Optimization & Inverse Methods Blog Posts
Model Vortex Lattice Formation in a Bose–Einstein Condensate
Bose–Einstein condensation can cause superfluidity, superconductivity, lasers, and trapped dilute cold atoms. When such systems are subjected to rotating perturbation, it forms a vortex lattice.
Equation-Based Modeling with a Space-Time Discretization
In COMSOL Multiphysics®, almost any expression in a computational model can be modified. For example, using a space-time discretization can make optimization problems easy and fast to implement.
Implementing a Damage Evolution Law for a Hyperelastic Material
By implementing a physically motivated damage evolution law for a hyperelastic material, you can incorporate material softening, creep, and stabilization of hysteresis curves during cycling.
Estimating Hyperelastic Material Parameters via a Lap Joint Shear Test
For rubber, polymers, and biological tissue, the relationship between stress and strain is nonlinear, even at small loads. The lap joint shear test can be used to determine material properties.
Predictive Analytics Capabilities of SmartUQ® for COMSOL®
How does COMSOL Multiphysics® fit into the predictive analytics and uncertainty quantification (UQ) workflow of SmartUQ®? Guest blogger Gavin Jones demonstrates with a microwave ablation example.
How to Use Topology Optimization Results as Model Geometries
Oftentimes, topology optimization is not the last step in your design process. In fact, you can use the results from a topology optimization study as model geometries for your next analysis.
Performing a Shape and Topology Optimization of a Tesla Microvalve
1 Tesla microvalve model, 2 ways: The shape optimization features available in COMSOL Multiphysics enable you to improve simple designs inspired by more complex topology optimization results.
Estimating Parameters for a Li-Ion Battery via a Lumped Model
When performing an electrochemical analysis on a battery, an engineer might not have all of the information from the manufacturer. The solution? Parameter estimation via a lumped model…