NeuralPDE: Automating physics-informed neural networks (PINNs) with error approximations

Published in arXiv, 2021

Recommended citation: Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Chris Rackauckas (2021), NeuralPDE: Automating physics-informed neural networks (PINNs) with error approximations https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rTk6DZgAAAAJ&sortby=pubdate&citation_for_view=rTk6DZgAAAAJ:u-x6o8ySG0sC