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Multilevel domain decomposition-based architectures for physics-informed neural networks
Multilevel domain decomposition-based architectures for physics-informed neural networks
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Multilevel domain decomposition-based architectures for physics-informed neural networks

Dolean, Victorita ; Heinlein, Alexander ; Mishra, Siddhartha ; Moseley, Ben

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117116, Article 117116 [Periódico revisado por pares]

Elsevier B.V

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12
Points of inflection of special eigenvalue functions as indicators of stiffness maxima/minima of proportionally loaded structures
Points of inflection of special eigenvalue functions as indicators of stiffness maxima/minima of proportionally loaded structures
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Points of inflection of special eigenvalue functions as indicators of stiffness maxima/minima of proportionally loaded structures

Wagner, A. ; Kalliauer, J. ; Aminbaghai, M. ; Mang, H.A.

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117139, Article 117139 [Periódico revisado por pares]

Elsevier B.V

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13
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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14
A time viscosity-splitting method for incompressible flows with temperature-dependent viscosity and thermal conductivity
A time viscosity-splitting method for incompressible flows with temperature-dependent viscosity and thermal conductivity
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A time viscosity-splitting method for incompressible flows with temperature-dependent viscosity and thermal conductivity

El-Amrani, Mofdi ; Obbadi, Anouar ; Seaid, Mohammed ; Yakoubi, Driss

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117103, Article 117103 [Periódico revisado por pares]

Elsevier B.V

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15
A partitioned flexibility (PartFlex) method for structural analysis
A partitioned flexibility (PartFlex) method for structural analysis
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A partitioned flexibility (PartFlex) method for structural analysis

Park, K.C. ; Felippa, C.A. ; Kang, S.H. ; González, J.A. ; Shin, S.J. ; Park, Y.H. ; Kim, J.G.

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117155, Article 117155 [Periódico revisado por pares]

Elsevier B.V

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16
Transfer learning for accelerating phase-field modeling of ferroelectric domain formation in large-scale 3D systems
Transfer learning for accelerating phase-field modeling of ferroelectric domain formation in large-scale 3D systems
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Transfer learning for accelerating phase-field modeling of ferroelectric domain formation in large-scale 3D systems

Alhada-Lahbabi, Kévin ; Deleruyelle, Damien ; Gautier, Brice

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117167, Article 117167 [Periódico revisado por pares]

Elsevier B.V

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17
FE-LSTM: A hybrid approach to accelerate multiscale simulations of architectured materials using Recurrent Neural Networks and Finite Element Analysis
FE-LSTM: A hybrid approach to accelerate multiscale simulations of architectured materials using Recurrent Neural Networks and Finite Element Analysis
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FE-LSTM: A hybrid approach to accelerate multiscale simulations of architectured materials using Recurrent Neural Networks and Finite Element Analysis

Danoun, Aymen ; Prulière, Etienne ; Chemisky, Yves

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, Article 117192 [Periódico revisado por pares]

Elsevier B.V

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18
Partitioned neural network approximation for partial differential equations enhanced with Lagrange multipliers and localized loss functions
Partitioned neural network approximation for partial differential equations enhanced with Lagrange multipliers and localized loss functions
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Partitioned neural network approximation for partial differential equations enhanced with Lagrange multipliers and localized loss functions

Jang, Deok-Kyu ; Kim, Kyungsoo ; Kim, Hyea Hyun

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117168, Article 117168 [Periódico revisado por pares]

Elsevier B.V

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19
Topology optimization of smart structures with embedded piezoelectric stack actuators using a composite geometry projection method
Topology optimization of smart structures with embedded piezoelectric stack actuators using a composite geometry projection method
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Topology optimization of smart structures with embedded piezoelectric stack actuators using a composite geometry projection method

de Almeida, Breno Vincenzo ; Pavanello, Renato ; Langelaar, Matthijs

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117120, Article 117120 [Periódico revisado por pares]

Elsevier B.V

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20
Interface PINNs (I-PINNs): A physics-informed neural networks framework for interface problems
Interface PINNs (I-PINNs): A physics-informed neural networks framework for interface problems
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Interface PINNs (I-PINNs): A physics-informed neural networks framework for interface problems

Sarma, Antareep Kumar ; Roy, Sumanta ; Annavarapu, Chandrasekhar ; Roy, Pratanu ; Jagannathan, Shriram

Computer methods in applied mechanics and engineering, 2024-09, Vol.429, p.117135, Article 117135 [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. Sanches, R

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