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pro vyhledávání: '"Rocha, I."'
Autor:
Kovács, N., Maia, M. A., Rocha, I. B. C. M., Furtado, C., Camanho, P. P., van der Meer, F. P.
The growing use of composite materials in engineering applications has accelerated the demand for computational methods to accurately predict their complex behavior. Multiscale modeling based on computational homogenization is a potentially powerful
Externí odkaz:
http://arxiv.org/abs/2410.13774
In this work, a hybrid physics-based data-driven surrogate model for the microscale analysis of heterogeneous material is investigated. The proposed model benefits from the physics-based knowledge contained in the constitutive models used in the full
Externí odkaz:
http://arxiv.org/abs/2404.17583
Simulating the mechanical response of advanced materials can be done more accurately using concurrent multiscale models than with single-scale simulations. However, the computational costs stand in the way of the practical application of this approac
Externí odkaz:
http://arxiv.org/abs/2402.13101
In this work we present a hybrid physics-based and data-driven learning approach to construct surrogate models for concurrent multiscale simulations of complex material behavior. We start from robust but inflexible physics-based constitutive models a
Externí odkaz:
http://arxiv.org/abs/2301.13547
Driven by the need to accelerate numerical simulations, the use of machine learning techniques is rapidly growing in the field of computational solid mechanics. Their application is especially advantageous in concurrent multiscale finite element anal
Externí odkaz:
http://arxiv.org/abs/2209.07320
Concurrent multiscale finite element analysis (FE2) is a powerful approach for high-fidelity modeling of materials for which a suitable macroscopic constitutive model is not available. However, the extreme computational effort associated with computi
Externí odkaz:
http://arxiv.org/abs/2007.07749
Autor:
Salami, B., Parasyris, K., Cristal, A., Unsal, O., Martorell, X., Carpenter, P., De La Cruz, R., Bautista, L., Jimenez, D., Alvarez, C., Nabavi, S., Madonar, S., Pericas, M., Trancoso, P., Abduljabbar, M., Chen, J., Soomro, P. N., Manivannan, M, Berge, M., Krupop, S., Klawonn, F., Mekhlafi, Al, May, S., Becker, T., Gaydadjiev, G., Odman, D., Salomonsson, H., Dubhashi, D., Port, O., Etsion, Y., Do, Le Quoc, Fetzer, Christof, Kaiser, M., Kucza, N., Hagemeyer, J., Griessl, R., Tigges, L., Mika, K., Huffmeier, A., Jungeblu, Th., Pasin, M., Schiavoni, V., Rocha, I., Gottel, C., Felber, P.
The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engines. The aim is to attain one order of magnitude energy savings from t
Externí odkaz:
http://arxiv.org/abs/1912.01563
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For a partial Galois extension of commutative rings we give a seven term exact sequence which generalize the Chase-Harrison-Rosenberg sequence.
Externí odkaz:
http://arxiv.org/abs/1908.05820
Akademický článek
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