|
|
|
Browsing > By Session
Phase-space iterative solvers sciencesconf.org:esmc2025:591406 |
An Efficient Multiscale Method for Modelling Anisotropic Fracture in Heterogeneous Structures Based on Data-Driven Approach sciencesconf.org:esmc2025:592686 |
Morphing As-Designed Databases for Lattice Materials with Image-Based Models to Capture Manufacturing-Induced Effects sciencesconf.org:esmc2025:592967 |
Discovering New Constitutive Models for Soft Materials by Symbolic Regression sciencesconf.org:esmc2025:592986 |
HyperCAN: Hypernetwork-driven deep parameterized constitutive models for metamaterials sciencesconf.org:esmc2025:593054 |
A data-based derivation of internal stress and material microstructure characteristics sciencesconf.org:esmc2025:593195 |
Nonlinear two-scale beam simulations accelerated by thermodynamics-informed neural networks sciencesconf.org:esmc2025:593246 |
Physics augmented neural network model for simple isotropic damage in hyperelasticity sciencesconf.org:esmc2025:592612 |
Neural simulation of plastic phenomena using MeshGraphNets sciencesconf.org:esmc2025:593324 |
A Neural Network-Based Framework for Data-Driven Inelasticity in Two Dimensions sciencesconf.org:esmc2025:593525 |
Data-driven finite element computations for materials with an open-cell microstructure sciencesconf.org:esmc2025:593370 |
Hybrid modeling via machine learning corrections of numerical process simulations towards experimental measurements for friction surfacing sciencesconf.org:esmc2025:593276 |
Efficient and noise-resilient nonlinear elastic simulations via a continuous data-driven framework sciencesconf.org:esmc2025:596912 |
Optimization of TFA homogenization based on data-driven approach sciencesconf.org:esmc2025:597519 |
Graph neural network modeling of time-dependent materials under indentation sciencesconf.org:esmc2025:595373 |
A Thermodynamic-Consistent Reduced-Order Machine Learning Model for Non-Equilibrium Materials Response sciencesconf.org:esmc2025:593213 |
