{"id":178,"date":"2023-05-02T12:39:51","date_gmt":"2023-05-02T16:39:51","guid":{"rendered":"https:\/\/sites.bu.edu\/mil\/?page_id=178"},"modified":"2025-04-28T09:30:40","modified_gmt":"2025-04-28T13:30:40","slug":"software","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/mil\/software\/","title":{"rendered":"Software"},"content":{"rendered":"<p><img loading=\"lazy\" src=\"\/mil\/files\/2023\/07\/method-636x358.png\" alt=\"\" width=\"547\" height=\"308\" class=\"alignnone wp-image-229\" srcset=\"https:\/\/sites.bu.edu\/mil\/files\/2023\/07\/method-636x358.png 636w, https:\/\/sites.bu.edu\/mil\/files\/2023\/07\/method-1024x576.png 1024w, https:\/\/sites.bu.edu\/mil\/files\/2023\/07\/method-768x432.png 768w, https:\/\/sites.bu.edu\/mil\/files\/2023\/07\/method-1200x675.png 1200w, https:\/\/sites.bu.edu\/mil\/files\/2023\/07\/method-992x558.png 992w, https:\/\/sites.bu.edu\/mil\/files\/2023\/07\/method.png 1280w\" sizes=\"(max-width: 547px) 100vw, 547px\" \/><\/p>\n<p><strong>SODAS++:\u00a0<\/strong>A Python toolkit for performing unsupervised graph manifold projections of atomistic trajectories\/structures.<\/p>\n<p>Website: Now integrated as part of Catalyst (see below)<\/p>\n<p><span style=\"font-size: 12.0pt;\">Aroboto, B., Chen, S., Hsu, T., Wood, B. C., Jiao, Y., Chapman, J., &#8220;<a href=\"https:\/\/pubs.aip.org\/aip\/apl\/article\/123\/9\/094103\/2909293\/Universal-and-interpretable-classification-of\"><em>Universal and interpretable classification of atomistic structural transitions via unsupervised graph learning<\/em><\/a>&#8220;, Applied Physics Letters, September 2023 <a href=\"\/mil\/files\/2023\/09\/094103_1_5.0156682.pdf\">PDF<\/a><br \/>\n<\/span><\/p>\n<p><img loading=\"lazy\" src=\"\/mil\/files\/2024\/05\/catalyst.jpg\" alt=\"\" width=\"308\" height=\"308\" class=\"alignnone wp-image-285\" srcset=\"https:\/\/sites.bu.edu\/mil\/files\/2024\/05\/catalyst.jpg 480w, https:\/\/sites.bu.edu\/mil\/files\/2024\/05\/catalyst-150x150.jpg 150w, https:\/\/sites.bu.edu\/mil\/files\/2024\/05\/catalyst-300x300.jpg 300w, https:\/\/sites.bu.edu\/mil\/files\/2024\/05\/catalyst-100x100.jpg 100w\" sizes=\"(max-width: 308px) 100vw, 308px\" \/><\/p>\n<p><strong>Catalyst: <\/strong>A Python API for atomic graph construction and graph neural network models (supervised and unsupervised).<\/p>\n<p>Website: <a href=\"https:\/\/github.com\/Materials-Informatics-Laboratory\/Catalyst\">Materials-Informatics-Laboratory\/Catalyst (github.com)<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>SODAS++:\u00a0A Python toolkit for performing unsupervised graph manifold projections of atomistic trajectories\/structures. Website: Now integrated as part of Catalyst (see below) Aroboto, B., Chen, S., Hsu, T., Wood, B. C., Jiao, Y., Chapman, J., &#8220;Universal and interpretable classification of atomistic structural transitions via unsupervised graph learning&#8221;, Applied Physics Letters, September 2023 PDF Catalyst: A Python [&hellip;]<\/p>\n","protected":false},"author":21170,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/mil\/wp-json\/wp\/v2\/pages\/178"}],"collection":[{"href":"https:\/\/sites.bu.edu\/mil\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/mil\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/mil\/wp-json\/wp\/v2\/users\/21170"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/mil\/wp-json\/wp\/v2\/comments?post=178"}],"version-history":[{"count":11,"href":"https:\/\/sites.bu.edu\/mil\/wp-json\/wp\/v2\/pages\/178\/revisions"}],"predecessor-version":[{"id":421,"href":"https:\/\/sites.bu.edu\/mil\/wp-json\/wp\/v2\/pages\/178\/revisions\/421"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/mil\/wp-json\/wp\/v2\/media?parent=178"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}