{"id":2,"date":"2018-10-18T10:13:33","date_gmt":"2018-10-18T10:13:33","guid":{"rendered":"http:\/\/sites.nd.edu\/jianxun-wang\/?page_id=2"},"modified":"2023-08-04T00:07:40","modified_gmt":"2023-08-04T04:07:40","slug":"research","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/jianxun-wang\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\n
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Co<\/strong>mputational M<\/strong>echanics & S<\/strong>cientific A<\/strong>rtificial I<\/strong>ntelligence L<\/strong>ab (CoMSAIL) focuses on developing the next-generation computational modeling & simulation capability for various computational mechanics problems by integrating multi-resolution data, classic numerical solver, and deep neural networks based on differentiable programming, Bayesian learning\/optimization, GPU computing, and uncertainty quantification. <\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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National Science Foundation<\/strong><\/h2>\n\n\n\n
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  • CAREER: Forward and Inverse Uncertainty Quantification of Cardiovascular Fluid-Structure Dynamics via Multi-fidelity Physics-Informed Bayesian Geometric Deep Learning (NSF OAC, 2021 – 2026), $528K, PI.<\/li>\n<\/ul>\n\n\n\n
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    • OAC Core: A Machine Learning Assisted Visual Analytics Approach for Understanding Flow Surfaces (NSF OAC, 2021-2024), $536K, Co-PI.<\/li>\n<\/ul>\n\n\n\n
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      • Physics-Constrained Deep Learning for Surrogate Modeling of Dynamics of Fluids and Fluid-Structure Interaction (NSF CMMI, 2019-2022), $300K, PI<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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        Office of Naval Research (ONR)<\/strong><\/h2>\n\n\n\n
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        • Cost Reduction for Electrochemical Machining Through Hybrid Reduced Order Simulation (STTR, 2023 – 2024), $120K, PI<\/li>\n\n\n\n
        • Young Investigator Program (YIP) Award: Physics-Preserved Neural Differentiable Computing for Predictive Modeling of Rough-Wall Turbulence. (ONR YIP, 2022 – 2025), $750K, PI<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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          Air Force Office of Scientific Research<\/strong><\/h2>\n\n\n\n
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          • Optimizing Carbon\/Carbon Composites Manufacturing by Identifying and Reducing Key Uncertainties for Hypersonic Applications (AFOSR, 2022 – 2025), $1.5M, Co-PI<\/li>\n\n\n\n
          • DURIPI: Differentiable Neural Computing in Manufacturing Modeling of Hypersonic Materials (AFOSR, 2023-2024) $135K, PI<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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            Defense Advanced Research Projects Agency (DARPA)<\/strong><\/h2>\n\n\n\n
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            • Highly Efficient Physics-Informed Deep Learning Model for Nanoscale Transistor Thermal Analysis (DARPA, 2023-2025), $1M, Co-PI<\/li>\n\n\n\n
            • Physics-Informed Learning for Multiscale Systems (DARPA, 2018 – 2020), $1M, Co-PI<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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              Lucy Family Institute for Data & Society<\/strong><\/h2>\n\n\n\n
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              • Rapid Personalized Image-Based Cardiovascular Flow Modeling Using Bayesian Deep Learning (Lucy, 2022 – 2024), $70K, PI<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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                PhysicsX Limited<\/strong><\/h2>\n\n\n\n
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                • AI-enabled predictive model of hemodynamics for a Left Ventricular AssistDevice (LVAD) (2022-2023), $103K, PI<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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                  Google LLC<\/strong><\/h2>\n\n\n\n
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                  • A Turbulent Inflow Generator with A Data Driven Approach (Google Research Gift), $30K + $24K GCP Credits, PI<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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                    ND Energy Center for Sustainable Energy<\/strong><\/h2>\n\n\n\n

                    ND Environmental Change Initiative (ECI)<\/strong><\/h2>\n\n\n\n
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                    • Wind Energy Harvesting based on Flow-induced Vibrations and Community Acceptance (Postdoc Fellowship, 2022-2024)<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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                      AnalytiXIN<\/strong><\/h2>\n\n\n\n
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                      • AnalytiXIN Manufacturing Data Asset Research (AnalytiXIN, 2022-2024), $1.06M, Co-PI<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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                        Computational Mechanics & Scientific Artificial Intelligence Lab (CoMSAIL) focuses on developing the next-generation computational modeling & simulation capability for various computational mechanics problems by integrating multi-resolution data, classic numerical solver, and deep neural networks based on differentiable programming, Bayesian learning\/optimization, GPU computing, and uncertainty quantification. National Science Foundation Office of Naval Research (ONR) Air Force […]<\/p>\n","protected":false},"author":3220,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/2","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=2"}],"version-history":[{"count":104,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":1549,"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/pages\/2\/revisions\/1549"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/jianxun-wang\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}