Tags: MATLAB

Description

Run MATLAB The MATLAB tool on nanoHUB gives you access to the full MATLAB desktop, including most toolboxes, Simulink®, and Simulink- based products (product list).

This tag is for general MATLAB related materials such as scripts, documentation, etc. The tag that is specific to the R2021a version of MATLAB that is available on nanoHUB is MATLAB Tool.

Online Presentations (1-11 of 11)

  1. Introduction to MATLAB on nanoHUB

    Online Presentations | 20 May 2024 | Contributor(s):: Paula Kirya

    In this workshop, you will gain hands-on MATLAB experience with nanoHUB's free MATLAB tool.

  2. We can Simulate That: A Simulation Tool for Lithography Training

    Online Presentations | 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.

  3. Data Cleaning with MATLAB

    Online Presentations | 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.

  4. MATLAB Training for Undergraduate Research Students

    Online Presentations | 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.

  5. Machine Learning with MATLAB

    Online Presentations | 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.

  6. Data Analysis with MATLAB

    Online Presentations | 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.

  7. MSE 498 Lesson 4: bash and MATLAB

    Online Presentations | 17 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...

  8. MSE 498 Lesson 5: MATLAB

    Online Presentations | 17 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...

  9. MSE 498 Lesson 9: DFT

    Online Presentations | 17 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...

  10. How to Make High Quality Plots in MATLAB

    Online Presentations | 17 Aug 2011 | Contributor(s):: Mehdi Salmani Jelodar

    This presentation is a tutorial for plotting higher quality figures by Matlab. Basic elements of plots are introduced and the way to manipulate these elements by coding is explained. Tow methods for dual axis plotting is described. At the end an approach to print figures automatically (by coding)...

  11. MATLAB DOs and DON'Ts

    Online Presentations | 14 May 2006 | Contributor(s):: Dmitri Nikonov

    Matlab is widely used for simulations but is believed to be unsuitable for complex projects and to produce slow-running software tools. The presentation argues that blind copying of methods typical of C and Fortran is responsible for such inefficiencies; the presentation teaches avoidance of...