Pages that link to "Item:Q1989089"
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The following pages link to Deep learning acceleration of total Lagrangian explicit dynamics for soft tissue mechanics (Q1989089):
Displaying 12 items.
- Deep learning for model order reduction of multibody systems to minimal coordinates (Q2020838) (← links)
- Constrained finite element method for runtime modeling of soft tissue deformation (Q2109732) (← links)
- A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features (Q2115607) (← links)
- A deep learning-based hybrid approach for the solution of multiphysics problems in electrosurgery (Q2179220) (← links)
- An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new time-distributed residual U-net architecture (Q2184471) (← links)
- A massively parallel explicit solver for elasto-dynamic problems exploiting octree meshes (Q2236942) (← links)
- A machine learning framework for accelerating the design process using CAE simulations: an application to finite element analysis in structural crashworthiness (Q2237726) (← links)
- Computational mechanics enhanced by deep learning (Q2310108) (← links)
- Editorial: Special issue on uncertainty quantification, machine learning, and data-driven modeling of biological systems (Q2310243) (← links)
- Total Lagrangian explicit dynamics finite element algorithm for computing soft tissue deformation (Q3427418) (← links)
- Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue (Q6044215) (← links)
- An explicit total Lagrangian fragile points method for finite deformation of hyperelastic materials (Q6158678) (← links)
