First-principles codes can nowadays provide hundreds of high-fidelity enthalpies on thousands of alloy systems with a modest investment of a few tens of millions of CPU hours. But a mere database of enthalpies provides only the starting point for uncovering the 'alloy genome.' What one needs to fundamentally change alloy discovery and design are...
Creator:
Hart, Gus (Brigham Young University)
Created:
2012-09-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Graph Laplacians encode geometric information contained in data, via the eigenfunctions associated with their small eigenvalues. These spectral properties provide powerful tools in data clustering and data classification. When a large number of data points are available one may consider continuum limits of the graph Laplacian, both to give insig...
Creator:
Hoffmann, Franca (California Institute of Technology)
Created:
2020-09-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Cover Tree with Friends is the fastest-known way to solve nearest-neighbors of pointclouds in Euclidean space, and they also allow fast approximations of the persistent homology of large data sets. By extending the notion of Friends, we developed CDER, a new method for supervised learning of labelled pointclouds in Euclidean space. It is a deter...
Creator:
Smith, Abraham (University of Wisconsin-Stout)
Created:
2017-05-02
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This talk will highlight recent work in our group in which we use Diffusion Monte Carlo approaches to study molecular vibrations of several fluxional systems. The molecular systems that will be the focus of the talk will be CH5+ and ion-water complexes. For these studies, we focus on two approaches. The first involves a fixed-node treatment of r...
Creator:
McCoy, Anne B. (The Ohio State University)
Created:
2009-01-12
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
An expression graph, informally speaking, represents a function in away that cam be manipulated to reveal various kinds of informationabout the function, such as its value or partial derivatives atspecified arguments and bounds thereon in specified regions. (Variousrepresentations are possible, and all are equivalent in complexity, inthat one ca...
Creator:
Gay, David M. (Sandia National Laboratories)
Created:
2008-11-19
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Random walk on a graph is a Markov chain and thus is €˜memoryless' as the next node to visit depends only on the current node and not on the sequence of events thatpreceded it. With these properties, random walk and its many variations have been used in network routing to €˜randomize' the trafï¬ c pattern and hide the location of the data source...
Creator:
Gao, Jie (State University of New York, Stony Brook (SUNY))
Created:
2013-10-29
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
While implementations of infeasible interior-point methods remain the state-of-the-art in nonlinear programming, there are serious limitations in their use within the framework of MINLP due to lack of warm-start and infeasibility detection capabilities. We present a primal-dual penalty approach that allows interior-point methods to have such cap...
Creator:
Benson, Hande Yurttan (Drexel University)
Created:
2008-11-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
When a moving object is imaged with conventional synthetic aperture radar (SAR) the result is a displaced smear. This is due tothe extra information the objectmotion is imparting to the radar return. When a sensor collects data from a moving extended object,estimation of the direction vectors from the object to the sensor is often essential to t...
Creator:
Stuff, Mark A. (General Dynamics Advanced Information Systems)
Created:
2005-10-18
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
What do Microsoft, Genentech, Google, Securian, Target, and Ernst & Young have in common? All these companies (and many more) have used LinkedIn to recruit candidates for employment. Kay Luo, Director of Corporate Communications at LinkedIn, explains why, 'The main reason that companies are using LinkedIn is to find passive job candidates. Anoth...
Creator:
Kaltved, Darren (University of Minnesota, Twin Cities)
Created:
2011-03-04
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
After presenting some (personal) history of Macaulay/Macaulay2, we will use Macaulay2 to investigate a couple of problems, the first one being: what kinds of invariants (e.g. regularity, graded Betti numbers) are possible for ideals generated by small numbers of quadrics. This is a good problem to see some of what can be done with Macaulay2 and ...
Creator:
Stillman, Michael (Cornell University)
Created:
2019-07-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Can mathematics be used to empower a community? How does abiostatistician transfer math skills to work in thegovernment and non-profit sectors? How is statistics reallyused in the field of public health? During this talk I willshare highlights of my journey from studying mathematics toworking in a city health department and for a non-profit that...
Creator:
Moore, Tanya (Building Diversity in Science)
Created:
2009-04-04
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
As environmental data sets increase in spatial and temporal extent with the advent of new remote sensing platforms and long-term monitoring networks, there is increasing interest in forecasting processes to utilize this information. Such forecasts require realistic initial conditions over complete spatial domains. Typically, data sources are inc...
Creator:
Wikle, Chris (University of Missouri)
Created:
2013-03-12
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
RNA 3D structure files contain essentially complete information about the interactions that form the 3D structure of an RNA molecule for a given organism. Homologous molecules in other organisms will have very similar 3D structures, but we expect to see sequence variability due to structurally neutral base substitutions, insertions, and deletion...
Creator:
Zirbel, Craig L. (Bowling Green State University)
Created:
2007-10-31
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
With access to large datasets, deep neural networks (DNN) have achieved human-level accuracy in image and speech recognition tasks. However, in chemistry, data is inherently small and fragmented. In this work, we develop various approaches of using rule-based models and physics-based simulations to train ChemNet, a transferable and generalizable...
Creator:
Goh, Garrett (Pacific Northwest National Laboratory)
Created:
2018-03-08
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
I will describe work on three areas related to crowd-based user-centered modeling:1) Growing Lists: We want to combining the knowledge of many people (experts) in order to create 'sets' of things that go together, starting from a small seed. The experts have varying levels of expertise. This is the same problem that Google Sets was designed to s...
Creator:
Rudin, Cynthia (Massachusetts Institute of Technology)
Created:
2012-05-10
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Topological methods have been mostly used to study the action of enzymes and properties of naked DNA molecules. However topology can also be used to study chromosome organization. In this talk I will present three problems in which topology can be used to study complex organization of DNA.First I will present the problem of DNA knotting in bacte...
Creator:
Arsuaga, F. Javier (San Francisco State University)
Created:
2010-04-09
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The formation and shedding of fluid vortices is an inevitable consequenceof movement for all but the smallest of swimming and flying organisms. Cananimals use these vortices to enhance locomotion? If so, can their methodsof vortex-enhanced propulsion be translated to engineered systems? Thistalk will describe experimental studies of jellyfish an...
Creator:
Dabiri, John O. (California Institute of Technology)
Created:
2010-06-02
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.