Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Rodriguez, Sebastián"'
Autor:
Rodriguez, Sebastian, Rébillat, Marc, Paunikar, Shweta, Margerit, Pierre, Monteiro, Eric, Chinesta, Francisco, Mechbal, Nazih
Structural Health Monitoring (SHM) aims to monitor in real time the health state of engineering structures. For thin structures, Lamb Waves (LW) are very efficient for SHM purposes. A bonded piezoelectric transducer (PZT) emits LW in the structure in
Externí odkaz:
http://arxiv.org/abs/2408.08929
Autor:
Rodriguez, Sebastian, Pasquale, Angelo, Mounayer, Jad, Canales, Diego, Beringhier, Marianne, Ghnatios, Chady, Ammar, Amine, Chinesta, Francisco
The simulation of viscoelastic time-evolution problems described by a large number of internal variables and with a large spectrum of relaxation times requires high computational resources for their resolution. Furthermore, the internal variables evo
Externí odkaz:
http://arxiv.org/abs/2408.05143
This paper presents a first implementation of the LArge Time INcrement (LATIN) method along with the model reduction technique called Proper Generalized Decomposition (PGD) for solving nonlinear low-frequency dynamics problems when dealing with a qua
Externí odkaz:
http://arxiv.org/abs/2408.05108
Autor:
Rodriguez, Sebastian, Dumpala, Sri Harsha, Dikaios, Katerina, Rempel, Sheri, Uher, Rudolf, Oore, Sageev
Current automatic depression detection systems provide predictions directly without relying on the individual symptoms/items of depression as denoted in the clinical depression rating scales. In contrast, clinicians assess each item in the depression
Externí odkaz:
http://arxiv.org/abs/2406.16000
The efficiency of classical Autoencoders (AEs) is limited in many practical situations. When the latent space is reduced through autoencoders, feature extraction becomes possible. However, overfitting is a common issue, leading to ``holes'' in AEs' i
Externí odkaz:
http://arxiv.org/abs/2405.13980
Autor:
Lee, Jaewook, Wang, Jun, Brown, Elizabeth, Chu, Liam, Rodriguez, Sebastian S., Froehlich, Jon E.
Voice assistants (VAs) like Siri and Alexa are transforming human-computer interaction; however, they lack awareness of users' spatiotemporal context, resulting in limited performance and unnatural dialogue. We introduce GazePointAR, a fully-function
Externí odkaz:
http://arxiv.org/abs/2404.08213
Excitons, or bound electron-hole pairs, play a crucial role in the optical response of monolayer, 2H-phase transition-metal dichalcogenides (TMDs). They hold significant promise for the development of novel quantum opto-electronic devices due to thei
Externí odkaz:
http://arxiv.org/abs/2403.19189
Within the framework of computational plasticity, recent advances show that the quasi-static response of an elasto-plastic structure under cyclic loadings may exhibit a time multiscale behaviour. In particular, the system response can be computed in
Externí odkaz:
http://arxiv.org/abs/2308.12928
For the numerical simulation of time-dependent problems, recent works suggest the use of a time marching scheme based on a tensorial decomposition of the time axis. This time-separated representation is straightforwardly introduced in the framework o
Externí odkaz:
http://arxiv.org/abs/2304.11026
Autor:
Liu, Jinyu, Zhou, Yinong, Rodriguez, Sebastian Yepez, Delmont, Matthew A., Welser, Robert A., Sirica, Nicholas, McClure, Kaleb, Vilmercati, Paolo, Ziller, Joseph W., Mannella, Norman, Sanchez-Yamagishi, Javier D., Pettes, Michael T., Wu, Ruqian, Jauregui, Luis A.
Controlling materials to create and tune topological phases of matter could potentially be used to explore new phases of topological quantum matter and to create novel devices where the carriers are topologically protected. It has been demonstrated t
Externí odkaz:
http://arxiv.org/abs/2304.09072