Events for 03/29/2023 from all calendars

Mathematics in Geosciences

Time: 11:00AM - 12:00PM

Location: BLOC 628

Speaker: Ramalingam Saravanan, Texas A&M University, Department of Atmospheric Sciences

Title: Climate modeling for mathematicians

Abstract: One of the great societal challenges we face today is dealing with climate change. To deal with it, we need predictions of how climate is likely to change in the future. We use scientific models of the climate system to make these predictions. These models were created in the mid-twentieth century for the purpose of making weather forecasts. Initially, these models used simple mathematical equations to describe the basic physics of the atmosphere. Now these models have become much more complex, including other components such as vegetation, ocean and ice, extending into other sciences such as chemistry and biology. This talk will present an overview of how climate models came to be built and how they are used currently.

Faculty Meeting

Time: 4:00PM - 5:00PM

Location: Bloc 117

AMUSE

Time: 6:00PM - 7:00PM

Location: BLOC 306

Speaker: Tung Nguyen, Texas A&M University

Title: Network and dynamics in biochemical reaction systems

Abstract: Reaction networks are widely used to model many complex systems such as chemical reactions, protein interactions, and epidemic diseases. A reaction network model consists of two components: the network/graph (with vertices and edges) which describe qualitatively the interactions of the species or chemicals of interest, and the associated dynamical systems (for example a system of differential equations, or a Markov process) which describe quantitatively the time evolution of chemical concentrations or species abundances. Often time these dynamical systems have many variables and parameters and are very challenging to analyze. However, there are cases when the properties of the underlying network, which are easy to check, can provide valuable information about the dynamics of the associated systems. In this talk, I will describe reaction networks and the associated dynamical systems, and show you some instances when we can establish useful connections between properties of the network and properties of the dynamical systems.