
Feb 25 2019
Software Productivity and Sustainability for CSE and Data Science
The SIAM CSE conference seeks to enable indepth technical discussions on a wide variety of major computational efforts on largescale problems in science and engineering, foster the...
http://nanohub.org/events/details/1738

Networked Dynamical Systems for Function and Learning: Paradigms for DataDriven Control and Learning in Neurosensory Systems
16 Jan 2019   Contributor(s):: J. Nathan Kutz
Our objective is to use emerging datadriven methods to extract the underlying engineering principles of cognitive capability, namely those that allow complex networks to learn and enact control and functionality in the robust manner observed in neurosensory systems. Mathematically, the...

DataDriven Discovery of Governing Equations of Physical Systems
16 Jan 2019   Contributor(s):: J. Nathan Kutz
We introduce a number of datadriven strategies for discovering nonlinear multiscale dynamical systems and their embeddings from data. We consider two canonical cases: (i) systems for which we have full measurements of the governing variables, and (ii) systems for which we have incomplete...

Myron DSilva
http://nanohub.org/members/182103

Quantifying Uncertainties in Physical Models
28 Aug 2017   Contributor(s):: Ilias Bilionis
Increasing modeling detail is not necessarily correlated with increasing predictive ability. Setting modeling and numerical discretization errors aside, the more detailed a model gets, the larger the number of parameters required to accurately specify its initial/boundary conditions, constitutive...

A Distributed Algorithm for Computing a Common Fixed Point of a Family of Paracontractions
21 Jun 2017   Contributor(s):: A. Stephen Morse
In this talk a distributed algorithm is described for finding a common fixed point of a family of m paracontractions assuming that such a common fixed point exists. The common fixed point is simultaneously computed by m agents assuming each agent knows only paracontraction, the current estimates...

ECE 695NS Lecture 3: Practical Assessment of Code Performance
25 Jan 2017   Contributor(s):: Peter Bermel
Outline:Time ScalingExamplesGeneral performance strategiesComputer architecturesMeasuring code speedReduce strengthMinimize array writesProfiling

ECE 695NS Lecture 2: Computability and NPhardness
13 Jan 2017   Contributor(s):: Peter Bermel
Outline:OverviewDefinitionsComputing MachinesChurchTuring ThesisPolynomial Time (Class P)Class NPNondeterministic Turing machinesReducibilityCookLevin theoremCoping with NP Hardness

Jupyter Notebooks for Scientific Programming
06 Jan 2017   Contributor(s):: Martin Hunt
An overview of using Jupyter Notebooks for conveying scientific information.

Machine learned approximations to Density Functional Theory Hamiltonians  Towards HighThroughput Screening of Electronic Structure and Transport in Materials
13 Dec 2016   Contributor(s):: Ganesh Krishna Hegde
We present results from our recent work on direct machine learning of DFT Hamiltonians. We show that approximating DFT Hamiltonians accurately by direct learning is feasible and compare them to existing semiempirical approaches to the problem. The technique we have proposed requires little...

Nikhil Chand Kashyap Chitta
http://nanohub.org/members/155131

High Accuracy Atomic Force Microscope with SelfOptimizing Scan Control
19 Sep 2016   Contributor(s):: Ryan (Youngkook) Yoo
Atomic force microscope (AFM) is a very useful instrument in characterizing nanoscale features, However, the original AFM design, based on piezotube scanner, had slow response and nonorthogonal behavior, inadequate to address the metrology needs of industrial applications: accuracy,...

Tian Qiu
Tian Qiu is a senior student at Purdue University, who is major in computer engineering and mathematics with computer science. He is from Wuhan China. Currently he is working with Prof. Lin,...
http://nanohub.org/members/145718

DataCentric Models for Multilevel Algorithms
07 Feb 2016   Contributor(s):: Samuel Guiterrez
Today, computational scientists must contend with a diverse set of supercomputer architectures that are capable of exposing unprecedented levels of parallelism and complexity. Effectively placing, moving, and operating on data residing in complex distributed memory hierarchies is quickly becoming...

Range Decomposition: A Low Communication Algorithm for Solving PDEs on Massively Parallel Machines
07 Feb 2016   Contributor(s):: Tom Manteuffel
The Range Decomposition (RD) algorithm uses nested iteration and adaptive mesh refinement locally before performing a global communication step. Only several such steps are observed to be necessary before reaching a solution within a small multiple of discretization error. The target application...

A Scalable Algorithm for Inverse Medium Problems with Multiple Sources
04 Feb 2016   Contributor(s):: Keith Kelly
We consider the problem of acoustic scattering as described by the freespace, timeharmonic scalar wave equation given by (0.1) along with radiation boundary conditions. Here, is a point in , is the source term, and is the wavenumber. Our formulation is based on potential theory....

Hao Zhuang
http://nanohub.org/members/105541

ECE 595E Lecture 36: MEEP Tutorial II
30 Apr 2013   Contributor(s):: Peter Bermel
Outline:Recap from MondayExamplesMultimode ring resonatorsIsolating individual resonancesKerr nonlinearitiesQuantifying thirdharmonic generation

Integrated Imaging Seminar Series
30 Apr 2013   Contributor(s):: Charles Addison Bouman
Integrated imaging seminar series is jointly sponsored by the Birck Nanotechnology Center and ECE. Integrated Imaging is defined as a crossdisciplinary field combining sensor science, information processing, and computer systems for the creation of novel imaging and sensing systems. In this...

ECE 595E Lecture 35: MEEP Tutorial I
18 Apr 2013   Contributor(s):: Peter Bermel
Outline:MEEP InterfacesMEEP ClassesTutorial examples:WaveguideBent waveguide