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SIMULATION

Simulation, Optimization, and Approximation

 

Hydrological simulation

Implementation of a hydrologic simulation model using parallel hardware (both CPU and GPU based).

 

Particle Simulation (Discrete Event)

Event driven molecular dynamics (EDMD) has become a recognized simulation method for granular materials. We are implementing a state-of-the-art simulator which handles carefully many of the difficulties one has to deal with to achieve an efficient and robust implementation. The simulator avoids particle overlap due to limited floating point precision, uses data structures to allow for large scale simulations, and is organized in its code to achieve a flexible framework which can be used in many different areas where an EDMD simulator is needed that guarantees overall good performance.

We have already a working application that incorporates many types of colliding objects (such as particles of different radii, planes, spheres, and cylinders), 2D and 3D simulation, real time visualization, and a large set of input/output operations.

Simulation results:

  • granular jet Perpendicular view of a simulation of a granular jet hitting a plane: the color code indicates absolute particle velocity from white=jet-velocity to red=slow-moving.
  • granular jet Oblique view of a simulation of a granular jet hitting a plane: the color code indicates absolute particle velocity from white=jet-velocity to red=slow-moving.
  • 10000k on plane 10000 particles falling on an inclined heated plane.

 

Particle Simulation (Direct Monte Carlo)

Direct simulation Monte Carlo (DSMC) is a standard method well suited to simulate large particle systems over long periods of time in order to obtain statistical information of the system especially for gases in the homogeneous cooling state.

We have implemented a working application that is capable of simulating a system of more than 100 Millions of particles on a standard PC.

 

Virtual laboratory for the Schrödinger equation

A simple Python-based open source software library for the numerical simulation of the linear or nonlinear time-dependent Schrödinger equation in one and two dimensions.

Open source code available at: https://github.com/pyNLSE/bpm

 

Simuladores e Inteligencias Artificiales Generativas

In the context of modern teaching in the area of Operting Systems, members of the research group have gathered valuable information combined with state-of-the-art tools to enhance both the teaching and the learning experience at university level.

Book: Simuladores e Inteligencias Artificiales Generativas en la Docencia de Sistemas Operativos.

 

Electromagnetic wave propagation

 


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