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SMMDS Lecture 3: Lagrangian Mechanics II
Online Presentations | 18 Jul 2024 | Contributor(s): Ming Chen
This lecture continues the discussion on Lagrangian Mechanics, including discussion on generalized coordinates and some examples.
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SMMDS Lecture 2: Lagrangian Mechanics I
Online Presentations | 17 Jul 2024 | Contributor(s): Ming Chen
This lecture introduce a different formulism of classical mechanics: Lagrangian mechanics. Lagrangian mechanics provides a systematic way to generate time evolution equations for a many-body system.
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J ATE URE Lesson: Writing an Effective Research Problem Statement
Teaching Materials | 17 Jul 2024 | Contributor(s): James Hewlett, J ATE: Journal of Advanced Technological Education
A problem statement is a concise and very specific summary of the research problem that you are addressing in your study. It should be written to communicate to the reader exactly what the rest of the manuscript will be focused on. Very often, it will appear in the introductory...
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SCALE PI Symposium 2024: SCALE KSAs & Certifications
Online Presentations | 16 Jul 2024 | Contributor(s): Maria Oliveri
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SNAPgenDFT
Tools | 11 Jul 2024 | Contributor(s): Brian Hyun-jong Lee, Stephen Brice Rider, Sabria Kionna Nesmith
This tool generates training data for SNAP potential
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SMMDS Lecture 8: Molecular Dynamics Simulation - Coulomb Interaction and Ewald Summation
Online Presentations | 10 Jul 2024 | Contributor(s): Ming Chen
This lecture introduce the detailed methods of calculating Coulomb interactions and the Ewald summation method.
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Crafting the Minuscule: Join UNM's Undergraduate Micro Fabrication Experience
Online Presentations | 10 Jul 2024 | Contributor(s): Matthias Pleil, The Micro Nano Technology - Education Center
Learn more about the summer cleanroom experience at the University of New Mexico.
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Online Simulations for Optical Applications
Online Presentations | 10 Jul 2024 | Contributor(s): Atilla Ozgur Cakmak, The Micro Nano Technology - Education Center
Dr. Cakmak will introduce two main optical simulation tools (MEEP and S4) in order to illustratively understand the outcome of the light matter interactions.
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Introduction to Python Programming
Online Presentations | 10 Jul 2024 | Contributor(s): Ashley Ringer McDonald, Jessica Nash, The Micro Nano Technology - Education Center
In this tutorial, students will be introduced to basic python programming skills which are useful in data analysis and machine learning applications.
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Developing CUREs for Antibody Engineering
Online Presentations | 03 Jul 2024 | Contributor(s): sandra porter, The Micro Nano Technology - Education Center
This presentation will discuss some of the projects we’re tackling this summer and some of our previous results.
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ReCT K2 Rethinking Circle Time Curriculum
Series | 27 Jun 2024 | Contributor(s): Anne Ottenbreit-Leftwich
This curriculum was designed to integrate computational thinking into K-2 literacy activities.
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nanoHUB-U Mathematics of Waves L1.4: More Oscillator Examples
Online Presentations | 26 Jun 2024 | Contributor(s): Supriyo Datta
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nanoHUB-U Mathematics of Waves L1.3: Oscillatory Response
Online Presentations | 26 Jun 2024 | Contributor(s): Supriyo Datta
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nanoHUB-U Mathematics of Waves L1.2: Exponential Response
Online Presentations | 26 Jun 2024 | Contributor(s): Supriyo Datta
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nanoHUB-U Mathematics of Waves L1.1: Math and the Physical World
Online Presentations | 26 Jun 2024 | Contributor(s): Supriyo Datta
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nanoHUB-U Mathematics of Waves L2.2: Normal Modes
Online Presentations | 26 Jun 2024 | Contributor(s): Supriyo Datta
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nanoHUB-U Mathematics of Waves L2.1: Oscillators to Waves
Online Presentations | 26 Jun 2024 | Contributor(s): Supriyo Datta
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nanoHUB-U Mathematics of Waves L1.6: Sinusoidal Excitation
Online Presentations | 26 Jun 2024 | Contributor(s): Supriyo Datta
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nanoHUB-U Mathematics of Waves L1.5: Impulse Excitation
Online Presentations | 26 Jun 2024 | Contributor(s): Supriyo Datta
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nanoHUB-U: Mathematics of Waves - Visualized with Neural Networks
Courses | 26 Jun 2024 | Contributor(s): Supriyo Datta
All around us, information is carried by waves of many kinds, like acoustic, electromagnetic, gravitational or probability waves. Presented is a unifying view of all wave phenomena using neural networks to visualize the underlying mathematics.