nanoHUB.org - Resources: All

Transitioning into a sustainable future requires the identification of sustainable and functional materials with high performance. As the main component of wood, cellulose is the most abundant polymer on earth with many economic and environmental benefits. Cellulose provides a unique hierarchical...

Let's Talk Python: How to Program a Computer to do Anything!

24 Jan 2023 | Online Presentations | Contributor(s): Trinity Chung

This presentation is designed for the absolute beginner. If you have never coded in any language, or never been exposed to the Python language, or just want a refresher- please come! This is a great place to get started with coding. For those with some experience, this...

A New Perspective of Capacitive-Inductive Transition in Ferroelectrics

24 Jan 2023 | Papers | Contributor(s): deepalakshmi chandrasekaran

Ferroelectrics are like ferromagnetics in that the different areas of ferroelectrics get polarized in different directions based on the charge density and finally the net charge of the material, as a whole gives the resultant polarization in a particular direction. The negative permittivity...

Micromagnetic Simulation of Magnetic Nanowires (MNW) using OOMMF to Predict Heating Ability

11 Jan 2023 | Online Presentations | Contributor(s): Yicong Chen

Using the OOMMF simulation tool in nanoHUB, we will learn how to specify properties of the MNWs, such as their geometry and material and how these properties will affect their magnetic reversal behavior. For instance, we will use the graph function in OOMMF to observe the changes of hysteresis...

Adaptive Experimentation for Science: A More Efficient Version of Design of Experiments

05 Jan 2023 | Teaching Materials | Contributor(s): Sterling Baird, Taylor Sparks

GitHub Jupyter notebook tutorials: https://github.com/sparks-baird/self-driving-lab-demo/tree/main/notebooks/escience YouTube guided walkthroughs: https://youtu.be/Evua529dAgc

Ion Implantation, Thermal Oxidation and Atomic Layer Deposition

04 Jan 2023 | Online Presentations | Contributor(s): Atilla Ozgur Cakmak, Rich Hill, NACK Network

Optical Lithography

04 Jan 2023 | Online Presentations | Contributor(s): Atilla Ozgur Cakmak, Rich Hill, NACK Network

DNA Automation with Nano-Structured Ceramics

03 Jan 2023 | Online Presentations | Contributor(s): NACK Network

We will discuss how the use of nano-structured ceramic films enables the synthesis of hundreds of DNA genes in gram quantities overnight. Furthermore, we will describe how these nano-structured ceramics can be manufactured without the use of expensive, currently highly backlogged, nanofabs...

Teaching and Learning with the MIT Atomic Scale Modeling Toolkit's Classical and Quantum Atomic Modeling Applications

23 Dec 2022 | Online Presentations | Contributor(s): Enrique Guerrero

We will perform molecular dynamics computations using LAMMPS, simple Monte Carlo simulations including the Ising model, and run quantum chemistry and density functional theory computations.

Hybrid Quantum Photonic Circuits and Quantum Frequency Conversion

21 Dec 2022 | Online Presentations | Contributor(s): Hong X. Tang

In this talk, I will present our progresses in developing hybrid quantum photonics platform based on nonlinear materials and their interface with superconducting circuits for achieving efficient detection, generation, and manipulation of single photons as well as high fidelity quantum frequency...

Fractionalization of Charge and Statistics in Two Dimensions

14 Dec 2022 | Online Presentations | Contributor(s): Michael J. Manfra

This lecture will focus on the development of experiments that allow the first direct observation of anyonic braiding statistics in the fractional quantum Hall regime. The connection between development of new theoretical concepts and the behavior of a humble transistor will be emphasized.

Analyzing Correlation Structure in a Model of Neural Activity-Dependent Homeostatic Plasticity (ADHP)

13 Dec 2022 | Tools | Contributor(s): Stolting, Lindsay, Waldow, Grant Christian

Users can manipulate the parameters of an abstract model of ADHP and analyze the correlation structures that arise (or don't arise) as a result.