Sentences with phrase «numerical simulation modeling»

His research group studies these interactions through numerical simulation modeling at local, regional, and global scales.

Soon Thor Lim and colleagues from the A * STAR Institute of High Performance Computing found a way to combine electronic and optical effects into a single numerical simulation model.

Not exact matches

Further detailed experiments on a wide range of parameters, theoretical modelling and numerical simulation are still needed.

A paper on the numerical model, titled «Snowflake melting simulation using smoothed particle hydrodynamics,» recently appeared in the Journal of Geophysical Research — Atmospheres.

The researchers are now working with other collaborators to benchmark their experimental results against numerical simulations of the plating process in simple model systems.

French used numerical simulations to compute all components of the seismic waves, such as their scattering and diffraction, and tweaked the model repeatedly to fit recorded data using a method similar to statistical regression.

To ensure accurate anatomical representation in the numerical simulations of the sprayed drug transport process, they used computed tomography (CT) scans from CRS patients and imaging software to develop anatomically realistic digital 3 - D models.

For these comparative studies I applied both simple model calculations and massive three - dimensional direct numerical simulations on supercomputers.

Using numerical models and computer simulations, the researchers show how spinning particles, pushed about by the fluid flows created as each particle spins, can arrange themselves into an array of emergent macro-scale patterns.

Mena provided a mathematical model and numerical simulations of the phenomenon, but the next step — using evidence of the presence of glyphosate in Ecuador to determine whether Colombia had respected the no - spraying zone — proved more challenging.

Simmons, with the help of the Arctic Region Supercomputer Center, which is part of the UAF Geophysical Institute, used math equations to make detailed numerical simulations, or high - resolution models, of under - ocean wave processes.

For the numerical simulation, the researchers constructed a «phase - field» model, which mathematically defined the phase transitions of the shell material.

Professor Claude - André Faucher - Giguère and his research group, along with collaborators from the FIRE («Feedback In Realistic Environments») project, which he co-leads, had developed sophisticated numerical simulations that produced realistic 3 - D models of galaxies, following a galaxy's formation from just after the Big Bang to the present day.

Laughlin's research interests focus on numerical simulations and modeling of data.

This session examined the biogeochemical processes that are likely to affect the evolution of the Earth system over the coming decades, with a focus on the dynamics of marine and terrestrial ecosystems and the development of improved understanding through (a) fieldwork and laboratory experiments, (b) development of new observational datasets, both modern and palaeo, and (c) simulations using numerical models.

Using a numerical model developed by the Max Planck Institute for Meteorology and the German Weather Service, the team created two simulations of convectional organization over a 312,000 - square - kilometer grid with 1 - kilometer spacing.

Here, we study the origins of biofilm genetic structure by combining model development, numerical simulations, and microfluidic experiments using the human pathogen Vibrio cholerae.

After running additional experiments on DNA folding, Erez contacted the Molecular Graphics Laboratory (MGL) at The Scripps Research Institute: Could they produce a 3 - dimensional model based on Miriam's numerical simulations?

As an application of our method, we examine thermal phase mixing in the context of Ginzburg - Landau models with short - range interac... ▽ More We show how to achieve lattice - spacing independent results in numerical simulations of finite - temperature stochastic scalar field theories.

Among the numerous star - planet interaction (SPI) models that have been developed, magnetohydrodynamic (MHD) simulations combine state of the art numerical models of cool star magnetospheres with simplified models of planets.

The models include a new wind braking law based on recent numerical simulations of magnetized stellar winds and specific dynamo and mass - loss prescriptions a... ▽ More We present new models for the rotational evolution of solar - like stars between 1 Myr and 10 Gyr with the aim to reproduce the distributions of rotational periods observed for star forming regions and young open clusters within this age range.

The models include a new wind braking law based on recent numerical simulations of magnetized stellar winds and specific dynamo and mass - loss prescriptions are adopted to tie angular momentum loss to angular velocity.

In addition, tidal forces affecting the Oort Cloud come from the differential gravitational forces exerted by stars in the Milky Way's galactic disk and by the galactic core on the Sun and comets as a result of their relative location in the Solar System, which have been modelled with numerical simulations (Duncan et al, 1987).

Traditional, bottom - up detector characterization methods provide one way to model underlying detector physics, and generate ever more faithful numerical simulations, but this approach is vulnerable to preconceptions and over-simplification.

Our research requires integrating data and methods from comparative genomics, molecular developmental genetics, as well as physical experiments, mathematical modelling and numerical simulations.

Gravity modeling and numerical simulations to constrain the internal structure and tectonic, volcanic, and thermal evolution of Mars, Venus, differentiated asteroids, and the Moon.

Then we optimized the reactor prototypes with flow modeling and numerical simulations and the resulting new reactor generation is what we showed in this research paper.

We are talking about very coarse numerical simulations with largely guessed inputs and a lot of missing physics, not blanket - bans of all poor models everywhere.

Dr. Dallas Kennedy has coined the phrase «uncontrolled numerical approximations» for all climate model simulations inconsistent with the observed climate and insufficiently scrutinized.

Type 2 dynamic downscaling refers to regional weather (or climate) simulations in which the regional model's initial atmospheric conditions are forgotten (i.e., the predictions do not depend on the specific initial conditions), but results still depend on the lateral boundary conditions from a global numerical weather prediction where initial observed atmospheric conditions are not yet forgotten, or are from a global reanalysis.

We illustrate the advantages of our method through theoretical results, simulation studies, temperature records in Paris and outputs from a numerical climate model.

With my background I ought to be focusing on poor modelling of fluid dynamics and convection, chaotic dynamics and the fudges involved in numerical simulations — like Chris Essex does.

• Calibrate the retrospective simulations of ice thickness from our numerical model against the aggregate of all the observation systems by removing the mean difference between the model and the observations to create a Calibrated Model Ice Thickness Remodel against the aggregate of all the observation systems by removing the mean difference between the model and the observations to create a Calibrated Model Ice Thickness Remodel and the observations to create a Calibrated Model Ice Thickness ReModel Ice Thickness Record.

Also the behaviour of our numerical simulations of the atmosphere would continue to be affected by the problems typical of model simulations of chaotic dynamical systems even if we could have perfect initial conditions, write perfectly accurate evolution equations and solve them with perfect numerical schemes, just because of the limited number of significant digits used by any computer (Lorenz, 1963).

JIGSAW (GEO) is a set of algorithms designed to generate complex, variable resolution unstructured meshes for geophysical modelling applications, including: global ocean and atmospheric simulation, numerical weather prediction, coastal ocean modelling and ice - sheet dynamics.

My work on numerical simulation is at the very forefront of computational fluid dynamic (cfd) modeling.

Airplanes and developed and designed using two - dimensional numerical models to simulate conditions whereas modern day numerical climate models are three - dimensional simulations.

Users of chemistry - climate models (CCMs) with particular focus on long - term numerical simulations using CCMs for the detailed investigation of model feedbacks between ozone chemistry, ozone depleting substance (ODS) trends, and climate.

Point two suggested an alternative between «This needs to be demonstrated either in the context of a more comprehensive scale analysis that includes the Navier Stokes equations» and «numerical model simulations using mesoscale or weather or climate models.»

Using a numerical model developed by the Max Planck Institute for Meteorology and the German Weather Service, the team created two simulations of convectional organization over a 312,000 - square - kilometer grid with 1 - kilometer spacing.

Researchers project future climate using climate models — computer - based numerical simulations that use the equations for fluid dynamics and energy transfer to represent atmospheric weather patterns and ocean circulation.

Throughout the next decade, many idealized numerical experiments demonstrated the capability of this model to produce a realistic hurricane structure, although it would not be until the 1980s that simulations would be attempted using data from real storms.

Climate models, numerical climate simulations, provide one way to estimate the climate response to forcings, but it is difficult to include realistically all real - world processes.

The only sane way the is diagnostic (checking if some global conservation laws are not broken by the model, — this can catch bugs and inadequacies of the numerical methods) and extensive validation (this catch inadequacies in modeling, which involves approximation and elimination of some factors, to obtain a tractable model, and is always present even for particle physics simulation, which directly use first principles (model an idealised version of an experiment).

These simulations can be used as a numerical laboratory in which we can test the reconstruction methods and assess their potential limitations, by pretending to derive proxy records of the model climate, called «pseudo-proxies».

Part II: Evaluation of numerical model simulations.

We analyze the data from the moorings and from the CTD using geophysical fluid dynamics, and compare results with simulations from numerical models.

Tags for this Online Resume: heat / mass transfer, fluid dynamics and magnetic hydrodynamics, phase transition, semiconductors, the optimisation of yield, mathematical models, crystal growth, numerical methods, simulations, data analysis, radiation heat exchange, FORTRAN, C, Two and three dimentional modeling, Evaluation and testing of software products, presentations and trainings, scientific paper writing