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pro vyhledávání: '"May, Patrick"'
Artificial neural networks (ANNs) have evolved from the 1940s primitive models of brain function to become tools for artificial intelligence. They comprise many units, artificial neurons, interlinked through weighted connections. ANNs are trained to
Externí odkaz:
http://arxiv.org/abs/2404.09510
Autor:
Herziger, Felix, Calandra, Matteo, Gava, Paola, May, Patrick, Lazzeri, Michele, Mauri, Francesco, Maultzsch, Janina
Publikováno v:
Phys. Rev. Lett. 113, 187401 (2014)
By computing the double-resonant Raman scattering cross-section completely from first principles and including electron-electron interaction at the $GW$ level, we unravel the dominant contributions for the double-resonant 2D-mode in bilayer graphene.
Externí odkaz:
http://arxiv.org/abs/1410.1316
Autor:
Cromie, Gareth A., Hyma, Katie E., Ludlow, Catherine L., Garmendia-Torres, Cecilia, Gilbert, Teresa L., May, Patrick, Huang, Angela A., Dudley, Aimée M., Fay, Justin C.
The budding yeast Saccharomyces cerevisiae is important for human food production and as a model organism for biological research. The genetic diversity contained in the global population of yeast strains represents a valuable resource for a number o
Externí odkaz:
http://arxiv.org/abs/1303.4835
Publikováno v:
Phys. Rev. B 85, 235447 (2012)
We present a double-resonant Raman mode in few-layer graphene, which is able to probe the number of graphene layers reliably. This so-called N mode on the low-frequency side of the G mode results from a double-resonant Stokes/anti-Stokes process comb
Externí odkaz:
http://arxiv.org/abs/1203.6043
Autor:
May, Patrick
Publikováno v:
In Journal of Historical Geography April 2017 56:146-147
Autor:
May, Patrick
Publikováno v:
Investigate; Apr/May2014, Vol. 10 Issue 143, p45-45, 2/3p
Autor:
Schäfer, Tim1 tim.schaefer@bioinformatik.uni-frankfurt.de, Scheck, Andreas1, Bruneβ, Daniel1, May, Patrick2, Koch, Ina1 ina.koch@bioinformatik.uni-frankfurt.de
Publikováno v:
Bioinformatics. 2/1/2016, Vol. 32 Issue 3, p474-476. 3p.