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Industry Partner Tool Workshop Series
10 Apr 2024 |
This series of workshops introduces participants to commercial tools available to run in nanoHUB. All workshops include hands-on activities, where participants can follow along with experts as they demonstrate using the commercial tools.
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We can Simulate That: A Simulation Tool for Lithography Training
07 Dec 2023 | | Contributor(s):: Atilla Ozgur Cakmak, The Micro Nano Technology - Education Center
Dr. Cakmak will discuss how he employs simulation programs in his classes. This talk will specifically touch on his nanolithography simulation tool.
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Data Cleaning with MATLAB
12 Oct 2022 | | Contributor(s):: Kelsey Joy Rodgers
This workshop will go over MATLAB built-in functions (readcell and writecell) to import data from Excel and export data to Excel.
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MATLAB Training for Undergraduate Research Students
17 Aug 2022 | | Contributor(s):: Kelsey Joy Rodgers
nanoHUB is excited to bring you MATLAB Training for Undergraduate Research Students with your host Kelsey Rodgers. Kelsey will guide you through the many functionalities of MATLAB and how it can be used for both research and educational purposes.
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Optical MNIST dataset
21 Apr 2022 | | Contributor(s):: Hanyu Zheng
Rapid advances in deep learning have led to paradigm shifts in a number of fields, from medical image analysis to autonomous systems. These advances, however, have resulted in digital neural networks with large computational requirements, resulting in high energy consumption and limitations in...
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Machine Learning with MATLAB
11 Mar 2022 | | Contributor(s):: Gaby Arellano Bello
In this session, we explore the fundamentals of machine learning using MATLAB. We introduce machine learning techniques available in MATLAB to quickly explore your data, evaluate machine learning algorithms, compare the results and apply the best technique to your problem.
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Data Analysis with MATLAB
04 Mar 2022 | | Contributor(s):: Gen Sasaki
Learn how MATLAB can be used to visualize and analyze data, perform numerical computations, and develop algorithms. Through live demonstrations and examples, you will see how MATLAB can help you become more effective in your coursework as well as in research.
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MATLAB R2021a
09 Sep 2021 | | Contributor(s):: Gen Sasaki, Lisa Kempler
MATLAB is a programming and numeric computing platform to analyze data, develop algorithms, and create models.
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A Circuit-compatible SPICE Model for Phase-field Simulations of Multi-domain Ferroelectrics
17 May 2021 | | Contributor(s):: Chia-Sheng Hsu, Sou-Chi Chang, Dmitri Nikonov, Ian Alexander Young, Azad Naeemi
To describe the multi-domain FE switching dynamics, we present a circuit-compatible model that can solve the time-dependent Ginzburg-Landau (TDGL) equation and Poisson’s equation self-consistently in three-dimensional space with the SPICE simulator. In addition, the FE domain structures...
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Matlab Coding and Data Analysis in the Context of Radiation Hardening
01 Oct 2020 | | Contributor(s):: Amanda Johnston, Alejandro Strachan, Congying Wang, Adrian Nat Gentry, Zachary D McClure, Tamara J. Moore, Anne DeLion, Lukas Beebe Diehm, Zofia Marta Stawiarska
Learn Matlab coding within the context of Radiation Hardening problems.
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Matlab Data Analysis Using Jupyter Notebooks
24 Jul 2020 | | Contributor(s):: Jon Nykiel, Anna Leichty, Zachary D McClure, Alejandro Strachan, Aileen Ryan, Adrian Nat Gentry, Amanda Johnston, Tamara Jo Moore, Allen Garner, Peter Bermel
Use Jupyter Notebooks with a Matlab kernel running in the background for data analysis and intro to engineering homework problems
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Image Analysis Program for Quantifying Nanosphere Lithography Packing Defects
21 Jul 2020 | | Contributor(s):: Takara Truong, Roseanne Warren
This download resource provides MATLAB code files for scanning electron microscopy image analysis of nanosphere packing defects. The program enables users to estimate the total number of nanospheres in an image, the number of non-hexagonally close-packed (HCP) spheres, and the % of spheres...
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FeFET Memory Window Analytical Calculator
16 Dec 2019 | | Contributor(s):: Nicolo Zagni, Paolo Pavan, Muhammad A. Alam
This code computes the Memory Window of a FeFET by using the Landau-Devonshire theory. The aim of this code is to illustrate: the derivation of the switching conditions the trends of MW scaling with ferroelectric thickness the design constraints to guarantee hysteresis the effect of...
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Introduction to MATLAB - Jupyter Notebooks with Octave 4.2.0
14 Aug 2018 | | Contributor(s):: Abhishek K. Umrawal
Teaching material for "Introduction to MATLAB" a 40-hour workshop for Summer Undergraduate Research students organized by the Network for Computational Nanotechnology (NCN), Purdue University, IN.
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Suns-Vmp Method
04 Jun 2018 | | Contributor(s):: Xingshu Sun, Raghu Vamsi Krishna Chavali, Muhammad A. Alam
This package contains the Matlab scripts to perform the Suns-Vmp method. The code has been tested in Matlab R2016a.
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AIDA: A tool for exhaustive enumeration of solutions to the quantized Frank-Bilby equation
08 Jan 2018 | | Contributor(s):: Ali Sangghaleh, Michael J. Demkowicz
We present a tool called Arrangement of Interface Dislocation Arrays (AIDA) for enumerating all dislocation networks that satisfy the quantized Frank-Bilby equation for any interface between cubic crystals with a single-atom basis, i.e. FCC/FCC, BCC/BCC, and FCC/BCC interfaces. The set of...
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Hydrogel based Biochemical Sensors
08 Jul 2016 | | Contributor(s):: Piyush Dak, Muhammad A. Alam
This is MATLAB code for a Hydrogel based biochemical sensor: The sensor is composed of a hydrogel sandwiched between a rigid porous membrane and a deformable membrane. The hydrogel is pendent with the ionizable groups (with density, Nf and acid dissociation constant, Ka) which are...
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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.
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MSE 498 Lesson 4: bash and MATLAB
16 Mar 2015 | | Contributor(s):: Andrew Ferguson
This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite...
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MSE 498 Lesson 5: MATLAB
16 Mar 2015 | | Contributor(s):: Andrew Ferguson
This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite...