125258 20241125101136.0 doi 10.1016/j.cma.2023.115912 sideral 132991 ART-2023-132991 eng Hernández, Quercus Thermodynamics-informed neural networks for physically realistic mixed reality 2023 Access copy available to the general public Unrestricted The imminent impact of immersive technologies in society urges for active research in real-time and interactive physics simulation for virtual worlds to be realistic. In this context, realistic means to be compliant to the laws of physics. In this paper we present a method for computing the dynamic response of (possibly non-linear and dissipative) deformable objects induced by real-time user interactions in mixed reality using deep learning. The graph-based architecture of the method ensures the thermodynamic consistency of the predictions, whereas the visualization pipeline allows a natural and realistic user experience. Two examples of virtual solids interacting with virtual or physical solids in mixed reality scenarios are provided to prove the performance of the method. info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2020-113463RB-C31/AEI/10.13039/501100011033 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 6.9 2023 MECHANICS 7 / 170 = 0.041 2023 Q1 T1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 4 / 135 = 0.03 2023 Q1 T1 ENGINEERING, MULTIDISCIPLINARY 6 / 181 = 0.033 2023 Q1 T1 2.397 2023 Computational Mechanics 2023 Q1 Computer Science Applications 2023 Q1 Physics and Astronomy (miscellaneous) 2023 Q1 Mechanics of Materials 2023 Q1 Mechanical Engineering 2023 Q1 12.7 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Badías, Alberto (orcid)0000-0001-7639-6767 Chinesta, Francisco Cueto, Elías Universidad de Zaragoza (orcid)0000-0003-1017-4381 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 407 (2023), 115912 [11 pp.] Comput. methods appl. mech. eng. Computer Methods in Applied Mechanics and Engineering 0045-7825 1237465 http://zaguan.unizar.es/record/125258/files/texto_completo.pdf Versión publicada 2051912 http://zaguan.unizar.es/record/125258/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:125258 articulos driver 2024-11-22-12:00:51 ARTICLE