Pages that link to "Item:Q2021276"
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The following pages link to A wavelet-based learning approach assisted multiscale analysis for estimating the effective thermal conductivities of particulate composites (Q2021276):
Displaying 5 items.
- Optimum convergence parameters of lattice Boltzmann method for predicting effective thermal conductivity (Q2136726) (← links)
- Ensemble wavelet-learning approach for predicting the effective mechanical properties of concrete composite materials (Q2171482) (← links)
- A neural network-aided Bayesian identification framework for multiscale modeling of nanocomposites (Q2237439) (← links)
- A Mixed Wavelet-Learning Method of Predicting Macroscopic Effective Heat Transfer Conductivities of Braided Composite Materials (Q5065186) (← links)
- Higher-order multi-scale physics-informed neural network (HOMS-PINN) method and its convergence analysis for solving elastic problems of authentic composite materials (Q6633295) (← links)
