المؤلفون: Lehmann, Fanny, Gatti, Filippo, Bertin, Michaël, Clouteau, Didier

المساهمون: CEA, DAM, DIF, F-91297 Arpajon, Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)

المصدر: ISSN: 2296-6463 ; Frontiers in Earth Science ; https://hal.science/hal-04476116Test ; Frontiers in Earth Science, 2022, 10, ⟨10.3389/feart.2022.1029160⟩.

مصطلحات موضوعية: earthquake, wave propagation, numerical simulation, high performance computing (HPC), random fields, artificial intelligence-AI, dimensionality reduction, neural network, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

العلاقة: hal-04476116; https://hal.science/hal-04476116Test; https://hal.science/hal-04476116/documentTest; https://hal.science/hal-04476116/file/Lehmann%20et%20al.%20-%202022%20-%20Machine%20learning%20opportunities%20to%20conduct%20high-fid.pdfTest

الإتاحة: https://doi.org/10.3389/feart.2022.1029160Test
https://hal.science/hal-04476116Test
https://hal.science/hal-04476116/documentTest
https://hal.science/hal-04476116/file/Lehmann%20et%20al.%20-%202022%20-%20Machine%20learning%20opportunities%20to%20conduct%20high-fid.pdfTest

المؤلفون: Lehmann, Fanny, Gatti, Filippo, Bertin, Michaël, Clouteau, Didier

المساهمون: CEA, DAM, DIF, F-91297 Arpajon, Laboratoire de Mécanique Paris-Saclay (LMPS), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)

المصدر: ISSN: 2296-6463 ; Frontiers in Earth Science ; https://hal.science/hal-04476116Test ; Frontiers in Earth Science, 2022, 10, ⟨10.3389/feart.2022.1029160⟩.

مصطلحات موضوعية: earthquake, wave propagation, numerical simulation, high performance computing (HPC), random fields, artificial intelligence-AI, dimensionality reduction, neural network, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

العلاقة: hal-04476116; https://hal.science/hal-04476116Test; https://hal.science/hal-04476116/documentTest; https://hal.science/hal-04476116/file/Lehmann%20et%20al.%20-%202022%20-%20Machine%20learning%20opportunities%20to%20conduct%20high-fid.pdfTest

الإتاحة: https://doi.org/10.3389/feart.2022.1029160Test
https://hal.science/hal-04476116Test
https://hal.science/hal-04476116/documentTest
https://hal.science/hal-04476116/file/Lehmann%20et%20al.%20-%202022%20-%20Machine%20learning%20opportunities%20to%20conduct%20high-fid.pdfTest

المؤلفون: Rizzi, Gianluca, Collet, Manuel, Demore, Félix, Eidel, Bernhard, Neff, Patrizio, Madeo, Angela

المساهمون: Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Rennes (ENS Rennes), Universität Siegen Siegen, Fakultät für Mathematik, Universität Duisburg-Essen = University of Duisburg-Essen Essen, Géomécanique, Matériaux et Structures (GEOMAS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), ANR-17-CE08-0006,METASMART,Modèles continus enrichis pour les métamatériaux comme pièges d'ondes(2017)

المصدر: ISSN: 2296-8016 ; Frontiers in Materials ; https://hal.science/hal-03026034Test ; Frontiers in Materials, 2020, ⟨10.3389/fmats.2020.589701⟩.

مصطلحات موضوعية: mechanical metamaterials, wave-propagation, metamaterials, meta-structure, relaxed micromorphic model, [SPI]Engineering Sciences [physics], [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph]

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2007.14942; hal-03026034; https://hal.science/hal-03026034Test; https://hal.science/hal-03026034/documentTest; https://hal.science/hal-03026034/file/Rizzi_Size%20effect%20dynamic_final_2020.pdfTest; ARXIV: 2007.14942

الإتاحة: https://doi.org/10.3389/fmats.2020.589701Test
https://hal.science/hal-03026034Test
https://hal.science/hal-03026034/documentTest
https://hal.science/hal-03026034/file/Rizzi_Size%20effect%20dynamic_final_2020.pdfTest

المؤلفون: Rizzi, Gianluca, Collet, Manuel, Demore, Félix, Eidel, Bernhard, Neff, Patrizio, Madeo, Angela

المساهمون: Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Rennes (ENS Rennes), Universität Siegen Siegen, Fakultät für Mathematik, Universität Duisburg-Essen = University of Duisburg-Essen Essen, Géomécanique, Matériaux et Structures (GEOMAS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), ANR-17-CE08-0006,METASMART,Modèles continus enrichis pour les métamatériaux comme pièges d'ondes(2017)

المصدر: ISSN: 2296-8016 ; Frontiers in Materials ; https://hal.science/hal-03026034Test ; Frontiers in Materials, 2020, ⟨10.3389/fmats.2020.589701⟩.

مصطلحات موضوعية: mechanical metamaterials, wave-propagation, metamaterials, meta-structure, relaxed micromorphic model, [SPI]Engineering Sciences [physics], [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph]

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2007.14942; hal-03026034; https://hal.science/hal-03026034Test; https://hal.science/hal-03026034/documentTest; https://hal.science/hal-03026034/file/Rizzi_Size%20effect%20dynamic_final_2020.pdfTest; ARXIV: 2007.14942

الإتاحة: https://doi.org/10.3389/fmats.2020.589701Test
https://hal.science/hal-03026034Test
https://hal.science/hal-03026034/documentTest
https://hal.science/hal-03026034/file/Rizzi_Size%20effect%20dynamic_final_2020.pdfTest

المؤلفون: Rizzi, Gianluca, Collet, Manuel, Demore, Félix, Eidel, Bernhard, Neff, Patrizio, Madeo, Angela

المساهمون: Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Rennes (ENS Rennes), Universität Siegen Siegen, Fakultät für Mathematik, Universität Duisburg-Essen = University of Duisburg-Essen Essen, Géomécanique, Matériaux et Structures (GEOMAS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), ANR-17-CE08-0006,METASMART,Modèles continus enrichis pour les métamatériaux comme pièges d'ondes(2017)

المصدر: ISSN: 2296-8016 ; Frontiers in Materials ; https://hal.science/hal-03026034Test ; Frontiers in Materials, 2020, ⟨10.3389/fmats.2020.589701⟩.

مصطلحات موضوعية: mechanical metamaterials, wave-propagation, metamaterials, meta-structure, relaxed micromorphic model, [SPI]Engineering Sciences [physics], [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph]

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2007.14942; hal-03026034; https://hal.science/hal-03026034Test; https://hal.science/hal-03026034/documentTest; https://hal.science/hal-03026034/file/Rizzi_Size%20effect%20dynamic_final_2020.pdfTest; ARXIV: 2007.14942

الإتاحة: https://doi.org/10.3389/fmats.2020.589701Test
https://hal.science/hal-03026034Test
https://hal.science/hal-03026034/documentTest
https://hal.science/hal-03026034/file/Rizzi_Size%20effect%20dynamic_final_2020.pdfTest

المؤلفون: Rizzi, Gianluca, Collet, Manuel, Demore, Félix, Eidel, Bernhard, Neff, Patrizio, Madeo, Angela

المساهمون: Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Rennes (ENS Rennes), Universität Siegen Siegen, Fakultät für Mathematik, Universität Duisburg-Essen = University of Duisburg-Essen Essen, Géomécanique, Matériaux et Structures (GEOMAS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), ANR-17-CE08-0006,METASMART,Modèles continus enrichis pour les métamatériaux comme pièges d'ondes(2017)

المصدر: ISSN: 2296-8016 ; Frontiers in Materials ; https://hal.science/hal-03026034Test ; Frontiers in Materials, 2020, ⟨10.3389/fmats.2020.589701⟩.

مصطلحات موضوعية: mechanical metamaterials, wave-propagation, metamaterials, meta-structure, relaxed micromorphic model, [SPI]Engineering Sciences [physics], [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph]

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2007.14942; hal-03026034; https://hal.science/hal-03026034Test; https://hal.science/hal-03026034/documentTest; https://hal.science/hal-03026034/file/Rizzi_Size%20effect%20dynamic_final_2020.pdfTest; ARXIV: 2007.14942

الإتاحة: https://doi.org/10.3389/fmats.2020.589701Test
https://hal.science/hal-03026034Test
https://hal.science/hal-03026034/documentTest
https://hal.science/hal-03026034/file/Rizzi_Size%20effect%20dynamic_final_2020.pdfTest