{"id":1576,"date":"2023-11-12T21:01:36","date_gmt":"2023-11-13T01:01:36","guid":{"rendered":"https:\/\/sites.nd.edu\/jianxun-wang\/?page_id=1576"},"modified":"2024-04-10T10:41:07","modified_gmt":"2024-04-10T14:41:07","slug":"animations","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/jianxun-wang\/animations\/","title":{"rendered":"Animations"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">2024, <a href=\"https:\/\/sites.nd.edu\/jianxun-wang\/confild-conditional-neural-field-latent-diffusion-model-generating-spatiotemporal-turbulence\/\" data-type=\"link\" data-id=\"https:\/\/sites.nd.edu\/jianxun-wang\/confild-conditional-neural-field-latent-diffusion-model-generating-spatiotemporal-turbulence\/\"><strong>CoNFiLD<\/strong>: <strong>Co<\/strong>nditional <strong>N<\/strong>eural <strong>Fi<\/strong>eld <strong>L<\/strong>atent <strong>D<\/strong>iffusion Model Generating Spatiotemporal Turbulence<\/a><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Generating 3D wall-bounded turbulence with wall roughness\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/7rPBOsO3pW4?list=PLYa2q8Y67R3YMYcIULgj02rjcfHyNB01u\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">2023, <a href=\"https:\/\/sites.nd.edu\/jianxun-wang\/bayesian-conditional-diffusion-models-for-versatile-spatiotemporal-turbulence-generation\/\" data-type=\"link\" data-id=\"https:\/\/sites.nd.edu\/jianxun-wang\/bayesian-conditional-diffusion-models-for-versatile-spatiotemporal-turbulence-generation\/\">Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation<\/a><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Unconditioned generation (generation of turbulent channel flow from scratch - Re_tau = 180 )\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/qHfuAySaHb4?list=PLYa2q8Y67R3ZCtfUmXf0HJI9pKb2dUVcg\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>2024, CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence 2023, Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation<\/p>\n","protected":false},"author":3220,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1576","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/1576","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/users\/3220"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/comments?post=1576"}],"version-history":[{"count":8,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/1576\/revisions"}],"predecessor-version":[{"id":1669,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/1576\/revisions\/1669"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/media?parent=1576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}