{"id":486,"date":"2020-12-09T13:09:45","date_gmt":"2020-12-09T13:09:45","guid":{"rendered":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/?page_id=486"},"modified":"2020-12-13T10:57:18","modified_gmt":"2020-12-13T10:57:18","slug":"486-2","status":"publish","type":"page","link":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/486-2\/","title":{"rendered":"Research"},"content":{"rendered":"

Research areas
\n<\/span><\/span><\/strong><\/p>\n

    \n
  1. Development of high-fidelity numerical methods, multiscale and multiphysical models, and scale-bridging methodologies for multidisciplinary research.<\/li>\n
  2. High-fidelity multi-physics modelling and analysis of multiphase combustion process.<\/li>\n
  3. Computational materials design based on high-throughput simulations and data mining<\/li>\n
  4. Accelerating computation-demanding applications using GPU, FPGA, or heterogeneous architecture.<\/li>\n<\/ol>\n

    Application<\/span><\/span><\/strong><\/p>\n

    \"\"<\/p>\n

    We strive for utilizing heterogeneous cloud high-performance parallel computer platforms in numerical modeling research involving multi-scale and multi-physics. My lab focus on emerging researches including turbulent multi-phase flows and combustion, flow-structure interactions, membrane\/porous transport, and renewal fuels areas.<\/p>\n

    \"\"<\/p>\n

    Multi-scale modeling techniques, including molecular dynamics, coarse grained molecular dynamics and phase field models are utilized to understand atomistic mechanics and structural transitions of low-dimensional materials. Computational frameworks combining with machine learning are constructed to accelerate the exploration of novel materials and optimize materials synthesis pathways.<\/p>\n

    \"\"<\/p>\n

    Our research focuses on combining computational materials science, solid state physics, thermodynamics, and chemistry to understand fundamental and critical materials problems in high-impact applications; applying high-throughput materials simulations, data-mining, and experiments to speed up new materials development; developing new algorithms or tools for materials simulations.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Research areas Development of high-fidelity numerical methods, multiscale and multiphysical models, and scale-bridging methodologies for multidisciplinary research. High-fidelity multi-physics modelling and analysis of multiphase combustion process. Computational materials design based on high-throughput simulations and data mining Accelerating computation-demanding applications using GPU, FPGA, or heterogeneous architecture. Application We strive for utilizing heterogeneous cloud high-performance parallel computer …<\/p>\n

    Research<\/span> Read More »<\/a><\/p>\n","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-486","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/wp-json\/wp\/v2\/pages\/486","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/wp-json\/wp\/v2\/comments?post=486"}],"version-history":[{"count":3,"href":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/wp-json\/wp\/v2\/pages\/486\/revisions"}],"predecessor-version":[{"id":547,"href":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/wp-json\/wp\/v2\/pages\/486\/revisions\/547"}],"wp:attachment":[{"href":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/wp-json\/wp\/v2\/media?parent=486"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}