Date of the Event: January 31, 2025
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Jose Castillo, San Diego State University ABSTRACT: MOLE is an open-source library that implements high-order mimetic operators. It provides discrete analogs of the most common vector calculus operators: divergence, gradient, curl, and Laplacian. These operators act on functions discretized over staggered grids (uniform, nonuniform, and curvilinear), and they […]
2025
Spring 2025
Date of the Event: December 6, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Valeria Barra, San Diego State University ABSTRACT: In this talk, we present different approaches and methodologies for the numerical solutions of Partial Differential Equations (PDEs) for applications arising mainly in Computational Fluid Dynamics (CFD) at different scales. Starting from problems emerging in the context of thin films and […]
2024
Fall 2024
Date of the Event: November 22, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Santosh KC, San Diego State University ABSTRACT: Computational Materials Modeling and Simulation including Density Functional Theory (DFT) and Molecular Dynamics (MD) has emerged as an indispensable tool in computational materials science, enabling the design, prediction and overall understanding of material’s structure-properties at the atomic scale. This talk provides […]
2024
Fall 2024
Date of the Event: November 15, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Dr. Ann Almgren,Lawrence Berkeley National Laboratory ABSTRACT: Adaptive mesh refinement (AMR) is a technique we use as a numerical microscope to zoom in on areas of interest in a computer simulation. With more resolution we get more accurate answers and can see in more detail what is happening […]
2024
Fall 2024
Date of the Event: November 8, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Efstathios Charalampidis, Department of Mathematics and Statistics, CSRC ABSTRACT: Complex systems are ubiquitous in nature and human-designed environments. The overarching goal of our research is to leverage advanced computational methods with fundamental theoretical analysis to model the nonlinear behavior of systems that are not otherwise amenable to integrable systems […]
2024
Fall 2024
Date of the Event: November 1, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Jared Brzenski, San Diego State University ABSTRACT: I will be presenting an implementation for solving Navier-Stokes equations using mimetic difference operators in building an ocean model. Mimetic operators can be constructed to high orders of accuracy and maintain the physical properties of the problems under consideration. I […]
2024
Fall 2024
Date of the Event: October 25, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Dr. Anjana Pokharel, Tribhuvan University, Nepal ABSTRACT: Despite the availability of vaccines, measles continues to cause outbreaks worldwide. For example, in Nepal, even with the implementation of the National Immunization Program, measles remains a leading cause of child morbidity and mortality. Potential causes for frequent measles outbreaks hampering […]
2024
Fall 2024
Date of the Event: October 11, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Anand Srinivasan, San Diego State University ABSTRACT: The modeling of the subgrid scale stress tensor closure term for turbulent flows is a challenge and is an area of active research. The underlying partial differential equations for turbulent flows contain nonlinear convective terms which can lead to aliasing errors, […]
2024
Fall 2024
Date of the Event: October 4, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Pavel Popov ABSTRACT: This work tackles the problem of fast estimation of a function whose direct evaluation is computationally costly. In an application such as simulation of reactive flow, can be the composition and temperature at a point, and is the increment of that composition after a single […]
2024
Fall 2024
Date of the Event: September 6, 2024
TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Sara Adibi ABSTRACT: This presentation focuses on the computational design of next-generation damage-tolerant materials using Molecular Dynamics (MD) simulations. By leveraging MD simulations, we can model and predict material behavior at the atomic level, allowing for the design of materials with enhanced properties. I will present two key […]
2024
Fall 2024