1 code implementation • 9 Apr 2024 • Anshuman Sinha, Spencer H. Bryngelson
We train a feed-forward neural network to compute integrals of highly oscillatory 1D functions.
1 code implementation • 30 Jul 2023 • Ajay Bati, Spencer H. Bryngelson
RoseNNa is a non-invasive, lightweight (1000 lines), and performant tool for neural network inference, with focus on the smaller networks used to augment PDE solvers, like those of CFD, which are typically written in C/C++ or Fortran.
1 code implementation • 23 Apr 2022 • Qi Zeng, Yash Kothari, Spencer H. Bryngelson, Florian Schäfer
Neural networks can be trained to solve partial differential equations (PDEs) by using the PDE residual as the loss function.
1 code implementation • 12 Aug 2020 • Spencer H. Bryngelson, Tim Colonius, Rodney O. Fox
QBMMlib is an open source Mathematica package of quadrature-based moment methods and their algorithms.
Computational Physics Fluid Dynamics
no code implementations • 15 Dec 2019 • Theresa Trummler, Spencer H. Bryngelson, Kevin Schmidmayer, Steffen J. Schmidt, Tim Colonius, Nikolaus A. Adams
The impact of a collapsing gas bubble above rigid, notched walls is considered.
Fluid Dynamics
1 code implementation • 25 Sep 2019 • Spencer H. Bryngelson, Tim Colonius
The acoustic wave behaviors in the spiral interior vary qualitatively with the vocalization frequency and net void fraction.
Fluid Dynamics
1 code implementation • 24 Jul 2019 • Spencer H. Bryngelson, Kevin Schmidmayer, Vedran Coralic, Jomela C. Meng, Kazuki Maeda, Tim Colonius
MFC is an open-source tool for solving multi-component, multi-phase, and bubbly compressible flows.
Computational Physics Fluid Dynamics 76T10, 76T30, 76N15
1 code implementation • 19 Mar 2019 • Kevin Schmidmayer, Spencer H. Bryngelson, Tim Colonius
We demonstrate the inadequacy of the traditional 5-equation model of Allaire et al. [1] for spherical bubble collapse problems and explain the corresponding advantages of the augmented model of Kapila et al. [2] for representing this phenomenon.
Fluid Dynamics Computational Physics