الموضوعات: multigrid parallel-in-time MGRIT PINNs DNNs

مصطلحات الفهرس: multigrid parallel-in-time MGRIT PINNs DNNs, Applied Mathematics, Mathematics, Statistics and Probability

المؤلفون: Chuwei Wu, Zhengguang Xiao, Yuting Guo, Chunli Zhang

المصدر: International Journal of Smart and Nano Materials, Vol 15, Iss 1, Pp 62-74 (2024)

مصطلحات موضوعية: PS rod, multi-field coupling response, machine learning, PINNs, Materials of engineering and construction. Mechanics of materials, TA401-492

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1947-5411Test; https://doaj.org/toc/1947-542XTest

الوصول الحر: https://doaj.org/article/9aad21f06e8f464dafa82c47fff0d309Test

المؤلفون: Jianlin Huang, Rundi Qiu, Jingzhu Wang, Yiwei Wang

المصدر: Theoretical and Applied Mechanics Letters, Vol 14, Iss 2, Pp 100496- (2024)

مصطلحات موضوعية: Physics-informed neural networks (PINNs), Multi-scale, Fluid dynamics, Boundary layer, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2095034924000072Test; https://doaj.org/toc/2095-0349Test

الوصول الحر: https://doaj.org/article/a7cc0f744e6a46bca8c7ae3c9b667674Test

المؤلفون: Ling, Hang Jung, Bru, Salomé, Puig, Julia, Vixège, Florian, Mendez, Simon, Nicoud, Franck, Courand, Pierre-Yves, Bernard, Olivier, Garcia, Damien

المساهمون: Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie Ultrasonore, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut Montpelliérain Alexander Grothendieck (IMAG), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Laboratoire des Écoulements Géophysiques et Industriels Grenoble (LEGI), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Hôpital de la Croix-Rousse CHU - HCL, Hospices Civils de Lyon (HCL), École doctorale MEGA (ED 162), ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), ANR-10-LABX-0060,CeLyA,Lyon Acoustics Centre(2010), ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011), ANR-21-CE19-0034,4D-iVFM,Vélocimétrie intraventriculaire 4-D par écho-Doppler(2021), ANR-22-CE45-0029,ORCHID,Diagnostic étiologique de maladies cardiaques basé sur les images échocardiographiques et les données cliniques(2022)

المصدر: ISSN: 0885-3010.

مصطلحات موضوعية: Cardiac flow, Color Doppler, Deep learning (DL), Echocardiography, Physics-guided neural networks (PGNNs), Physics-informed neural networks (PINNs), Ultrasound, Vector flow imaging, [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2403.13040; info:eu-repo/semantics/altIdentifier/pmid/38857144; hal-04627945; https://hal.science/hal-04627945Test; https://hal.science/hal-04627945/documentTest; https://hal.science/hal-04627945/file/Physics-Guided%20Neural%20Networks%20for%20Intraventricular%20Vector%20Flow%20Mapping.pdfTest; ARXIV: 2403.13040; PUBMED: 38857144

الإتاحة: https://doi.org/10.1109/TUFFC.2024.3411718Test
https://hal.science/hal-04627945Test
https://hal.science/hal-04627945/documentTest
https://hal.science/hal-04627945/file/Physics-Guided%20Neural%20Networks%20for%20Intraventricular%20Vector%20Flow%20Mapping.pdfTest

المؤلفون: Oikawa, Koki

مصطلحات موضوعية: PINNs, Soil Hydraulic Parameters, Invere analysis, water infiltration

العلاقة: https://dx.doi.org/10.5061/dryad.pc866t1z4Test; https://dx.doi.org/10.5281/zenodo.11195399Test

الإتاحة: https://doi.org/10.5281/zenodo.1119539810.5061/dryad.pc866t1z410.5281/zenodo.11195399Test

المؤلفون: Mantelos, Marios

مصطلحات موضوعية: Μηχανική, Υπολογιστική Μηχανική, Μηχανική Μάθηση, Βαθειά Μάθηση, Βελτιστοποίηση, Engineering, Computational Mechanics, Machine Learning, Deep Learning, Optimization, Physics informed neural networks, PINNs

الإتاحة: https://doi.org/10.26240/heal.ntua.27121Test
https://dspace.lib.ntua.gr/xmlui/handle/123456789/59425Test

المؤلفون: José Alberto Rodrigues

المصدر: Mathematics, Vol 12, Iss 8, p 1195 (2024)

مصطلحات موضوعية: physics-informed neural networks (PINNs), differential equation, loss function, activation function, deep learning, cancer cells, Mathematics, QA1-939

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2227-7390/12/8/1195Test; https://doaj.org/toc/2227-7390Test

الوصول الحر: https://doaj.org/article/89e9f157ebce4c638376591f9d5cfc34Test

المؤلفون: Andrii Pylypenko, Peter Demeter, Branislav Buľko, Slavomír Hubatka, Lukáš Fogaraš, Jaroslav Legemza, Jaroslav Demeter

المصدر: Engineering Proceedings, Vol 64, Iss 1, p 3 (2024)

مصطلحات موضوعية: pig iron, steelmaking, desulfurization, neural networks, Physics-Informed Neural Networks (PINNs), data analytics, Engineering machinery, tools, and implements, TA213-215

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2673-4591/64/1/3Test; https://doaj.org/toc/2673-4591Test

الوصول الحر: https://doaj.org/article/4ca449552a8b4e88bcff69080e121f22Test

المؤلفون: Ali Imran Sandhu, Umair bin Waheed, Chao Song, Oliver Dorn, Pantelis Soupios

المصدر: Frontiers in Earth Science, Vol 11 (2023)

مصطلحات موضوعية: Helmholtz equation, physics informed neural networks (PINNs), wavefield modeling, seismic anisotropy, wave propagation, Science

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/feart.2023.1227828/fullTest; https://doaj.org/toc/2296-6463Test

الوصول الحر: https://doaj.org/article/aef3f5fc3a3c45ef804f0dc299060ba4Test

المؤلفون: Molnar, Joseph, P., Grauer, Samuel, J., Léon, Olivier, Donjat, David, Nicolas, François

المساهمون: University of Pennsylvania, DMPE, ONERA, Université de Toulouse Toulouse, ONERA-PRES Université de Toulouse, DAAA, ONERA, Université Paris Saclay Meudon, ONERA-Université Paris-Saclay

المصدر: AIAA SCITECH 2023 Forum ; https://hal.science/hal-04032237Test ; AIAA SCITECH 2023 Forum, Jan 2023, National Harbor, United States. ⟨10.2514/6.2023-2441⟩

مصطلحات موضوعية: BOS, JET SUPERSONIQUE, PINNS, [PHYS]Physics [physics], [SPI]Engineering Sciences [physics]

جغرافية الموضوع: National Harbor, United States

العلاقة: hal-04032237; https://hal.science/hal-04032237Test; https://hal.science/hal-04032237v2/documentTest; https://hal.science/hal-04032237v2/file/Molnar%20et%20al.%20%282023%29.%20Physics-Informed%20Background-Oriented%20Schlieren%20of%20Turbulent%20Underexpanded%20Jets.pdfTest

الإتاحة: https://doi.org/10.2514/6.2023-2441Test
https://hal.science/hal-04032237Test
https://hal.science/hal-04032237v2/documentTest
https://hal.science/hal-04032237v2/file/Molnar%20et%20al.%20%282023%29.%20Physics-Informed%20Background-Oriented%20Schlieren%20of%20Turbulent%20Underexpanded%20Jets.pdfTest