Resources (1-10 of 10)

1. A Pursuit of Geometry-Centric Solutions to Engineering Problems

   27 Apr 2017 | | Contributor(s):: Ganesh Subbarayan

   The main thesis of this talk is that a geometry-centric viewpoint during analysis of behavior is not only necessary to ensure the accuracy of the predicted shapes of boundaries and interfaces, but also enables efficient solution. Furthermore, I will demonstrate that an explicit parametric...

2. Illinois 2012: Aravind Alwan: Design and simulation of Microsystems

   02 May 2012 | | Contributor(s):: Aravind Alwan, Nadia Jassim

3. Machine Learning Predicts Additive Manufacturing Part Quality: Tutorial on Support Vector Regression

   26 Aug 2022 | | Contributor(s):: Davis McGregor

   This tutorial introduces and demonstrates the use of machine learning (ML) to address this need. Using data collected from an AM factory, you will train a support vector regression (SVR) model to predict the dimensions of AM parts based on the design geometry and manufacturing parameters.

4. On the Design of a Finite Element Multigrid Solver for Mimetic Finite Difference Schemes

   04 Feb 2016 | | Contributor(s):: Carmen Rodrigo

   The focus of this work is to study the relation between mimetic finite difference schemes on triangular grids and some finite element methods for two model problems based on curl-rot and grad-div operators. With this purpose, modified Nédélec and Raviart-Thomas finite element...

5. Pineapple Packaging Design Challenge

   29 Jun 2020 | | Contributor(s):: Amber Genau

   This activity asks students to work in teams to consider the pros and cons of different materials as a container for cut pineapple (metal can plastic jar, glass jar).  It reinforces the differences between different categories of material, weighing conflicting factors to reach a design...

6. sugarcube-cad

   18 Feb 2016 | | Contributor(s):: Jason Clark, Quincy Clark

   CAD for MEMS via systems of compact models. This commercial tool is published by Sugarcube Systems, which requires a registration fee to use. The nanoHUB does not receive revenue or assume liability for the use of this tool.

7. SVR Machine Learning Workshop

   05 Aug 2022 | | Contributor(s):: Davis McGregor

   Introductory tutorial on support vector regression (SVR) machine learning, cross validation, and hyperparameter tuning.

8. [Illinois] ECE 416 Introduction to Biosensors II

   03 Feb 2013 | | Contributor(s):: Brian Cunningham, George Daley

              In this lecture, we see how biosensors use transducers, devices that can translate presence of analyte into a physically measurable signal, to detect different analytes. The tranducers are chosen based off of the application...

9. [Illinois] Mechanical Design Considerations for Stretchable Cell Culture Systems

   07 Aug 2014 | | Contributor(s):: Chelsey Simmons

10. [Illinois] Rational Design of MegaDalton-Scale DNA-Based Light Harvesting Antennas

    27 Sep 2013 | | Contributor(s):: Mark Bathe

    Programmed self-assembly of DNA using scaffolded DNA origami offers the unique opportunity to engineer complex structural assemblies at the MegaDalton-scale with sub-nanometer precision. Due to their sequence specificity, these nucleic acid assemblies also serve as programmable structural...