Upcoming ICES Eventshttps://www.ices.utexas.edu/Updates on upcoming ICES Events for www.ices.utexas.edu.en-usThu, 05 Apr 2018 00:00:00 -0500Computational Challenges of Inverse Problemshttp://www.ices.utexas.edu/about/events/1239/
<p>Inverse problems are omnipresent in many scientific fields such as systems biology, engineering, medical imaging, and geophysics. The main challenges toward obtaining meaningful real-time solutions to large, data-intensive inverse problems are ill-posedness of the problem, large parameter dimensions, and/or complex model constraints. This talk discusses computational challenges of inverse problems... <a href="/about/events/1239/">Read more.</a>
Thu, 22 Feb 2018 00:00:00 -0600http://www.ices.utexas.edu/about/events/1239/A Stochastic Operator Approach to Representing Model Inadequacyhttp://www.ices.utexas.edu/about/events/1243/
<p>Models are imperfect representations of complex physical processes. Representing the uncertainties caused by using inadequate models is crucial to making reliable predictions. We present a model inadequacy representation in the form of a stochastic operator acting on the state variable and discuss methods of incorporating prior knowledge of model shortcomings... <a href="/about/events/1243/">Read more.</a>
Fri, 23 Feb 2018 00:00:00 -0600http://www.ices.utexas.edu/about/events/1243/Geometric Methods for the Approximation of High-dimensional Dynamical Systemshttp://www.ices.utexas.edu/about/events/1233/
<p>We discuss geometry-based statistical learning techniques for performing model reduction and modeling of certain classes of stochastic high-dimensional dynamical systems. We consider two complementary settings. In the first one, we are given long trajectories of a system, e.g. from molecular dynamics, and we estimate, in a robust fashion, an effective... <a href="/about/events/1233/">Read more.</a>
Thu, 01 Mar 2018 00:00:00 -0600http://www.ices.utexas.edu/about/events/1233/Goal-Adaptive Moment Hierarchies for the Boltzmann equationhttp://www.ices.utexas.edu/about/events/1252/
<p>In this presentation we consider a numerical approximation technique for the Boltzmann equation based on a moment-system approximation in velocity dependence and a discontinuous Galerkin (DG) finite-element approximation in position dependence. The closure relation for the moment systems derives from the minimization of a suitable divergence. This divergence-based closure yields... <a href="/about/events/1252/">Read more.</a>
Tue, 06 Mar 2018 00:00:00 -0600http://www.ices.utexas.edu/about/events/1252/A near-wall model for large eddy simulations of turbulent flowshttp://www.ices.utexas.edu/about/events/1253/
<p>Turbulence is a complex fluid phenomenon that is ubiquitous in high Reynolds number flows. One of the biggest challenges in understanding turbulence lies in computational modeling. This challenge stems from the fact that turbulence is comprised of a wide range of scales that interact with each other. The problem is... <a href="/about/events/1253/">Read more.</a>
Fri, 09 Mar 2018 00:00:00 -0600http://www.ices.utexas.edu/about/events/1253/The packaging of chromosome, a phase separation perspectivehttp://www.ices.utexas.edu/about/events/1251/
<p>Spatial organization of DNA into chromosomes, which can be characterized by cell-specific interactions between local or long range segments, is thought to contribute to controlling and regulating essential nuclear functions in cells, but is only partially understood. In this talk, we describe a multi-scale approach that has been applied to... <a href="/about/events/1251/">Read more.</a>
Fri, 16 Mar 2018 00:00:00 -0500http://www.ices.utexas.edu/about/events/1251/A Kinetic Description of Morphing Continuum: The zeroth and first order approximationhttp://www.ices.utexas.edu/about/events/1244/
<p>The coupling between the intrinsic angular momentum and the hydrodynamic linear momentum has been known to be prominent in fluid flows involving physics across multiple length and time scales, e.g. turbulence, nonequilibrium flows and flows at micro-/nano-scale. Since the classical Navier-Stokes equations and Boltzmann’s kinetic theory are derived on the... <a href="/about/events/1244/">Read more.</a>
Thu, 29 Mar 2018 00:00:00 -0500http://www.ices.utexas.edu/about/events/1244/An Efficient Sequential Optimal Transport method for Bayesian inverse problemshttp://www.ices.utexas.edu/about/events/1255/
<p>We present the Sequential Ensemble Transform (SET) method for generating approximate samples from a posterior distribution as a solution to Bayesian inverse problems. The method explores the posterior by solving a sequence of discrete, linear optimal transport problems, resulting in a series of transport maps which map prior samples to... <a href="/about/events/1255/">Read more.</a>
Fri, 30 Mar 2018 00:00:00 -0500http://www.ices.utexas.edu/about/events/1255/Modeling, simulations an experiments in light filamentationhttp://www.ices.utexas.edu/about/events/1254/
<p>Since the first observation of a nonlinear process in light matter interaction, more powerful lasers have opened new ways to explore nonlinear phenomena, including intense light filament propagation in the atmosphere. Motivated by experiments and applications, in this talk I will present a brief overview of the basic principles leading... <a href="/about/events/1254/">Read more.</a>
Tue, 03 Apr 2018 00:00:00 -0500http://www.ices.utexas.edu/about/events/1254/Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantificationhttp://www.ices.utexas.edu/about/events/1242/
<p>We are interested in the development of surrogate models for uncertainty quantification and propagation in problems governed by stochastic PDEs using a deep convolutional encoder-decoder network in a similar fashion to approaches considered in deep learning for image-to-image regression tasks. Since normal neural networks are data intensive and cannot provide... <a href="/about/events/1242/">Read more.</a>
Thu, 05 Apr 2018 00:00:00 -0500http://www.ices.utexas.edu/about/events/1242/