Zobrazeno 1 - 10
of 72 630
pro vyhledávání: '"MALLAT, A."'
Autor:
Glinsky, Michael E., Maupin, Kathryn
Publikováno v:
Computational Mechanics 72, 291 (2023)
A Machine and Deep Learning methodology is developed and applied to give a high fidelity, fast surrogate for 2D resistive MHD simulations of MagLIF implosions. The resistive MHD code GORGON is used to generate an ensemble of implosions with different
Externí odkaz:
http://arxiv.org/abs/2302.10243
Autor:
Glinsky, Michael E., Moore, Thomas W., Lewis, William E., Weis, Matthew R., Jennings, Christopher A., Ampleford, David J., Knapp, Patrick F., Harding, Eric C., Gomez, Matthew R., Harvey-Thompson, Adam J.
Publikováno v:
Phys. Plasmas 27, 112703 (2020)
The morphology of the stagnated plasma resulting from Magnetized Liner Inertial Fusion (MagLIF) is measured by imaging the self-emission x-rays coming from the multi-keV plasma. Equivalent diagnostic response can be generated by integrated radiation-
Externí odkaz:
http://arxiv.org/abs/2005.01600
Autor:
Glinsky, Michael E., Moore, Thomas W., Lewis, William E., Weis, Matthew R., Jennings, Christopher A., Ampleford, David A., Harding, Eric C., Knapp, Patrick F., Gomez, Matthew. R., Lussiez, Sophia E.
The morphology of the stagnated plasma resulting from Magnetized Liner Inertial Fusion (MagLIF) is measured by imaging the self-emission x-rays coming from the multi-keV plasma, and the evolution of the imploding liner is measured by radiographs. Equ
Externí odkaz:
http://arxiv.org/abs/1911.02359
Autor:
Ninet, Antoni Abat i1, Tushnet, Mark2
Publikováno v:
American Journal of Comparative Law. Mar2018, Vol. 66 Issue 1, p229-232. 4p.
Score diffusion methods can learn probability densities from samples. The score of the noise-corrupted density is estimated using a deep neural network, which is then used to iteratively transport a Gaussian white noise density to a target density. V
Externí odkaz:
http://arxiv.org/abs/2410.11646
Publikováno v:
Transactions of the Chinese Society of Agricultural Engineering. 2017, Vol. 33 Issue 3, p190-197. 8p.
Autor:
Simeng Wang, Qingzhang Zhu, Guosheng Liang, Tania Franks, Magalie Boucher, Kendra K. Bence, Mingjian Lu, Carlos M. Castorena, Shangang Zhao, Joel K. Elmquist, Philipp E. Scherer, Jay D. Horton
Publikováno v:
The Journal of Clinical Investigation, Vol 132, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/1fc7f4c2eea94465b405660a8d64e00f
Autor:
Lempereur, Etienne, Mallat, Stéphane
Finding low-dimensional interpretable models of complex physical fields such as turbulence remains an open question, 80 years after the pioneer work of Kolmogorov. Estimating high-dimensional probability distributions from data samples suffers from a
Externí odkaz:
http://arxiv.org/abs/2405.03468
Autor:
Li, Jia, Chang, Liping
Publikováno v:
In Optik - International Journal for Light and Electron Optics December 2015 126(23):3982-3986
Publikováno v:
Gong-kuang zidonghua, Vol 40, Iss 12, Pp 65-69 (2014)
For the problem that traditional Fourier transform method caused big errors when analyzing power signals of power network under unstable running condition, a harmonic detection method for power network was proposed based on wavelet transform Mallat a
Externí odkaz:
https://doaj.org/article/da4a62ed32c64763bed0b98a292e25e1