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ORCIDJournal of Computational Physics, Volume 383
Volume 383, April 2019
- Henning Scheufler
, Johan Roenby:
Accurate and efficient surface reconstruction from volume fraction data on general meshes. 1-23 - Zhiguo Yang, Lianlei Lin, Suchuan Dong:
A family of second-order energy-stable schemes for Cahn-Hilliard type equations. 24-54 - Brian C. Vermeire, Niki Andreas Lopi, Peter E. Vincent:
Optimal Runge-Kutta schemes for pseudo time-stepping with high-order unstructured methods. 55-71 - Ju Liu, Alison L. Marsden:
A robust and efficient iterative method for hyper-elastodynamics with nested block preconditioning. 72-93 - Gregory Beylkin, Lucas Monzón, Xinshuo Yang:
Reduction of multivariate mixtures and its applications. 94-124 - Nicholas Geneva, Nicholas Zabaras:
Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks. 125-147 - Chitrarth Lav, Richard D. Sandberg, Jimmy Philip:
A framework to develop data-driven turbulence models for flows with organised unsteadiness. 148-165 - Steven Atkinson, Nicholas Zabaras:
Structured Bayesian Gaussian process latent variable model: Applications to data-driven dimensionality reduction and high-dimensional inversion. 166-195 - Yixin Lin, G. R. Liu, Guangyu Wang:
A particle-based free surface detection method and its application to the surface tension effects simulation in smoothed particle hydrodynamics (SPH). 196-206
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