A5021400289- Advanced Control Systems Optimization
- Fuel Cells and Related Materials
- Advanced Numerical Methods in Computational Mathematics
- Numerical methods for differential equations
- Membrane-based Ion Separation Techniques
- Electromagnetic Simulation and Numerical Methods
- Heat and Mass Transfer in Porous Media
- Modular Robots and Swarm Intelligence
- Diatoms and Algae Research
- Advanced Multi-Objective Optimization Algorithms
- Fish Ecology and Management Studies
- Gas Dynamics and Kinetic Theory
- Topology Optimization in Engineering
- Building Energy and Comfort Optimization
- Advanced Battery Technologies Research
- Metaheuristic Optimization Algorithms Research
- Carbon Dioxide Capture Technologies
- Hydraulic and Pneumatic Systems
- Computational Geometry and Mesh Generation
- Heat Transfer and Numerical Methods
- Matrix Theory and Algorithms
- Nuclear reactor physics and engineering
- Magnetic Bearings and Levitation Dynamics
- Electromagnetic Scattering and Analysis
- Non-Destructive Testing Techniques
Lawrence Livermore National Laboratory
2020-2024
Kiel University
2018-2019
The MFEM (Modular Finite Element Methods) library is a high-performance C++ for finite element discretizations. supports numerous types of methods and the discretization engine powering many computational physics engineering applications across number domains. This paper describes some recent research development in MFEM, focusing on performance portability leadership-class supercomputing facilities, including exascale supercomputers, as well new capabilities functionality, enabling wider...
In recent years flatness-based techniques for trajectory planning have been extended to partial differential equations (PDEs). Herein a state and input parametrization is determined by means of so-called flat or basic output its derivatives. While this enables systematic solution the problem it does not allow immediately incorporate constraints inclusion optimization criteria such as energy time optimality. contribution, we extend flatness approach PDEs providing technique efficiently...
Model predictive control is developed for the example of a boundary controlled linear diffusion-convection-reaction system by exploiting flatness property PDE. This enables us to formulate optimal problem in terms flat output and its successive time derivatives, which are imposed means an integrator chain. By taking into account flatness-based state input parametrizations constraints on PDE can be easily integrated approach. The method illustrated different simulation scenarios involving...
We design heat exchangers using level-set method based topology optimization. The exchange between two fluids in separate channels is maximized while constraining the pressure drop across each channel. flow modeled by an incompressible Navier-Stokes-Brinkmann equation and transfer a convection-diffusion with high Peclet number. Each fluid region subject to its own set of equations where Brinkmann term models other as solid, thereby preventing mixing. A defines interface that separates...
The MFEM (Modular Finite Element Methods) library is a high-performance C++ for finite element discretizations. supports numerous types of methods and the discretization engine powering many computational physics engineering applications across number domains. This paper describes some recent research development in MFEM, focusing on performance portability leadership-class supercomputing facilities, including exascale supercomputers, as well new capabilities functionality, enabling wider...
The transition from fossil fuels to renewable energy has brought about a rapid increase in the availability of clean electricity.However, electricity generated sources such as wind and solar are limited intermittent operation due daily seasonal variation.One solution is utilize electrochemical devices storage manufacturing applications, where they can harness surplus decarbonize chemical industries traditionally reliant on petrochemical feedstocks.Managing growing prevalence underscores...
The robust, scalable simulation of flowing electrochemical systems is increasingly important due to the synergy between intermittent renewable energy and technologies such as storage chemical manufacturing. high Péclet regime many applications prevents use off-the-shelf discretization methods. In this work, we present a high-order Discontinuous Galerkin scheme for electroneutral Nernst-Planck equations. chosen charge conservation formulation allows specific treatment different physics:...
Motivated by an energy efficient building application, we want to optimize a quadratic cost functional subject the Boussinesq approximation of Navier-Stokes equations and bilateral state control constraints. Since computation such optimal solution is numerically costly, design strategy compute sub-optimal (but applicationally acceptable) with significantly reduced computational effort. We employ economic Model Predictive Control (MPC) obtain feedback control. The MPC sub-problems are based...