Pages that link to "Item:Q2020855"
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The following pages link to A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network (Q2020855):
Displaying 11 items.
- Circumventing the solution of inverse problems in mechanics through deep learning: application to elasticity imaging (Q1988119) (← links)
- Multiscale modeling of inelastic materials with thermodynamics-based artificial neural networks (TANN) (Q2160403) (← links)
- Poroelastic model parameter identification using artificial neural networks: on the effects of heterogeneous porosity and solid matrix Poisson ratio (Q2205170) (← links)
- Computational stochastic homogenization of heterogeneous media from an elasticity random field having an uncertain spectral measure (Q2667302) (← links)
- Interfacing finite elements with deep neural operators for fast multiscale modeling of mechanics problems (Q2679283) (← links)
- Data-driven elasto-(visco)-plasticity involving hidden state variables (Q2679308) (← links)
- AI in computational mechanics and engineering sciences (Q2693415) (← links)
- NEW REGULARIZATION BY TRANSFORMATION FOR NEURAL NETWORK BASED INVERSE ANALYSES AND ITS APPLICATION TO STRUCTURE IDENTIFICATION (Q4355301) (← links)
- Inverse problem of aircraft structural parameter estimation: application of neural networks (Q5481772) (← links)
- A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content (Q6096512) (← links)
- A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites (Q6557800) (← links)
