Skip to content

Commit

Permalink
Creating 10.21105.joss.07522.crossref.xml
Browse files Browse the repository at this point in the history
  • Loading branch information
editorialbot committed Dec 20, 2024
1 parent 14f6850 commit 09dd276
Showing 1 changed file with 204 additions and 0 deletions.
204 changes: 204 additions & 0 deletions joss.07522/10.21105.joss.07522.crossref.xml
Original file line number Diff line number Diff line change
@@ -0,0 +1,204 @@
<?xml version="1.0" encoding="UTF-8"?>
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1"
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd"
xmlns:rel="http://www.crossref.org/relations.xsd"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
version="5.3.1"
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd">
<head>
<doi_batch_id>20241220224549-27dab46a7d93b86b945d2988301edecb4244eed8</doi_batch_id>
<timestamp>20241220224549</timestamp>
<depositor>
<depositor_name>JOSS Admin</depositor_name>
<email_address>[email protected]</email_address>
</depositor>
<registrant>The Open Journal</registrant>
</head>
<body>
<journal>
<journal_metadata>
<full_title>Journal of Open Source Software</full_title>
<abbrev_title>JOSS</abbrev_title>
<issn media_type="electronic">2475-9066</issn>
<doi_data>
<doi>10.21105/joss</doi>
<resource>https://joss.theoj.org</resource>
</doi_data>
</journal_metadata>
<journal_issue>
<publication_date media_type="online">
<month>12</month>
<year>2024</year>
</publication_date>
<journal_volume>
<volume>9</volume>
</journal_volume>
<issue>104</issue>
</journal_issue>
<journal_article publication_type="full_text">
<titles>
<title>DiffOpt: Parallel optimization of Jax models</title>
</titles>
<contributors>
<person_name sequence="first" contributor_role="author">
<given_name>Alan N.</given_name>
<surname>Pearl</surname>
<affiliations>
<institution><institution_name>HEP Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA</institution_name></institution>
</affiliations>
<ORCID>https://orcid.org/0000-0001-9820-9619</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Gillian D.</given_name>
<surname>Beltz-Mohrmann</surname>
<affiliations>
<institution><institution_name>HEP Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA</institution_name></institution>
</affiliations>
<ORCID>https://orcid.org/0000-0002-4392-8920</ORCID>
</person_name>
<person_name sequence="additional"
contributor_role="author">
<given_name>Andrew P.</given_name>
<surname>Hearin</surname>
<affiliations>
<institution><institution_name>HEP Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA</institution_name></institution>
</affiliations>
<ORCID>https://orcid.org/0000-0003-2219-6852</ORCID>
</person_name>
</contributors>
<publication_date>
<month>12</month>
<day>20</day>
<year>2024</year>
</publication_date>
<pages>
<first_page>7522</first_page>
</pages>
<publisher_item>
<identifier id_type="doi">10.21105/joss.07522</identifier>
</publisher_item>
<ai:program name="AccessIndicators">
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
</ai:program>
<rel:program>
<rel:related_item>
<rel:description>Software archive</rel:description>
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.14291795</rel:inter_work_relation>
</rel:related_item>
<rel:related_item>
<rel:description>GitHub review issue</rel:description>
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/7522</rel:inter_work_relation>
</rel:related_item>
</rel:program>
<doi_data>
<doi>10.21105/joss.07522</doi>
<resource>https://joss.theoj.org/papers/10.21105/joss.07522</resource>
<collection property="text-mining">
<item>
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.07522.pdf</resource>
</item>
</collection>
</doi_data>
<citation_list>
<citation key="jax2018github">
<article_title>JAX: Composable transformations of Python+NumPy programs</article_title>
<author>Bradbury</author>
<cYear>2018</cYear>
<unstructured_citation>Bradbury, J., Frostig, R., Hawkins, P., Johnson, M. J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., VanderPlas, J., Wanderman-Milne, S., &amp; Zhang, Q. (2018). JAX: Composable transformations of Python+NumPy programs (Version 0.3.13). http://github.com/google/jax</unstructured_citation>
</citation>
<citation key="Hearin:2021">
<article_title>A Differentiable Model of the Assembly of Individual and Populations of Dark Matter Halos</article_title>
<author>Hearin</author>
<journal_title>The Open Journal of Astrophysics</journal_title>
<issue>1</issue>
<volume>4</volume>
<doi>10.21105/astro.2105.05859</doi>
<cYear>2021</cYear>
<unstructured_citation>Hearin, A. P., Chaves-Montero, J., Becker, M. R., &amp; Alarcon, A. (2021). A Differentiable Model of the Assembly of Individual and Populations of Dark Matter Halos. The Open Journal of Astrophysics, 4(1), 7. https://doi.org/10.21105/astro.2105.05859</unstructured_citation>
</citation>
<citation key="Alarcon:2023">
<article_title>Diffstar: a fully parametric physical model for galaxy assembly history</article_title>
<author>Alarcon</author>
<issue>1</issue>
<volume>518</volume>
<doi>10.1093/mnras/stac3118</doi>
<cYear>2023</cYear>
<unstructured_citation>Alarcon, A., Hearin, A. P., Becker, M. R., &amp; Chaves-Montero, J. (2023). Diffstar: a fully parametric physical model for galaxy assembly history. 518(1), 562–584. https://doi.org/10.1093/mnras/stac3118</unstructured_citation>
</citation>
<citation key="Hearin:2023">
<article_title>DSPS: Differentiable stellar population synthesis</article_title>
<author>Hearin</author>
<issue>2</issue>
<volume>521</volume>
<doi>10.1093/mnras/stad456</doi>
<cYear>2023</cYear>
<unstructured_citation>Hearin, A. P., Chaves-Montero, J., Alarcon, A., Becker, M. R., &amp; Benson, A. (2023). DSPS: Differentiable stellar population synthesis. 521(2), 1741–1756. https://doi.org/10.1093/mnras/stad456</unstructured_citation>
</citation>
<citation key="Scott:1992">
<volume_title>Multivariate density estimation: Theory, practice, and visualization</volume_title>
<author>Scott</author>
<doi>10.2307/1270280</doi>
<isbn>9780471547709</isbn>
<cYear>1992</cYear>
<unstructured_citation>Scott, D. W. (1992). Multivariate density estimation: Theory, practice, and visualization. Wiley. https://doi.org/10.2307/1270280</unstructured_citation>
</citation>
<citation key="Cramer:1954">
<volume_title>Mathematical methods of statistics</volume_title>
<author>Cramer</author>
<cYear>1954</cYear>
<unstructured_citation>Cramer, H. (1954). Mathematical methods of statistics. Princeton Univ. Press. https://cds.cern.ch/record/107581</unstructured_citation>
</citation>
<citation key="Kennedy:1995">
<article_title>Particle swarm optimization</article_title>
<author>Kennedy</author>
<journal_title>Proceedings of ICNN’95 - international conference on neural networks</journal_title>
<volume>4</volume>
<doi>10.1109/ICNN.1995.488968</doi>
<cYear>1995</cYear>
<unstructured_citation>Kennedy, J., &amp; Eberhart, R. (1995). Particle swarm optimization. Proceedings of ICNN’95 - International Conference on Neural Networks, 4, 1942–1948 vol.4. https://doi.org/10.1109/ICNN.1995.488968</unstructured_citation>
</citation>
<citation key="Hafner:2021">
<article_title>mpi4jax: Zero-copy MPI communication of JAX arrays</article_title>
<author>Häfner</author>
<journal_title>Journal of Open Source Software</journal_title>
<issue>65</issue>
<volume>6</volume>
<doi>10.21105/joss.03419</doi>
<cYear>2021</cYear>
<unstructured_citation>Häfner, D., &amp; Vicentini, F. (2021). mpi4jax: Zero-copy MPI communication of JAX arrays. Journal of Open Source Software, 6(65), 3419. https://doi.org/10.21105/joss.03419</unstructured_citation>
</citation>
<citation key="Gray:2019">
<article_title>OpenMDAO: An open-source framework for multidisciplinary design, analysis, and optimization</article_title>
<author>Gray</author>
<journal_title>Structural and Multidisciplinary Optimization</journal_title>
<issue>4</issue>
<volume>59</volume>
<doi>10.1007/s00158-019-02211-z</doi>
<cYear>2019</cYear>
<unstructured_citation>Gray, J. S., Hwang, J. T., Martins, J. R. R. A., Moore, K. T., &amp; Naylor, B. A. (2019). OpenMDAO: An open-source framework for multidisciplinary design, analysis, and optimization. Structural and Multidisciplinary Optimization, 59(4), 1075–1104. https://doi.org/10.1007/s00158-019-02211-z</unstructured_citation>
</citation>
<citation key="Li:2005">
<article_title>Parallelizing particle swarm optimization</article_title>
<author>Li</author>
<journal_title>PACRIM. 2005 IEEE pacific rim conference on communications, computers and signal processing, 2005.</journal_title>
<doi>10.1109/PACRIM.2005.1517282</doi>
<cYear>2005</cYear>
<unstructured_citation>Li, B., &amp; Wada, K. (2005). Parallelizing particle swarm optimization. PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2005., 288–291. https://doi.org/10.1109/PACRIM.2005.1517282</unstructured_citation>
</citation>
<citation key="Blank:2020">
<article_title>Pymoo: Multi-objective optimization in Python</article_title>
<author>Blank</author>
<journal_title>IEEE Access</journal_title>
<volume>8</volume>
<doi>10.1109/access.2020.2990567</doi>
<cYear>2020</cYear>
<unstructured_citation>Blank, J., &amp; Deb, K. (2020). Pymoo: Multi-objective optimization in Python. IEEE Access, 8, 89497–89509. https://doi.org/10.1109/access.2020.2990567</unstructured_citation>
</citation>
</citation_list>
</journal_article>
</journal>
</body>
</doi_batch>

0 comments on commit 09dd276

Please sign in to comment.