Zobrazeno 1 - 10
of 1 274
pro vyhledávání: '"Rognlien, A."'
This paper introduces a novel optimization framework for deep neural network (DNN) hardware accelerators, enabling the rapid development of customized and automated design flows. More specifically, our approach aims to automate the selection and conf
Externí odkaz:
http://arxiv.org/abs/2306.08746
Publikováno v:
Nuclear Materials and Energy, Vol 41, Iss , Pp 101811- (2024)
UEDGE simulations with density scans for various input power, transport coefficients and outer poloidal leg length are performed to study the conditions for the existence of a bifurcation-like drop of Te at the outer strike point, commonly referred t
Externí odkaz:
https://doaj.org/article/06cd3549a4f1448888161a394794e1da
Autor:
Zhu, Ben, Zhao, Menglong, Bhatia, Harsh, Xu, Xue-qiao, Bremer, Peer-Timo, Meyer, William, Li, Nami, Rognlien, Thomas
We present a fast and accurate data-driven surrogate model for divertor plasma detachment prediction leveraging the latent feature space concept in machine learning research. Our approach involves constructing and training two neural networks. An aut
Externí odkaz:
http://arxiv.org/abs/2206.09964
Publikováno v:
In Nuclear Materials and Energy December 2024 41
Autor:
Holm, Andreas a, ⁎, Wilcox, Robert S. b, Yu, Jonathan H. c, Rognlien, Thomas D. a, Rensink, Marvin E. a, Scotti, Filippo a, Maurizio, Roberto c, Allen, Steve L. a, Choi, Wilkie c, Leonard, Anothony W. c, Shafer, Morgan W. b, Groth, Mathias d, McLean, Adam a
Publikováno v:
In Nuclear Materials and Energy December 2024 41
Publikováno v:
Math Geosci (2022)
This study suggests a stochastic model for time series of daily-zonal (circumpolar) mean stratospheric temperature at a given pressure level. It can be seen as an extension of previous studies which have developed stochastic models for surface temper
Externí odkaz:
http://arxiv.org/abs/2107.00825
Digital twins are emerging in many industries, typically consisting of simulation models and data associated with a specific physical system. One of the main reasons for developing a digital twin, is to enable the simulation of possible consequences
Externí odkaz:
http://arxiv.org/abs/2103.07405
In this paper, we study the stochastic optimal control problem for the PReP vaccine in the stochastic model for HIV/AIDS with PReP. By using the stochastic maximum principle, we derive the stochastic optimal control of PReP for the unconstrained cont
Externí odkaz:
http://arxiv.org/abs/2009.03594
Publikováno v:
E-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, Editors Piero Baraldi, Francesco Di Maio and Enrico Zio, 2020
Classical environmental contours are used in structural design in order to obtain upper bounds on the failure probabilities of a large class of designs. Buffered environmental contours serve the same purpose, but with respect to the so-called buffere
Externí odkaz:
http://arxiv.org/abs/2009.03569
Publikováno v:
Statistics and Computing, vol. 31, no. 27 (2021)
Structural reliability analysis is concerned with estimation of the probability of a critical event taking place, described by $P(g(\textbf{X}) \leq 0)$ for some $n$-dimensional random variable $\textbf{X}$ and some real-valued function $g$. In many
Externí odkaz:
http://arxiv.org/abs/2007.00402