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Solving large-scale variational inequalities with dynamically adjusting initial condition in physics-informed neural networks
Solving large-scale variational inequalities with dynamically adjusting initial condition in physics-informed neural networks
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Solving large-scale variational inequalities with dynamically adjusting initial condition in physics-informed neural networks

Wu, Dawen ; Chamoin, Ludovic ; Lisser, Abdel

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117156, Article 117156 [Periódico revisado por pares]

Elsevier B.V

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Phase-field modelling of dynamic hydraulic fracturing in porous media using a strain-based crack width formulation
Phase-field modelling of dynamic hydraulic fracturing in porous media using a strain-based crack width formulation
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Phase-field modelling of dynamic hydraulic fracturing in porous media using a strain-based crack width formulation

Shahoveisi, Sana ; Vahab, Mohammad ; Shahbodagh, Babak ; Eisenträger, Sascha ; Khalili, Nasser

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117113, Article 117113 [Periódico revisado por pares]

Elsevier B.V

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An immersed boundary fast meshfree integration methodology with consistent weight learning
An immersed boundary fast meshfree integration methodology with consistent weight learning
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An immersed boundary fast meshfree integration methodology with consistent weight learning

Ying, Jijun ; Wang, Dongdong ; Deng, Like ; Lin, Zhiwei

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117121, Article 117121 [Periódico revisado por pares]

Elsevier B.V

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4
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes
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Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes

Würth, Tobias ; Freymuth, Niklas ; Zimmerling, Clemens ; Neumann, Gerhard ; Kärger, Luise

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117102, Article 117102 [Periódico revisado por pares]

Elsevier B.V

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5
Data-driven aerodynamic shape design with distributionally robust optimization approaches
Data-driven aerodynamic shape design with distributionally robust optimization approaches
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Data-driven aerodynamic shape design with distributionally robust optimization approaches

Chen, Long ; Rottmayer, Jan ; Kusch, Lisa ; Gauger, Nicolas ; Ye, Yinyu

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117131, Article 117131 [Periódico revisado por pares]

Elsevier B.V

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Dynamic flux surrogate-based partitioned methods for interface problems
Dynamic flux surrogate-based partitioned methods for interface problems
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Dynamic flux surrogate-based partitioned methods for interface problems

Bochev, Pavel ; Owen, Justin ; Kuberry, Paul ; Connors, Jeffrey

Computer methods in applied mechanics and engineering, 2024-09, Vol.429 (C), p.117115, Article 117115 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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7
Koopman dynamic-oriented deep learning for invariant subspace identification and full-state prediction of complex systems
Koopman dynamic-oriented deep learning for invariant subspace identification and full-state prediction of complex systems
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Koopman dynamic-oriented deep learning for invariant subspace identification and full-state prediction of complex systems

Wu, Jiaxin ; Luo, Min ; Xiao, Dunhui ; Pain, Christopher C. ; Khoo, Boo Cheong

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117071, Article 117071 [Periódico revisado por pares]

Elsevier B.V

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Multiscale formulation for materials composed by a saturated porous matrix and solid inclusions
Multiscale formulation for materials composed by a saturated porous matrix and solid inclusions
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Multiscale formulation for materials composed by a saturated porous matrix and solid inclusions

Anonis, Reinaldo A. ; Mroginski, Javier L. ; Sánchez, Pablo J.

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117162, Article 117162 [Periódico revisado por pares]

Elsevier B.V

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Eikonal gradient-enhanced regularization of anisotropic second-order tensorial continuum damage models for quasi-brittle materials
Eikonal gradient-enhanced regularization of anisotropic second-order tensorial continuum damage models for quasi-brittle materials
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Eikonal gradient-enhanced regularization of anisotropic second-order tensorial continuum damage models for quasi-brittle materials

Ribeiro Nogueira, Breno ; Rastiello, Giuseppe ; Giry, Cédric ; Gatuingt, Fabrice ; Callari, Carlo

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117100, Article 117100 [Periódico revisado por pares]

Elsevier B.V

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10
An MPMD approach coupling electromagnetic continuum mechanics approximations in ALEGRA
An MPMD approach coupling electromagnetic continuum mechanics approximations in ALEGRA
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An MPMD approach coupling electromagnetic continuum mechanics approximations in ALEGRA

Robinson, Allen C. ; Drake, Richard R. ; Luchini, Christopher B. ; Moral, Ramón J. ; Niederhaus, John H.J. ; Petney, Sharon V.

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117164, Article 117164 [Periódico revisado por pares]

Elsevier B.V

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Deste Autor:

  1. Buscaglia, G
  2. Silva, E
  3. Ausas, R
  4. Sousa, F
  5. Coda, H

Neste Assunto:

  1. Mathematics
  2. Engineering
  3. Mechanics
  4. Technology
  5. Science & Technology

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