Publications

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

Physics-Informed Machine Learning Simulator for Wildfire Propagation

Published in AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, 2021

Recommended citation: L Bottero et al (2021), AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rTk6DZgAAAAJ&sortby=pubdate&citation_for_view=rTk6DZgAAAAJ:qjMakFHDy7sC&gmla=AJsN-F4XlU6Ew2u8lbABcn7160wrgWpicNvWDg6qe1Z2hG_dVY2ir7IRRP_WzPbM9T48HN0E70HaFt_suz2j5_Hjzd01lCmifw8PsQv0zes1pjJLO0JeF3I&sciund=11780103975415497734