Computational Structural Mechanics Association

AMSES

The CSMA has been providing financial and scientific support since 2012 to the OpenAccess journal Advanced Modeling and Simulation in Engineering Sciences. The journal, previously led by editor-in-chief Pierre Ladevèze until may 2024, is published by Springer. Francisco Chinesta has taken over as editor-in-chief since that date, ensuring continuity.
The process of indexing a new journal is particularly lengthy. The success of the journal led to its indexing in 2023.
SCImago Journal & Country Rank

HAL list of articles published in AMSES journal


280 documents

  • Naoto Mitsume. Compatible interface wave–structure interaction model for combining mesh-free particle and finite element methods. Advanced Modeling and Simulation in Engineering Sciences, 2023, Recent Advances in hypercomplex disaster simulations, 10 (1), pp.1-31. ⟨10.1186/s40323-023-00248-w⟩. ⟨hal-04456067⟩
  • Ana C. Ordonez, Nicolas Tardieu, Carola Kruse, Daniel Ruiz, Sylvie Granet. Scalable block preconditioners for saturated thermo-hydro-mechanics problems. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-31. ⟨10.1186/s40323-023-00245-z⟩. ⟨hal-04513963⟩
  • Yi Zhang, Lars Mikelsons. Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-28. ⟨10.1186/s40323-023-00246-y⟩. ⟨hal-04513964⟩
  • Hannes Fröck, Matthias Graser, Michael Reich, Michael Lechner, Marion Merklein, et al.. Numerical modelling of the process chain for aluminium Tailored Heat-Treated Profiles. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-18. ⟨10.1186/s40323-023-00247-x⟩. ⟨hal-04513965⟩
  • Azzedine Abdedou, Azzeddine Soulaimani. Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-27. ⟨10.1186/s40323-023-00244-0⟩. ⟨hal-04513966⟩
  • Rishith E. Meethal, Anoop Kodakkal, Mohamed Khalil, Aditya Ghantasala, Birgit Obst, et al.. Finite element method-enhanced neural network for forward and inverse problems. Advanced Modeling and Simulation in Engineering Sciences, 2023, Physics-Informed and Scientific Machine Learning, 10 (1), pp.1-23. ⟨10.1186/s40323-023-00243-1⟩. ⟨hal-04458281⟩
  • Saddam Hijazi, Melina Freitag, Niels Landwehr. POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-38. ⟨10.1186/s40323-023-00242-2⟩. ⟨hal-04513967⟩
  • Abel Sancarlos, Victor Champaney, Elias Cueto, Francisco Chinesta. Regularized regressions for parametric models based on separated representations. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10, pp.1-26. ⟨10.1186/s40323-023-00240-4⟩. ⟨hal-04163203⟩
  • Farouk Maaboudallah, Noureddine Atalla. A “data-driven uncertainty” computational method to model and predict instabilities of a frictional system. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-30. ⟨10.1186/s40323-023-00241-3⟩. ⟨hal-04513968⟩
  • Mao Kurumatani, Takumi Kato, Hiromu Sasaki. Damage model for simulating cohesive fracture behavior of multi-phase composite materials. Advanced Modeling and Simulation in Engineering Sciences, 2023, Recent Advances in hypercomplex disaster simulations, 10 (1), pp.1-17. ⟨10.1186/s40323-022-00238-4⟩. ⟨hal-04456069⟩

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