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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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Sep 12 2022
Data Cleaning with MATLAB
Data Cleaning with MATLABInstead of cleaning your data cell by cell, did you know that MATLAB can simplify and automate your data cleaning tasks?Join us for a free data cleaning tutorial, where you...
https://nanohub.org/events/details/2228
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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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Feb 23 2022
nanoHUB Hands-On Workshop: Machine Learning with MATLAB
Abstract: Engineers and data scientists work with large amounts of data in a variety of formats such as sensor, image, video, telemetry, databases, and more. They use machine learning to find...
https://nanohub.org/events/details/2159
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Feb 16 2022
nanoHUB Hands-On Workshop: Data Analysis with MATLAB
Abstract: Do you find analyzing your data to be a painful process of cleansing and selecting data, running functions that don’t give you any indication of the output, and force you to keep...
https://nanohub.org/events/details/2158
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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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NITHILA JOFFY J PRK18NS008
https://nanohub.org/members/333058
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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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Mihir Gaglani
My encounter with Li-ion batteries happened during my Masters and I almost fall for it. I'm currently working as a battery modeling engineer at Nunam.A battery modeling engineer is quite a...
https://nanohub.org/members/320848
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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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Sebastian Rivas
https://nanohub.org/members/296706
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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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JZ SPIN
https://nanohub.org/members/278310
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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.