cancer cells. We compare results from Monte Carlo simulations and experiments using beads embedded in tissue phantoms with varying scattering properties.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99e3d145306c6c0175e776e6c1c95f4b
https://doi.org/10.1364/boda.2021.dw3a.7
https://doi.org/10.1364/boda.2021.dw3a.7