The following pages link to DDDAS (Q30168):
Displaying 25 items.
- Least squares approach for initial data recovery in dynamic data-driven applications simulations (Q414076) (← links)
- Toward predictive multiscale modeling of vascular tumor growth, computational and experimental oncology for tumor prediction (Q525356) (← links)
- A wildland fire model with data assimilation (Q960358) (← links)
- Fast model updating coupling Bayesian inference and PGD model reduction (Q1628759) (← links)
- A manifold learning approach to data-driven computational elasticity and inelasticity (Q1639583) (← links)
- Big data in experimental mechanics and model order reduction: today's challenges and tomorrow's opportunities (Q1639599) (← links)
- FSI simulation of two back-to-back wind turbines in atmospheric boundary layer flow (Q1648585) (← links)
- A Bayesian approach to selecting hyperelastic constitutive models of soft tissue (Q1734491) (← links)
- Isogeometric analysis of continuum damage in rotation-free composite shells (Q1797982) (← links)
- An unsupervised data completion method for physically-based data-driven models (Q1986689) (← links)
- Bayesian learning of stochastic dynamical models (Q2077593) (← links)
- A predictive multiphase model of silica aerogels for building envelope insulations (Q2150246) (← links)
- Prediction and identification of physical systems by means of physically-guided neural networks with meaningful internal layers (Q2236964) (← links)
- A physics-constrained data-driven approach based on locally convex reconstruction for noisy database (Q2309342) (← links)
- A new reliability-based data-driven approach for noisy experimental data with physical constraints (Q2310160) (← links)
- The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets (Q2310925) (← links)
- A time-parallel approach to strong-constraint four-dimensional variational data assimilation (Q2375090) (← links)
- Bayesian operator inference for data-driven reduced-order modeling (Q2679294) (← links)
- A real-time variational data assimilation method with data-driven model enrichment for time-dependent problems (Q2683454) (← links)
- Urgency versus accuracy: dynamic data driven application system for natural hazard management (Q2865373) (← links)
- Special Issue in Tribute to Professor Ted Belytschko (Q2952673) (← links)
- A computational framework for dynamic data-driven material damage control, based on Bayesian inference and model selection (Q2952683) (← links)
- Real-time updating of structural mechanics models using Kalman filtering, modified constitutive relation error, and proper generalized decomposition (Q2952970) (← links)
- A Posteriori Error Estimates for the Solution of Variational Inverse Problems (Q3452521) (← links)
- Robust Data Assimilation Using $L_1$ and Huber Norms (Q5275041) (← links)
