Boltzmann

Results: 656



#Item
241Software / Computational physics / Partial differential equations / Computational science / Lattice Boltzmann methods / Navier–Stokes equations / Fluid-structure interaction / Ludwig Boltzmann / Lis / Physics / Computational fluid dynamics / Fluid dynamics

Performance and Accuracy of Lattice-Boltzmann Kernels on Multi- and Manycore Architectures Dirk Ribbrock, Markus Geveler, Dominik G¨oddeke, Stefan Turek Institut f¨ur Angewandte Mathematik und Numerik (LS3), TU Dortmun

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Source URL: www.mathematik.tu-dortmund.de

Language: English - Date: 2010-03-04 17:49:05
242Fluid mechanics / Fluid-structure interaction / Navier–Stokes equations / Lattice / Ludwig Boltzmann / Lattice Boltzmann methods / Physics / Fluid dynamics / Aerodynamics

Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors Markus Geveler, Dirk Ribbrock, Dominik G¨oddeke, and Stefan Turek Institut f¨ ur Angewandte

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Source URL: www.mathematik.uni-dortmund.de

Language: English - Date: 2010-09-07 06:47:07
243Fluid mechanics / Fluid-structure interaction / Navier–Stokes equations / Lattice / Ludwig Boltzmann / Lattice Boltzmann methods / Physics / Fluid dynamics / Aerodynamics

Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors Markus Geveler, Dirk Ribbrock, Dominik G¨oddeke, and Stefan Turek Institut f¨ ur Angewandte

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Source URL: www.mathematik.tu-dortmund.de

Language: English - Date: 2010-09-07 06:47:07
244Occupational safety and health / Management / Disaster preparedness / Emergency management / Humanitarian aid

Brief  presentations  W16:  IMPLEMENTATION  IN  (PUBLIC)  HEALTH     Presenter   Wolfgang  Duer   Organisation  &  Country   Ludwig  Boltzmann  Institute  Health  Pr

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Source URL: gic.globalimplementation.org

Language: English - Date: 2015-02-27 00:30:25
245Computational neuroscience / Science / Ludwig Boltzmann / Algorithm / Discriminative model / Knowledge / Mathematics / Neural networks / Machine learning / Boltzmann machine

ATOMIC ENERGY MODELS FOR MACHINE LEARNING: ATOMIC RESTRICTED BOLTZMANN MACHINES by Hasari Tosun

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Source URL: www.cs.montana.edu

Language: English - Date: 2014-11-11 15:30:27
246Cybernetics / Speech recognition / Boltzmann machine / Perceptron / Hidden Markov model / Autoencoder / Neural networks / Machine learning / Science

UNSUPERVISED CROSS-LINGUAL KNOWLEDGE TRANSFER IN DNN-BASED LVCSR Pawel Swietojanski, Arnab Ghoshal and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB .

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2012-12-06 15:55:27
247Learning / Artificial intelligence / Boltzmann machine / Supervised learning / Regularization / Autoencoder / Pattern recognition / Overfitting / Machine learning / Neural networks / Statistics

Under review as a conference paper at ICLRN EURAL N ETWORK R EGULARIZATION W EIGHT FACTORIZATION VIA

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Source URL: www.uoguelph.ca

Language: English - Date: 2014-12-30 23:06:44
248Molecular physics / Quantum chemistry / Ions / Ludwig Boltzmann / Electron / Ionization / Physics / Chemistry / Atomic physics

Monosilane (SiH4) 1. Recommended electron collision cross sections Source: (1) Elastic momentum transfer cross section Energy(eV)

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Source URL: dpc.nifs.ac.jp

Language: English - Date: 2008-03-18 07:49:26
249Electronic band structure / Electron / Ludwig Boltzmann / Mercury telluride / Insulator / Introduction to quantum mechanics / Zeeman effect / Band gap / Quantum mechanics / Physics / Topological insulator / Spintronics

Berry Curvature as a Multi-Band Effect in Boltzmann Equations Asger Johannes Skjøde Bolet Supervisor: Jens Paaske

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Source URL: qdev.nbi.ku.dk

Language: English - Date: 2015-04-30 23:12:38
250Fundamental constants / Electronvolt / Dimensionless physical constant / Fine-structure constant / Coupling constant / Planck constant / Bohr magneton / Stefan–Boltzmann constant / Avogadro constant / Physics / Measurement / Physical constants

1. Physical constantsPHYSICAL CONSTANTS Table 1.1. Reviewed 2013 by P.J. Mohr (NIST). Mainly from the “CODATA Recommended Values of the Fundamental Physical Constants:

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Source URL: hepdata.cedar.ac.uk

Language: English - Date: 2014-08-21 16:37:45
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