default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAdvanced Modeling and Simulation in Engineering Sciences, Volume 10
Volume 10, Number 1, December 2023
- Kumpei Tsuji
, Mitsuteru Asai, Kiyonobu Kasama:
Seepage failure prediction of breakwater using an unresolved ISPH-DEM coupling method enriched with Terzaghi's critical hydraulic gradient. 1 - Mao Kurumatani, Takumi Kato, Hiromu Sasaki:
Damage model for simulating cohesive fracture behavior of multi-phase composite materials. 2 - Farouk Maaboudallah, Noureddine Atalla:
A "data-driven uncertainty" computational method to model and predict instabilities of a frictional system. 3 - Abel Sancarlos, Victor Champaney, Elías Cueto, Francisco Chinesta:
Regularized regressions for parametric models based on separated representations. 4 - Saddam Hijazi, Melina A. Freitag, Niels Landwehr:
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations. 5 - Rishith Ellath Meethal, Anoop Kodakkal, Mohamed Khalil, Aditya Ghantasala, Birgit Obst, Kai-Uwe Bletzinger, Roland Wüchner:
Finite element method-enhanced neural network for forward and inverse problems. 6 - Azzedine Abdedou, Azzeddine Soulaïmani:
Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders. 7 - Hannes Fröck, Matthias Graser, Michael Reich, Michael Lechner, Marion Merklein, Olaf Kessler:
Numerical modelling of the process chain for aluminium Tailored Heat-Treated Profiles. 8 - Yi Zhang, Lars Mikelsons:
Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration. 9 - Ana C. Ordonez, Nicolas Tardieu, Carola Kruse, Daniel Ruiz, Sylvie Granet:
Scalable block preconditioners for saturated thermo-hydro-mechanics problems. 10 - Naoto Mitsume:
Compatible interface wave-structure interaction model for combining mesh-free particle and finite element methods. 11 - Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A DeepONet multi-fidelity approach for residual learning in reduced order modeling. 12 - Reika Nomura, Shinsuke Takase, Shuji Moriguchi, Kenjiro Terada:
On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests. 13 - Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann:
Solving multiphysics-based inverse problems with learned surrogates and constraints. 14 - Rajit Ranjan, Matthijs Langelaar, Fred van Keulen, Can Ayas:
Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes. 15 - Lingga Aksara Putra, Bernhard Huber, Matthias Gaderer:
Real-world application of a discrete feedback control system for flexible biogas production. 16 - Pratyush Bhatt, Yash Kumar, Azzeddine Soulaïmani:
Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems. 17
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-01-18 00:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
