From 8cce73053cc18c148a3a29b758798dfc1d674287 Mon Sep 17 00:00:00 2001 From: Nicola Demo Date: Mon, 3 Apr 2023 13:46:24 +0200 Subject: [PATCH] advance -> advanced --- joss/paper.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/joss/paper.md b/joss/paper.md index d041e3e..849fd11 100644 --- a/joss/paper.md +++ b/joss/paper.md @@ -1,5 +1,5 @@ --- -title: 'Physics-Informed Neural networks for Advance modeling' +title: 'Physics-Informed Neural networks for Advanced modeling' tags: - python - deep learning @@ -51,7 +51,7 @@ The PINNs framework is completely general and applicable to different types of o ![PINA logo.\label{logo}](pina_logo.png){ width=20% } -\textbf{PINA}, \emph{Physics-Informed Neural networks for Advance modeling}, is a Python library built using PyTorch that provides a user-friendly API to formalize a large variety of physical problems and solve it using PINNs easily. +\textbf{PINA}, \emph{Physics-Informed Neural networks for Advanced modeling}, is a Python library built using PyTorch that provides a user-friendly API to formalize a large variety of physical problems and solve it using PINNs easily. # Statement of need PINA is an open-source Python library that provides an intuitive interface for the approximated resolution of Ordinary Differential Equations and Partial Differential Equations using a deep learning paradigm, in particular via PINNs.