What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Finite element method
- Algorithm
The scientist’s investigation covers issues in Finite element method, Mesh generation, Computational fluid dynamics, Mathematical analysis and Euler equations.
He has included themes like Discretization, Compressible flow, Boundary value problem and Computational science in his Finite element method study.
His Mesh generation research is multidisciplinary, relying on both Grid, Unstructured grid, Engineering drawing, Interpolation and Algorithm.
His Computational fluid dynamics research entails a greater understanding of Mechanics.
His work carried out in the field of Mathematical analysis brings together such families of science as Galerkin method, Robustness and Discontinuous Galerkin method.
His Euler equations research incorporates elements of Navier–Stokes equations and Classical mechanics.
His most cited work include:
- Generation of three-dimensional unstructured grids by the advancing-front method (500 citations)
- Finite Element Flux-Corrected Transport (FEM-FCT) for the Euler and Navier-Stokes equations (380 citations)
- An adaptive finite element scheme for transient problems in CFD (269 citations)
What are the main themes of his work throughout his whole career to date?
Rainald Löhner mostly deals with Computational fluid dynamics, Finite element method, Mechanics, Computational science and Mesh generation.
His studies deal with areas such as Flow, Geometry, Compressible flow, Applied mathematics and Euler's formula as well as Computational fluid dynamics.
Rainald Löhner works mostly in the field of Finite element method, limiting it down to concerns involving Mathematical analysis and, occasionally, Discontinuous Galerkin method.
His research combines Unstructured grid and Computational science.
His Unstructured grid research is multidisciplinary, incorporating elements of Euler equations, Regular grid and Parallel computing.
His study in Mesh generation is interdisciplinary in nature, drawing from both Grid, Surface and Algorithm.
He most often published in these fields:
- Computational fluid dynamics (26.15%)
- Finite element method (24.54%)
- Mechanics (17.20%)
What were the highlights of his more recent work (between 2012-2021)?
- Computational fluid dynamics (26.15%)
- Finite difference (3.67%)
- Pedestrian (2.98%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computational fluid dynamics, Finite difference, Pedestrian, Mechanics and Computational science.
His Computational fluid dynamics research is multidisciplinary, incorporating perspectives in High fidelity, Airflow, Work and Finite element method.
Finite element method is a subfield of Structural engineering that he explores.
His studies in Finite difference integrate themes in fields like Applied mathematics, Lattice Boltzmann methods and Cartesian coordinate system.
His research in Lattice Boltzmann methods intersects with topics in Incompressible flow, Solver and Mathematical analysis.
His research integrates issues of Grid and Mesh generation in his study of Computational science.
Between 2012 and 2021, his most popular works were:
- Modeling subway air flow using CFD (34 citations)
- Recent Advances in Parallel Advancing Front Grid Generation (28 citations)
- Improved error and work estimates for high-order elements (27 citations)
In his most recent research, the most cited papers focused on:
- Geometry
- Mechanical engineering
- Mathematical analysis
His scientific interests lie mostly in Computational fluid dynamics, Simulation, Finite difference, Solver and Computational science.
His Computational fluid dynamics study combines topics from a wide range of disciplines, such as Range, High fidelity, Transmission and Finite element method.
In his articles, he combines various disciplines, including Finite element method and Coronavirus disease 2019.
His research investigates the connection between Finite difference and topics such as Central processing unit that intersect with problems in Parallel computing.
In Solver, Rainald Löhner works on issues like Cartesian coordinate system, which are connected to Interpolation and Applied mathematics.
His Computational science study typically links adjacent topics like Grid.
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