Zobrazeno 1 - 10 of 33 pro vyhledávání: '"Jakub Lengiewicz"'
1
Akademický článek
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics
Autor: Saurabh Deshpande, Raúl I. Sosa, Stéphane P. A. Bordas, Jakub Lengiewicz
Publikováno v: Frontiers in Materials, Vol 10 (2023)
Deep learning surrogate models are being increasingly used in accelerating scientific simulations as a replacement for costly conventional numerical techniques. However, their use remains a significant challenge when dealing with real-world complex e
Externí odkaz: https://doaj.org/article/55ee0b2ad62845e4bca1effb76cf083f
Zobrazit plný text záznamu
2
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics
Autor: Saurabh Deshpande, Raúl I. Sosa, Stéphane P. A. Bordas, Jakub Lengiewicz
Deep learning surrogate models are being increasingly used in accelerating scientific simulations as a replacement for costly conventional numerical techniques. However, their use remains a significant challenge when dealing with real-world complex e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::921661e7a4ace153fb90fd3151cc7033
http://arxiv.org/abs/2212.01386
Zobrazit plný text záznamu
3
Probabilistic Deep Learning for Real-Time Large Deformation Simulations
Autor: Saurabh Deshpande, Jakub Lengiewicz, Stéphane P.A. Bordas
Publikováno v: info:eu-repo/grantAgreement/EC/H2020/764644
For many novel applications, such as patient-specific computer-aided surgery, conventional solution techniques of the underlying nonlinear problems are usually computationally too expensive and are lacking information about how certain can we be abou
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b35f9e3b3301c11797575eb3c0a94960
http://orbilu.uni.lu/handle/10993/51869
Zobrazit plný text záznamu
5
Distributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter
Autor: Benoît Piranda, Stéphane Bordas, Paweł Chodkiewicz, Julien Bourgeois, Pawel Holobut, Jakub Lengiewicz
Publikováno v: IEEE Transactions on Robotics
info:eu-repo/grantAgreement/EC/H2020/800150
We present a distributed framework for predicting whether a planned reconfiguration step of a modular robot will mechanically overload the structure, causing it to break or lose stability under its own weight. The algorithm is executed by the modular
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05bdb7d601605f8c92981c3b92f56e49
Zobrazit plný text záznamu
7
Beam-inside-beam contact: Mechanical simulations of slender medical instruments inside the human body
Autor: Marco Magliulo, Andreas Zilian, Jakub Lengiewicz, Lars Beex
Publikováno v: info:eu-repo/grantAgreement/EC/H2020/800150
Computer Methods and Programs in Biomedicine
Background and Objective This contribution presents a rapid computational framework to mechanically simulate the insertion of a slender medical instrument in a tubular structure such as an artery, the cochlea or another slender instrument. Methods Be
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::652b8a56072b67148f877b8185f4fc8d
http://orbilu.uni.lu/handle/10993/43082
Zobrazit plný text záznamu
8
Finite deformations govern the anisotropic shear-induced area reduction of soft elastic contacts
Autor: Julien Scheibert, Cédric Courbon, M. de Souza, Mustapha Lahmar, Davy Dalmas, Stanisław Stupkiewicz, Jakub Lengiewicz
Publikováno v: Journal of the Mechanics and Physics of Solids
Journal of the Mechanics and Physics of Solids, Elsevier, 2020, 143, pp.104056. ⟨10.1016/j.jmps.2020.104056⟩
info:eu-repo/grantAgreement/EC/H2020/800150
Solid contacts involving soft materials are important in mechanical engineering or biomechanics. Experimentally, such contacts have been shown to shrink significantly under shear, an effect which is usually explained using adhesion models. Here we sh
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ac12d9fc8bd37eb60d661b01be2581f
https://hal.archives-ouvertes.fr/hal-02562750
Zobrazit plný text záznamu
9
Non-localised contact between beams with circular and elliptical cross-sections
Autor: Lars Beex, Marco Magliulo, Andreas Zilian, Jakub Lengiewicz
Publikováno v: Computational Mechanics
info:eu-repo/grantAgreement/EC/H2020/800150
The key novelty of this contribution is a dedicated technique to efficiently determine the distance (gap) function between parallel or almost parallel beams with circular and elliptical cross-sections. The technique consists of parametrizing the surf
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5973f0956bd8c9ef2a42cbe30d2151e2
Zobrazit plný text záznamu
10
Autonomous model-based assessment of mechanical failures of reconfigurable modular robots with a Conjugate Gradient solver
Autor: Stéphane Bordas, Pawel Holobut, Jakub Lengiewicz
Publikováno v: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
info:eu-repo/grantAgreement/EC/H2020/800150
IROS
Large-scale 3D autonomous self-reconfigurable modular robots are made of numerous interconnected robotic modules that operate in a close packing. The modules are assumed to have their own CPU and memory, and are only able to communicate with their di
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::820e67449957714541fc000497ccd021
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje