Latest Research in Model Reduction and Neural Networks

Top Research Topics in Model Reduction and Neural Networks

• Model Reduction and Neural Networks — 8 papers
• Topology Optimization in Engineering — 7 papers
• Machine Learning — 5 papers
• Numerical Analysis — 3 papers
• Materials Science — 2 papers
• Advanced Numerical Methods in Computational Mathematics — 2 papers
• Computational Engineering, Finance, and Science — 2 papers
• Numerical methods in engineering — 2 papers
• Metal Forming Simulation Techniques — 1 papers
• Mathematical Physics — 1 papers

Highest-Cited Papers

1. Requirements for numeric models as sources of synthetic data for predicting real-world data sets in progressive deep drawing processes
2. CGAN-Based Surrogate Model for Predicting Von Mises Stress Distribution in 3D Structures
3. Closed-loop generative inverse design of lattice structures via reinforcement learning
4. A Cumulative Framework for Solid Deformation
5. Customized topology optimization of tensegrity modules for modular assembly
6. Stress singularity removal and size effect analysis of symmetrical laminated sandwich plates with gradient elasticity theory
7. A multi-scale normal contact modeling of mechanical joint surfaces considering macro-meso-microscopic geometric parameters
8. Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography
9. WINO: A weak-form physics informed neural operator for hyperelasticity on variable domains
10. Simultaneous determination of shape and material distribution for shell structures under large elastic deformations via topology optimisation and inverse finite element analysis
11. Lightweight Design of Aircraft Engine Pylon Using Multi-Load Topology and Size Optimization
12. Elastoplastic Analysis of Tunnels Using the Energy‐Based Physics‐Encoded Deep Learning Framework
13. Repair timing criteria for rib-to-deck weld-root cracks considering local stress redistribution and field-observed cracking characteristics
14. Reliable training of neural hyperelastic models via full-field data
15. RUPA: Nonlinear volume consistency, constraint geometry and singular penalty limits in finite elements
16. Hyperelastic constitutive model discovery with differentiable finite elements and structure-preserving neural networks
17. A DPG method for the circular arch problem
18. Hyperelastic constitutive model discovery with differentiable finite elements and structure-preserving neural networks
19. Anisotropic Hyperelastic Modelling and Numerical Investigation of the Quasi-Static Compression Response of a Flexible Anti-Collision Airbag
20. Robust Inverse Identification of Heterogeneous Hyperelastic Materials Under Large Deformation via Residual‐Adaptive Physics‐Informed Neural Networks