What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mathematical analysis
- Statistics
His main research concerns Mathematical analysis, Navier–Stokes equations, Statistical physics, Turbulence and Rayleigh number.
His Mathematical analysis study combines topics from a wide range of disciplines, such as Length scale and Scalar.
His study in Navier–Stokes equations is interdisciplinary in nature, drawing from both Partial differential equation, First-order partial differential equation, Differential equation, Variational principle and Incompressible flow.
His Statistical physics study incorporates themes from Rate equation, Non-equilibrium thermodynamics, Noise, Distribution function and Monte Carlo method.
His studies deal with areas such as Classical mechanics and Nonlinear system as well as Turbulence.
In Rayleigh number, Charles R. Doering works on issues like Nusselt number, which are connected to Convection.
His most cited work include:
- Applied analysis of the Navier-Stokes equations (429 citations)
- Resonant activation over a fluctuating barrier. (383 citations)
- Nonequilibrium fluctuation-induced transport (341 citations)
What are the main themes of his work throughout his whole career to date?
Charles R. Doering mainly investigates Mathematical analysis, Mechanics, Turbulence, Statistical physics and Convection.
His Mathematical analysis study combines topics in areas such as Flow and Navier–Stokes equations.
The study incorporates disciplines such as Body force, Classical mechanics, Laminar flow and Dissipation in addition to Turbulence.
His research in Statistical physics intersects with topics in Markov process, Non-equilibrium thermodynamics, Stochastic process, Noise and Monte Carlo method.
The concepts of his Convection study are interwoven with issues in Rayleigh scattering, Scaling and Isothermal process.
His studies in Rayleigh number integrate themes in fields like Nusselt number, Prandtl number and Heat flux.
He most often published in these fields:
- Mathematical analysis (28.29%)
- Mechanics (28.29%)
- Turbulence (22.09%)
What were the highlights of his more recent work (between 2017-2021)?
- Mechanics (28.29%)
- Convection (16.28%)
- Mathematical analysis (28.29%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mechanics, Convection, Mathematical analysis, Rayleigh number and Rayleigh scattering.
His work in the fields of Mechanics, such as Rayleigh–Bénard convection, Heat transfer, Convective heat transfer and Compressibility, intersects with other areas such as Materials science.
His Convection research includes elements of Thermal, Nusselt number, Turbulence, Fluid dynamics and Scaling.
His work carried out in the field of Turbulence brings together such families of science as Buoyancy, Heat flux and Dynamo.
His Mathematical analysis study which covers Couette flow that intersects with Plane.
His biological study spans a wide range of topics, including Prandtl number and Angular momentum.
Between 2017 and 2021, his most popular works were:
- Optimal bounds and extremal trajectories for time averages in nonlinear dynamical systems (30 citations)
- Long time behavior of the two-dimensional Boussinesq equations without buoyancy diffusion (29 citations)
- Diffusion-limited mixing by incompressible flows (19 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Statistics
Charles R. Doering spends much of his time researching Mechanics, Boundary value problem, Convection, Heat transfer and Rayleigh–Bénard convection.
The study incorporates disciplines such as Mixing and Work in addition to Mechanics.
His Convection research includes elements of Fluid dynamics, Thermal and Scaling.
His studies in Thermal integrate themes in fields like Turbulence, Convective heat transfer, Dynamo and Buoyancy.
Charles R. Doering combines subjects such as Péclet number, Upper and lower bounds, Nusselt number and Ansatz with his study of Scaling.
His Rayleigh–Bénard convection research is multidisciplinary, relying on both Rayleigh scattering, Thermal transport, Geophysics and Nonlinear system.
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.
