{"id":69,"date":"2018-12-16T01:59:40","date_gmt":"2018-12-16T05:59:40","guid":{"rendered":"http:\/\/sites.nd.edu\/jianxun-wang\/?page_id=69"},"modified":"2021-08-18T12:15:13","modified_gmt":"2021-08-18T16:15:13","slug":"group","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/jianxun-wang\/research\/group\/","title":{"rendered":"Inverse Problems in Computational Physics"},"content":{"rendered":"<ul>\n<li>\n<h2>Inverse problem in physiological modeling<\/h2>\n<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-871\" src=\"http:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.14.00-300x111.png\" alt=\"\" width=\"403\" height=\"149\" srcset=\"https:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.14.00-300x111.png 300w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.14.00-768x284.png 768w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.14.00.png 914w\" sizes=\"auto, (max-width: 403px) 100vw, 403px\" \/><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-865\" src=\"http:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.05.18-300x128.png\" alt=\"\" width=\"410\" height=\"175\" srcset=\"https:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.05.18-300x128.png 300w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.05.18-1024x436.png 1024w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.05.18-768x327.png 768w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.05.18-1536x655.png 1536w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2021\/08\/Screen-Shot-2021-08-18-at-12.05.18.png 1842w\" sizes=\"auto, (max-width: 410px) 100vw, 410px\" \/><\/p>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-220\" src=\"http:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.39.35-300x155.png\" alt=\"\" width=\"811\" height=\"419\" srcset=\"https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.39.35-300x155.png 300w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.39.35-768x396.png 768w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.39.35-1024x528.png 1024w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.39.35.png 1244w\" sizes=\"auto, (max-width: 811px) 100vw, 811px\" \/><\/h2>\n<ol>\n<li>H. Gao*, X. Zhu, J.-X. Wang. A Bi-fidelity Surrogate Modeling Approach for Uncertainty Propagation in Three-Dimensional Hemodynamic Simulations. <em>Computer Methods in Applied Mechanics and Engineering, 366, 113047,\u00a0<\/em>2020. [<a href=\"https:\/\/arxiv.org\/pdf\/1908.10197.pdf\">Arxiv<\/a>, <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0045782520302310?via%3Dihub\">DOI<\/a>, bib]<\/li>\n<li>H. Gao*, J.-X. Wang, A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems, <em>Computational Mechanics<\/em>, 67, 1115-1131, 2021 [<a href=\"https:\/\/arxiv.org\/abs\/2003.11912\">Arxiv<\/a>, <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00466-021-01979-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst&amp;utm_source=ArticleAuthorOnlineFirst&amp;utm_medium=email&amp;utm_content=AA_en_06082018&amp;ArticleAuthorOnlineFirst_20210226#citeas\">DOI<\/a>, bib]<\/li>\n<li>A. Arzani, J.-X. Wang, R. D\u2019Souza, Uncovering near-wall blood flow from sparse data with physics-informed neural networks, <em>Physics of Fluids,\u00a0<\/em>33, 071905, 2021 (<strong>Featured Article<\/strong>) [<a href=\"https:\/\/arxiv.org\/pdf\/2104.08249.pdf\">Arxiv<\/a>, <a href=\"https:\/\/aip.scitation.org\/doi\/10.1063\/5.0055600\">DOI<\/a>, bib]<\/li>\n<li><span style=\"color: revert;font-size: revert\">J.-X. Wang, X. Hu, S. C. Shadden, Data-augmented modeling of intracranial pressure. <\/span><em style=\"color: revert;font-size: revert\">Annals of biomedical Engineering<\/em><span style=\"color: revert;font-size: revert\">, 2018 (Accepted) [<\/span><a style=\"font-size: revert\" href=\"https:\/\/arxiv.org\/pdf\/1807.10345.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Arxiv<\/a><span style=\"color: revert;font-size: revert\">, DOI, bib].<\/span><\/li>\n<\/ol>\n<ul>\n<li>\n<h2>Inverse modeling for unresolved geometry in CFD simulations<\/h2>\n<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-212\" src=\"http:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.29.51-300x111.png\" alt=\"\" width=\"446\" height=\"165\" srcset=\"https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.29.51-300x111.png 300w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.29.51-768x284.png 768w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.29.51-1024x378.png 1024w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.29.51.png 1197w\" sizes=\"auto, (max-width: 446px) 100vw, 446px\" \/><\/p>\n<ol>\n<li>J.-X. Wang,\u00a0H. Xiao. Data-driven CFD modeling of turbulent flows through complex structures.\u00a0<em>International Journal of Heat and Fluid Flow<\/em>,\u00a062 (B): 138-149, 2016. [<a href=\"https:\/\/arxiv.org\/pdf\/1603.08643.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Arxiv<\/a>,\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.ijheatfluidflow.2016.11.007\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">DOI<\/a>, bib]<\/li>\n<\/ol>\n<ul>\n<li>\n<h2>Tsunami flow inversion based on sediments<\/h2>\n<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-264\" src=\"http:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-18-at-00.41.29-300x241.png\" alt=\"\" width=\"242\" height=\"194\" srcset=\"https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-18-at-00.41.29-300x241.png 300w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-18-at-00.41.29-768x616.png 768w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-18-at-00.41.29.png 977w\" sizes=\"auto, (max-width: 242px) 100vw, 242px\" \/>\u00a0\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-265\" src=\"http:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-18-at-00.42.17-300x221.png\" alt=\"\" width=\"266\" height=\"196\" srcset=\"https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-18-at-00.42.17-300x221.png 300w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-18-at-00.42.17.png 597w\" sizes=\"auto, (max-width: 266px) 100vw, 266px\" \/> \u00a0<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-213\" src=\"http:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.25.49-300x150.png\" alt=\"\" width=\"392\" height=\"196\" srcset=\"https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.25.49-300x150.png 300w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.25.49-768x383.png 768w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.25.49-1024x511.png 1024w, https:\/\/sites.nd.edu\/jianxun-wang\/files\/2018\/12\/Screen-Shot-2018-12-17-at-23.25.49.png 1097w\" sizes=\"auto, (max-width: 392px) 100vw, 392px\" \/><\/p>\n<ol>\n<li>J.-X. Wang,\u00a0T. Hui, H. Xiao, and R. Weiss. Inferring tsunami flow depth and flow speed from sediment deposits based on ensemble Kalman filtering. <em>Geophysical Journal of International<\/em>, 212 (1), 646-658, 2018. [<a href=\"https:\/\/arxiv.org\/pdf\/1511.03307v2.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Arxiv<\/a>, <a href=\"https:\/\/academic.oup.com\/gji\/article-abstract\/212\/1\/646\/4443201?redirectedFrom=fulltext\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a>, bib]<\/li>\n<li>H. Tang,\u00a0J.-X. Wang, R. Weiss and H. Xiao. TSUFLIND-EnKF inversion model applied to tsunami deposits for estimation of transient flow depth and speed with quantified uncertainties, <em>Marine Geology<\/em>, 396 (1), 16-25, 2018, [<a href=\"https:\/\/arxiv.org\/pdf\/1601.03788.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Arxiv<\/a>, <a href=\"http:\/\/dx.doi.org\/10.1016\/j.margeo.2016.11.009\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">DOI<\/a>, bib]<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Inverse problem in physiological modeling H. Gao*, X. Zhu, J.-X. Wang. A Bi-fidelity Surrogate Modeling Approach for Uncertainty Propagation in Three-Dimensional Hemodynamic Simulations. Computer Methods in Applied Mechanics and Engineering, 366, 113047,\u00a02020. [Arxiv, DOI, bib] H. Gao*, J.-X. Wang, A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems, Computational Mechanics, 67, 1115-1131, 2021 [Arxiv, DOI, [&hellip;]<\/p>\n","protected":false},"author":3220,"featured_media":0,"parent":2,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-69","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/69","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=69"}],"version-history":[{"count":12,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/69\/revisions"}],"predecessor-version":[{"id":875,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/69\/revisions\/875"}],"up":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/2"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/media?parent=69"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}