From 7ae3c1c09aea8b0ed7e458804a59dd55bda2d0fb Mon Sep 17 00:00:00 2001
From: Daniel Albert <esclear@users.noreply.github.com>
Date: Mon, 11 Dec 2023 00:36:53 +0100
Subject: [PATCH] Add CITATION.cff file

---
 CITATION.cff | 39 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)
 create mode 100644 CITATION.cff

diff --git a/CITATION.cff b/CITATION.cff
new file mode 100644
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+++ b/CITATION.cff
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+# This CITATION.cff file was generated with cffinit.
+# Visit https://bit.ly/cffinit to generate yours today!
+
+cff-version: 1.2.0
+title: Port-Hamilton Neuronal Network
+message: >-
+  If you use this software, please cite it using the
+  metadata from this file.
+type: software
+authors:
+  - given-names: Daniel
+    family-names: Albert
+    orcid: 'https://orcid.org/0000-0003-2878-4284'
+identifiers:
+  - type: url
+    value: 'https://github.com/esclear/ph-nn'
+repository-code: 'https://github.com/esclear/ph-nn'
+abstract: >-
+  This is a TensorFlow implementation of Port-Hamiltonian
+  Neural Networks and their training based on the methods
+  described in the paper Port-Hamiltonian Approach to Neural
+  Network Training by Stefano Massaroli, Michael Poli,
+  et.al. (arXiv:1909.02702v1 [cs.NE]).
+
+
+  It is written for TensorFlow 2.1.0, but it may work with
+  future versions as well. A main focus in development was
+  usability and flexibility. The goal was that this
+  optimizer works with all regular models, i.e. models to
+  which other, more popular methods, such as SGD, could be
+  applied as well.
+keywords:
+  - tensorflow
+  - neuronal-networks
+  - python
+license: GPL-3.0
+commit: 48b1d12231cb8b33ad9c83a4e4d61c2ac01b3e98
+version: v1.0
+date-released: '2020-07-06'