PythonFOAM: In-situ data analyses with OpenFOAM and Python

17 March 2021

Papers citing "PythonFOAM: In-situ data analyses with OpenFOAM and Python"

6 / 6 papers shown

Title
Deploying deep learning in OpenFOAM with TensorFlow R. Maulik Himanshu Sharma Saumil Patel Bethany Lusch Elise Jennings AI4CE 29 22 0 01 Dec 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 52 14,757 0 18 Jun 2020
A Fortran-Keras Deep Learning Bridge for Scientific Computing J. Ott M. Pritchard Natalie Best Erik J. Linstead M. Curcic Pierre Baldi AI4CE 20 96 0 14 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 242 42,038 0 03 Dec 2019
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems F. J. Gonzalez Maciej Balajewicz AI4CE 107 139 0 03 Aug 2018
Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks N. Geneva N. Zabaras BDL 29 125 0 08 Jul 2018