{"file":[{"date_created":"2020-09-21T07:51:44Z","file_size":20223953,"success":1,"file_id":"8541","date_updated":"2020-09-21T07:51:44Z","access_level":"open_access","creator":"dernst","file_name":"2020_ACM_Skrivan.pdf","content_type":"application/pdf","checksum":"c3a680893f01cc4a9e961ff0a4cfa12f","relation":"main_file"}],"type":"journal_article","day":"08","article_processing_charge":"No","month":"07","date_updated":"2023-08-22T09:28:27Z","publication_status":"published","date_published":"2020-07-08T00:00:00Z","issue":"4","department":[{"_id":"ChWo"}],"abstract":[{"text":"We propose a method to enhance the visual detail of a water surface simulation. Our method works as a post-processing step which takes a simulation as input and increases its apparent resolution by simulating many detailed Lagrangian water waves on top of it. We extend linear water wave theory to work in non-planar domains which deform over time, and we discretize the theory using Lagrangian wave packets attached to spline curves. The method is numerically stable and trivially parallelizable, and it produces high frequency ripples with dispersive wave-like behaviors customized to the underlying fluid simulation.","lang":"eng"}],"oa":1,"oa_version":"Published Version","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","date_created":"2020-09-20T22:01:37Z","publisher":"Association for Computing Machinery","scopus_import":"1","quality_controlled":"1","title":"Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces","status":"public","doi":"10.1145/3386569.3392466","publication":"ACM Transactions on Graphics","author":[{"full_name":"Skrivan, Tomas","id":"486A5A46-F248-11E8-B48F-1D18A9856A87","last_name":"Skrivan","first_name":"Tomas"},{"full_name":"Soderstrom, Andreas","first_name":"Andreas","last_name":"Soderstrom"},{"last_name":"Johansson","first_name":"John","full_name":"Johansson, John"},{"full_name":"Sprenger, Christoph","first_name":"Christoph","last_name":"Sprenger"},{"full_name":"Museth, Ken","last_name":"Museth","first_name":"Ken"},{"orcid":"0000-0001-6646-5546","last_name":"Wojtan","first_name":"Christopher J","id":"3C61F1D2-F248-11E8-B48F-1D18A9856A87","full_name":"Wojtan, Christopher J"}],"has_accepted_license":"1","external_id":{"isi":["000583700300038"]},"publication_identifier":{"eissn":["15577368"],"issn":["07300301"]},"ec_funded":1,"citation":{"ieee":"T. Skrivan, A. Soderstrom, J. Johansson, C. Sprenger, K. Museth, and C. Wojtan, “Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces,” ACM Transactions on Graphics, vol. 39, no. 4. Association for Computing Machinery, 2020.","mla":"Skrivan, Tomas, et al. “Wave Curves: Simulating Lagrangian Water Waves on Dynamically Deforming Surfaces.” ACM Transactions on Graphics, vol. 39, no. 4, 65, Association for Computing Machinery, 2020, doi:10.1145/3386569.3392466.","short":"T. Skrivan, A. Soderstrom, J. Johansson, C. Sprenger, K. Museth, C. Wojtan, ACM Transactions on Graphics 39 (2020).","ama":"Skrivan T, Soderstrom A, Johansson J, Sprenger C, Museth K, Wojtan C. Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces. ACM Transactions on Graphics. 2020;39(4). doi:10.1145/3386569.3392466","chicago":"Skrivan, Tomas, Andreas Soderstrom, John Johansson, Christoph Sprenger, Ken Museth, and Chris Wojtan. “Wave Curves: Simulating Lagrangian Water Waves on Dynamically Deforming Surfaces.” ACM Transactions on Graphics. Association for Computing Machinery, 2020. https://doi.org/10.1145/3386569.3392466.","apa":"Skrivan, T., Soderstrom, A., Johansson, J., Sprenger, C., Museth, K., & Wojtan, C. (2020). Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3386569.3392466","ista":"Skrivan T, Soderstrom A, Johansson J, Sprenger C, Museth K, Wojtan C. 2020. Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces. ACM Transactions on Graphics. 39(4), 65."},"article_type":"original","language":[{"iso":"eng"}],"_id":"8535","article_number":"65","intvolume":" 39","volume":39,"year":"2020","acknowledged_ssus":[{"_id":"ScienComp"}],"isi":1,"acknowledgement":"We wish to thank the anonymous reviewers and the members of the Visual Computing Group at IST Austria for their valuable feedback. This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 638176 and Marie SkłodowskaCurie Grant Agreement No. 665385.","file_date_updated":"2020-09-21T07:51:44Z","ddc":["000"],"project":[{"call_identifier":"H2020","grant_number":"638176","_id":"2533E772-B435-11E9-9278-68D0E5697425","name":"Efficient Simulation of Natural Phenomena at Extremely Large Scales"},{"call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385"}]}