{"_id":"FDHsDzFWZyKKjiLZs","bibbaseid":"deng-dong-fastlevelsetbasedboundaryreconstructionofhighlycomplexbodyconfigurationsforstudyingbioinspiredlocomotionusingasharpinterfaceimmersedboundarymethod-2018","author_short":["Deng, X.","Dong, H."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Xiaolong"],"propositions":[],"lastnames":["Deng"],"suffixes":[]},{"firstnames":["Haibo"],"propositions":[],"lastnames":["Dong"],"suffixes":[]}],"title":"Fast level-set-based boundary reconstruction of highly complex body configurations for studying bio-inspired locomotion using a sharp-interface immersed boundary method","year":"2018","journal":"Bulletin of the American Physical Society","url":"https://meetings.aps.org/Meeting/DFD18/Session/L32.4","bibtex":"@article{1003,\n author = {Xiaolong Deng and Haibo Dong},\n title = {Fast level-set-based boundary reconstruction of highly complex body configurations for studying bio-inspired locomotion using a sharp-interface immersed boundary method},\n year = {2018},\n journal = {Bulletin of the American Physical Society},\n url = {https://meetings.aps.org/Meeting/DFD18/Session/L32.4}\n}\n\n","author_short":["Deng, X.","Dong, H."],"key":"1003","id":"1003","bibbaseid":"deng-dong-fastlevelsetbasedboundaryreconstructionofhighlycomplexbodyconfigurationsforstudyingbioinspiredlocomotionusingasharpinterfaceimmersedboundarymethod-2018","role":"author","urls":{"Paper":"https://meetings.aps.org/Meeting/DFD18/Session/L32.4"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/fFERMKNwKyHLsDPJ3/Link_Lab_Publications.bib","dataSources":["mwAui9iKniQyhTc49","RbCkvcfqfbgtxTyNT","YgvS53ZWNjFkrzNS4","PbrtYBE4kqkc5ZtpJ"],"keywords":[],"search_terms":["fast","level","set","based","boundary","reconstruction","highly","complex","body","configurations","studying","bio","inspired","locomotion","using","sharp","interface","immersed","boundary","method","deng","dong"],"title":"Fast level-set-based boundary reconstruction of highly complex body configurations for studying bio-inspired locomotion using a sharp-interface immersed boundary method","year":2018}