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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1975 2
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1981 2
1982 1
1983 1
1984 2
1985 4
1986 4
1987 1
1988 3
1989 2
1990 4
1991 3
1992 3
1993 2
1994 4
1995 2
1996 2
1997 3
1998 7
1999 6
2000 6
2001 4
2002 9
2003 9
2004 11
2005 11
2006 12
2007 15
2008 8
2009 19
2010 20
2011 23
2012 16
2013 28
2014 32
2015 18
2016 21
2017 26
2018 27
2019 22
2020 26
2021 33
2022 32
2023 48
2024 16

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524 results

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Page 1
Did you mean inter channel【计】 (3,836 results)?
Fully-integrated photonic tensor core for image convolutions.
Marquez BA, Singh J, Morison H, Guo Z, Chrostowski L, Shekhar S, Prucnal P, Shastri BJ. Marquez BA, et al. Nanotechnology. 2023 Jul 13;34(39). doi: 10.1088/1361-6528/acde83. Nanotechnology. 2023. PMID: 37321201
Particle Capture in Solid-State Multipores.
Tsutsui M, Yokota K, Nakada T, Arima A, Tonomura W, Taniguchi M, Washio T, Kawai T. Tsutsui M, et al. ACS Sens. 2018 Dec 28;3(12):2693-2701. doi: 10.1021/acssensors.8b01214. Epub 2018 Nov 13. ACS Sens. 2018. PMID: 30421923
Meanwhile, we also observed significant contributions of the interchannel crosstalk in closely integrated multipores that tended to deteriorate throughput performance by causing shrinkage of the absorption zone via the interference-derived weakening of the electric field a …
Meanwhile, we also observed significant contributions of the interchannel crosstalk in closely integrated multipores that tended to d …
Two-pole microring weight banks.
Tait AN, Wu AX, Ferreira de Lima T, Nahmias MA, Shastri BJ, Prucnal PR. Tait AN, et al. Opt Lett. 2018 May 15;43(10):2276-2279. doi: 10.1364/OL.43.002276. Opt Lett. 2018. PMID: 29762571
Optical spatial modulation design.
Cogalan T, Haas H, Panayirci E. Cogalan T, et al. Philos Trans A Math Phys Eng Sci. 2020 Apr 17;378(2169):20190195. doi: 10.1098/rsta.2019.0195. Epub 2020 Mar 2. Philos Trans A Math Phys Eng Sci. 2020. PMID: 32114922 Free PMC article.
Deep-learning density functionals for gradient descent optimization.
Costa E, Scriva G, Fazio R, Pilati S. Costa E, et al. Phys Rev E. 2022 Oct;106(4-2):045309. doi: 10.1103/PhysRevE.106.045309. Phys Rev E. 2022. PMID: 36397567
We investigate how these instabilities occur when standard deep neural networks are adopted as regression models, and we show how to avoid them by using an ad hoc convolutional architecture featuring an interchannel averaging layer. The main testbed we consider is a realis …
We investigate how these instabilities occur when standard deep neural networks are adopted as regression models, and we show how to avoid t …
524 results