What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Thermodynamics
- Mathematical analysis
Mechanics, Bifurcation, Finite element method, Software and Compressibility are his primary areas of study.
His studies in Bifurcation integrate themes in fields like Flow, Characteristic length, Combustion and Classical mechanics.
His Finite element method research includes elements of Porous solids and Robustness.
His studies deal with areas such as Algorithm, Software engineering and Process as well as Software.
His Algorithm research is multidisciplinary, incorporating elements of Stability, Partial differential equation, Continuation, Code and Function.
His Compressibility research integrates issues from Porosity, Porous medium, Geometry, Automatic differentiation and Structural engineering.
His most cited work include:
- An overview of the Trilinos project (839 citations)
- The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution (143 citations)
- Numerical Bifurcation Methods and their Application to Fluid Dynamics: Analysis beyond Simulation (130 citations)
What are the main themes of his work throughout his whole career to date?
Andrew G. Salinger spends much of his time researching Finite element method, Computational science, Mechanics, Ice sheet and Solver.
The Finite element method study combines topics in areas such as Computational fluid dynamics, Geometry, Mathematical optimization, Applied mathematics and Nonlinear system.
His Computational science research includes themes of Multiphysics, Quantum computer, Supercomputer and Massively parallel.
In his study, Flow is inextricably linked to Bifurcation, which falls within the broad field of Mechanics.
The various areas that Andrew G. Salinger examines in his Ice sheet study include Climatology, Geophysics and Ice-sheet model.
His research investigates the link between Solver and topics such as Preconditioner that cross with problems in Boundary value problem.
He most often published in these fields:
- Finite element method (18.52%)
- Computational science (17.28%)
- Mechanics (12.35%)
What were the highlights of his more recent work (between 2014-2021)?
- Ice sheet (9.88%)
- Computational science (17.28%)
- Finite element method (18.52%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Ice sheet, Computational science, Finite element method, Ice-sheet model and Climatology.
Andrew G. Salinger has researched Computational science in several fields, including Multiphysics, Supercomputer and Polygon mesh.
His Finite element method research integrates issues from Mechanical engineering, Matrix, Multigrid method, Partial differential equation and Component-based software engineering.
His Partial differential equation research incorporates elements of Discretization, Numerical analysis, Boundary value problem and Robustness.
His studies in Ice-sheet model integrate themes in fields like Glacier, Greenland ice sheet, Initialization and Solver.
Andrew G. Salinger interconnects Momentum balance, Mechanics and Quantum electrodynamics in the investigation of issues within Coupling.
Between 2014 and 2021, his most popular works were:
- The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution (143 citations)
- An Overview of the Atmospheric Component of the Energy Exascale Earth System Model (63 citations)
- Albany/FELIX : a parallel, scalable and robust, finite element, first-order Stokes approximation ice sheet solver built for advanced analysis (33 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Thermodynamics
- Mathematical analysis
Finite element method, Ice sheet, Ice-sheet model, Computational science and Solver are his primary areas of study.
In most of his Finite element method studies, his work intersects topics such as Code.
His work in Code addresses issues such as Finite element code, which are connected to fields such as Parallel computing.
The study incorporates disciplines such as Voronoi diagram, Geometry, Glacier, Greenland ice sheet and Antarctic ice sheet in addition to Ice-sheet model.
The concepts of his Computational science study are interwoven with issues in Multigrid method, Partial differential equation, Preconditioner, Algorithm and Anisotropy.
His studies deal with areas such as Discretization, Numerical analysis, Boundary value problem and Robustness as well as Partial differential equation.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
