Zobrazeno 1 - 10
of 553
pro vyhledávání: '"Aragón, A. M."'
Neural networks (NNs) hold great promise for advancing inverse design via topology optimization (TO), yet misconceptions about their application persist. This article focuses on neural topology optimization (neural TO), which leverages NNs to reparam
Externí odkaz:
http://arxiv.org/abs/2407.13954
Autor:
Li, Zichao, Alijani, Farbod, Sarafraz, Ali, Xu, Minxing, Norte, Richard A., Aragon, Alejandro M., Steeneken, Peter G.
Nonlinear dynamic simulations of mechanical resonators have been facilitated by the advent of computational techniques that generate nonlinear reduced order models (ROMs) using the finite element (FE) method. However, designing devices with specific
Externí odkaz:
http://arxiv.org/abs/2407.12600
Autor:
Domino, Lucie, d'Augères, Mariam Beaure, Zhang, Jian, Janbaz, Shahram, Aragòn, Alejandro M., Coulais, Corentin
In many scenarios -- when we bite food or during a crash -- fracture is inevitable. Finding solutions to steer fracture to mitigate its impact or turn it into a purposeful functionality, is therefore crucial. Strategies using composites, changes in c
Externí odkaz:
http://arxiv.org/abs/2405.19061
Autor:
Pérez, I., Verley, S., Sánchez-Menguiano, L., Ruiz-Lara, T., García-Benito, R., Puertas, S. Duarte, Jiménez, A., Domínguez-Gómez, J., Espada, D., Peletier, R. F., Román, J., Rodríguez, M. I., Alarcón, P. Sánchez, Argudo-Fernández, M., Torres-Ríos, G., Bidaran, B., Alcázar-Laynez, M., van de Weygaert, R., Sánchez, S. F., Lisenfeld, U., Zurita, A., Florido, E., van der Hulst, J. M., Blázquez-Calero, G., Villalba-González, P., del Moral-Castro, I., Lugo-Aranda, A., Walo-Martín, D., Conrado, A., Delgado, R. González, Falcón-Barroso, J., Ferré-Mateu, A., Hernández-Sánchez, M., Awad, P., Kreckel, K., Courtois, H., Espada-Miura, R., Relaño, M., Galbany, L., Sánchez-Blázquez, P., Pérez-Montero, E., Sánchez-Portal, M., Bongiovanni, A., Planelles, S., Quilis, V., Aubert, M., Guinet, D., Pomaréde, D., Weijmans, A. M., Raj, M. A., Aragón-Calvo, M. A., Azzaro, M., Bergond, G., Blazek, M., Cikota, S., Fernández-Martín, A., Gardini, A., Guijarro, A., Hermelo, I., Martín, P., Linares, J. I. Vico
Publikováno v:
A&A 689, A213 (2024)
We have learnt in the last decades that the majority of galaxies belong to high density regions interconnected in a sponge-like fashion. This large-scale structure is characterised by clusters, filaments, walls, where most galaxies concentrate, but a
Externí odkaz:
http://arxiv.org/abs/2405.04217
Autor:
Aragon-Calvo, M. A.
The cosmic web consists of a nested hierarchy of structures: voids, walls, filaments, and clusters. These structures interconnect and can encompass one another, collectively shaping an intricate network. Here we introduce the Hierarchical Spine (H-Sp
Externí odkaz:
http://arxiv.org/abs/2308.16186
Mechanical nonlinearities dominate the motion of nanoresonators already at relatively small oscillation amplitudes. Although single and coupled two-degrees-of-freedom models have been used to account for experimentally observed nonlinear effects, it
Externí odkaz:
http://arxiv.org/abs/2304.01419
Autor:
Tuominen, T., Nevalainen, J., Heinämäki, P., Tempel, E., Wijers, N., Bonamente, M., Aragon-Calvo, M. A., Finoguenov, A.
Publikováno v:
A&A 671, A103 (2023)
The current observational status of the hot (log T(K) > 5.5) warm-hot intergalactic medium (WHIM) remains incomplete. While recent observations from stacking large numbers of Cosmic Web filaments have yielded statistically significant detections, dir
Externí odkaz:
http://arxiv.org/abs/2301.07771
The Milky Way and the Local Sheet form a peculiar galaxy system in terms of the unusually low velocity dispersion in our neighbourhood and the seemingly high mass of the Milky Way for such an environment. Using the TNG300 simulation we searched for M
Externí odkaz:
http://arxiv.org/abs/2208.03338
Autor:
Chandrashekar, Abhilash, Givois, Arthur, Belardinelli, Pierpaolo, Penning, Casper L., Aragón, Alejandro M., Staufer, Urs, Alijani, Farbod
Quantifying the nanomechanical properties of soft-matter using multi-frequency atomic force microscopy (AFM) is crucial for studying the performance of polymers, ultra-thin coatings, and biological systems. Such characterization processes often make
Externí odkaz:
http://arxiv.org/abs/2206.04017
Publikováno v:
In Food Policy October 2024 128
