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Discrete Nonlinear Optimization: Modeling and Solutions via Novel Hardware and Decomposition Algorithms
07 Feb 2024 | | Contributor(s):: David E. Bernal Neira
Optimization problems arise in different areas of Logistics, Manufacturing, Process Systems Engineering (PSE), and Energy Systems Engineering, and solving these problems efficiently is essential for addressing important industrial applications.Quantum computers have the potential to efficiently...
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David E. Bernal Neira
David E. Bernal Neiraisan Assistant Professor at the Davidson School of Chemical Engineering and a visiting Scientists in quantum computing at the Quantum Artificial Intelligence Laboratory at NASA...
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Simulation Tools for Optimizing the Electrode Geometry of an In-Plane Unimorph Piezoelectric Microactuator
05 Oct 2023 | | Contributor(s):: Parker Megginson, Wesley Lowman, Jason Clark, Ryan Clarson
This resource is intended to help piezoelectric unimorph designers in determining the ideal electrode width ratio for a given layer thickness. The reasoning behind the simulations and results are shown in a publication titled "Optimizing the Electrode Geometry of an In-Plane Unimorph...
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Batch Reification Fusion Optimization (BAREFOOT) Framework
09 Jun 2021 | | Contributor(s):: Richard Couperthwaite
This tutorial will present the fundamentals of multi-fidelity fusion as well as Sequential and Batch Bayesian Optimization as possible optimization approaches that can be integrated with high accuracy computational models or experimental procedures to speed up the optimization or design of...
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A Batch Reification/Fusion Optimization Framework for Bayesian-based Material Optimization
27 Apr 2021 | | Contributor(s):: Richard Couperthwaite, Raymundo Arroyave
This tool is a Bayesian optimization framework that allows for a combination of a multi-fidelity (Reification/Fusion) optimization approach with a Batch Bayesian Approach.
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Interactive Learning Tools for Scientific Computing and Data Analysis Using R
29 Jul 2020 | | Contributor(s):: Cindy Nguyen, Rei Sanchez-Arias
Root-finding methods and numerical optimization techniques with applications in science, engineering, and data analysis
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Stanley H. Chan
Stanley H. Chan is currently an assistant professor in the School of Electrical and Computer Engineering and the Department of Statistics at Purdue University.Dr. Chan received the Ph.D. degree in...
https://nanohub.org/members/275407
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Process Optimization of Graphene Growth
24 Jul 2017 | | Contributor(s):: Atharva Hans, Ilias Bilionis, Timothy S Fisher, Majed Abdullah Alrefae, Nimish M Awalgaonkar, Piyush Pandita
Optimizes the growth of graphene in a plasma chemical vapor deposition (CVD) system.
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A Distributed Algorithm for Computing a Common Fixed Point of a Family of Paracontractions
30 May 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...
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Jogender Nagar
Jogender Nagar received the B.S. degree in electrical and computer engineering from the Ohio State University in 2008 and the M.S. from Johns Hopkins in electrical and computer engineering in 2011....
https://nanohub.org/members/172223
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Battery Optimization
27 Jul 2016 | | Contributor(s):: Lefei Zhang, Guang Lin, Salar Safarkhani
Tool for modeling Porous Lithium-Ion Batteries for optimization and uncertainty quantification.
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Stochastic Multi-Objective Optimization Tool
29 Jun 2016 | | Contributor(s):: Juan Sebastian Martinez, Martin Figura, Ilias Bilionis, Piyush Pandita, Rohit Kaushal Tripathy
Perform multi-objective optimization for limited observations of expensive experiments
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Nikhil K
https://nanohub.org/members/127261
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Cluster Optimization BGO 01
29 Jul 2015 | | Contributor(s):: Ilias Bilionis, Yinuo Li
Cluster Optimization Using Bayesian Global Optimization
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Piyush Pandita
https://nanohub.org/members/122779
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Austin Iglesias Saragih
Austin Saragih is an undergraduate student studying Industrial Engineering at Purdue University. He is a 2013 NCN Summer Undergraduate Research Fellow.
https://nanohub.org/members/82369
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Genetic algorithm
29 Jul 2011 | | Contributor(s):: Yongxin Yao
A simple cut-paste-mutation genetic evolution method
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Jocelyn Teresia Dunn
My desire to have a positive impact on society encouraged me to obtain a Master's degree in Biomedical Engineering at Purdue. While working on my thesis focused on Tissue Engineering and...
https://nanohub.org/members/53042
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Nanoelectronic Modeling Lecture 40: Performance Limitations of Graphene Nanoribbon Tunneling FETS due to Line Edge Roughness
08 Jul 2010 | | Contributor(s):: Gerhard Klimeck, Mathieu Luisier
This presentation the effects of line edge roughness on graphene nano ribbon (GNR) transitors..Learning Objectives:GNR TFET Simulation pz Tight-Binding Orbital Model 3D Schrödinger-Poisson Solver Device Simulation Structure Optimization (Doping, Lg, VDD) LER => Localized Band Gap States LER =>...
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Mehdi Salmani Jelodar
Mehdi Salmani Jelodar received his BSc in Computer Engineering from Iran University of Science and Technology (IUST), Tehran, Iran; in 2003. His final project was on employing Morphological...
https://nanohub.org/members/32926