Model order reduction is a pervasive and necessary activity in materials research. However, even though reduced order models are never perfect, their "imperfection" is almost never accounted for. In this talk, I will give an example of how the quality of an inference in materials research may be improved by accounting for the imperfection of a r...
Creator:
Demkowicz, Michael J (Massachusetts Institute of Technology)
Created:
2013-12-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We describe a novel approach to evaluate the performance of global atmospheric ensemble prediction systems. This approach is based on the observation that beyond a 2-3-day forecast time (i) the errors in the extratropics in a numerical weather prediction are dominated by synoptic scale structures (ii) the spatial error patterns in a 1000-km radi...
Creator:
Szunyogh, Istvan (Texas A & M University)
Created:
2013-03-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Motivated by the need to properly address near-term (i.e. interannual to interdecadal) climate prediction as an initial-value problem, intense interest has emerged on the development of data assimilation for coupled atmosphere--ocean global climate models. Basic research on this problem is challenging due to the large computational expense assoc...
Creator:
Hakim, Greg (University of Washington)
Created:
2013-11-18
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We are developing computational models to elucidate the injection, expansion, and dynamic filling process for polyurethane foam such as PMDI. The polyurethane is a chemically blown foam, where carbon dioxide is produced via reaction of water, the blowing agent, and isocyanate. In a competing reaction, the isocyanate reacts with polyol producing ...
Creator:
Rao, Rekha (Sandia National Laboratories)
Created:
2013-12-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Kriging response surfaces are now widely used to optimize design parameters in industrial applications where assessing a design's performance requires long computer simulations. The typical approach starts by running the computer simulations at points in an experiment design and then fitting kriging surfaces to the resulting data. One then proce...
Creator:
Jones, Donald R. (General Motors Company)
Created:
2011-06-02
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this presentation, we will discuss issues pertaining to the construction of prediction intervals in the presence of model biases or discrepancies. We will illustrate this in the context of models for smart material systems but the issues are relevant for a range of physical and biological models. In many cases, model discrepancies are neglect...
Creator:
Smith, Ralph (North Carolina State University)
Created:
2013-12-16
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this talk, I will discuss the dynamic programmingmethods forsimultaneously predicting secondary structure and alignmentfor twosequences. This approach was first suggested by Sankoff in1985.Recently, it has been implemented by several groups, usingone or moreheuristics to reduce the computational cost. Ourimplementation,Dynalign, finds the low...
Creator:
Mathews, David H. (University of Rochester)
Created:
2007-10-29
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Climate prediction may be defined as probabilistic forecasting of the state of the atmosphere-ocean system for lead times of a season or longer. Explicitly or implicitly, climate prediction forms the basis of all socio-economic planning, such as water resource allocation or insurance risk assessment. Climate prediction is carried out using dynam...
Creator:
Saravanan, Ramalingam (Texas A & M University)
Created:
2013-11-20
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.