What is he best known for?
The fields of study he is best known for:
- Operating system
- Mechanics
- Thermodynamics
Jay P. Boris spends much of his time researching Mechanics, Flux-corrected transport, Classical mechanics, Continuity equation and Detonation.
As a member of one scientific family, Jay P. Boris mostly works in the field of Mechanics, focusing on Reflection and, on occasion, Transverse plane, Curvature, Transverse wave and Shock tube.
Jay P. Boris interconnects Numerical diffusion, Computational fluid dynamics, Elliptic curve, Applied mathematics and Algorithm in the investigation of issues within Flux-corrected transport.
His Classical mechanics research includes elements of Triangle mesh, Mathematical model, Surface wave and Nonlinear system.
His work deals with themes such as Turbulence, Thermal conductivity and Computer simulation, which intersect with Mathematical model.
Jay P. Boris undertakes multidisciplinary studies into Continuity equation and Eulerian path in his work.
His most cited work include:
- Flux-corrected transport. I. SHASTA, a fluid transport algorithm that works (1740 citations)
- Numerical Simulation of Reactive Flow (990 citations)
- New Insights into Large Eddy Simulation (793 citations)
What are the main themes of his work throughout his whole career to date?
Jay P. Boris mostly deals with Mechanics, Computational fluid dynamics, Turbulence, Fluid dynamics and Computer simulation.
His research brings together the fields of Classical mechanics and Mechanics.
The concepts of his Computational fluid dynamics study are interwoven with issues in Aerodynamics, Complex geometry and Computation.
His biological study spans a wide range of topics, including Statistical physics and Computational science.
He has included themes like Compressible flow and Vorticity in his Turbulence study.
As part of his studies on Fluid dynamics, Jay P. Boris often connects relevant subjects like Mathematical analysis.
He most often published in these fields:
- Mechanics (37.61%)
- Computational fluid dynamics (14.22%)
- Turbulence (11.47%)
What were the highlights of his more recent work (between 2007-2019)?
- Mechanics (37.61%)
- Simulation (6.42%)
- Computational fluid dynamics (14.22%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mechanics, Simulation, Computational fluid dynamics, Grid and Monotonic function.
His Mechanics research incorporates elements of Engineering design process and Dynamics.
The study incorporates disciplines such as Airflow, Aerodynamics, Convection and Computational science in addition to Computational fluid dynamics.
He has researched Monotonic function in several fields, including Mathematical optimization and Data structure.
His Turbulence research integrates issues from Surface roughness, Jet, Supersonic speed and Flux-corrected transport.
His studies deal with areas such as Numerical diffusion, Statistical physics and Continuity equation as well as Flux-corrected transport.
Between 2007 and 2019, his most popular works were:
- Large Scale Urban Simulations with FCT (26 citations)
- Effect of the Initial Turbulence Level on an Underexpanded Supersonic Jet (9 citations)
- Apparatus system and method of depicting plume arrival times (9 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Thermodynamics
- Mechanical engineering
Jay P. Boris mainly investigates Turbulence, Aerodynamics, Large eddy simulation, Mechanics and Simulation.
The various areas that Jay P. Boris examines in his Large eddy simulation study include Computational fluid dynamics and Convection.
The Computational fluid dynamics study combines topics in areas such as Direct numerical simulation, Complex geometry and Dissipation.
His Mechanics research is multidisciplinary, incorporating perspectives in Surface roughness and Flux-corrected transport.
His Flux-corrected transport research is multidisciplinary, relying on both Numerical diffusion, Particle image velocimetry, Compressible flow and Continuity equation.
His work carried out in the field of Simulation brings together such families of science as Grid, Real-time computing, Monotonic function and Data structure.
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