nanohubtechtalks

NanoHUB Jupyter Notebooksfor Research and Education

Blockchain and Proof of Work Lab

Chemistry and Materials with the Amsterdam Modeling Suite

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

Like Driving a Car: Acquiring Quality SEM/FESEM Images in Different Situations

Interactive Modeling of Materials with DFT Using Quantum ESPRESSO within the MIT Atomic ScaleToolkit

Gaussian Process Regression for Surface Interpolation

Introduction to a Basic Machine Learning Workflow for Predicting Materials Properties

Hands-on Teaching with Jupyter Notebooks on nanoHUB

ABACUS MOSFETs (Spring 2022)

MolSSI Python 6: Scientific Data Visualization using Python

Integrating Microelectronics into Classrooms: Thermo-Calc Online for the Design of Solder Materials

Message-Passing Neural Networks for Molecular Property Prediction Using Chemprop

ABACUS Band Structure Models (Spring 2022)

ABACUS PN Junctions (Spring 2022)

URE Experience - DFT Thermoelectric Calculations

URE Experience - LAMMPS Data File Generator Tool Demo

Manufacturing for a Sustainable Future

Machine Learning with MATLAB

Data Analysis with MATLAB

NACK - Novel Two-dimensional (2D) Materials and Devices for Biomimetic Sensing and Computing

NACK - Hands On(line) Lab Education with Remote SEM

NACK - Quick Overview of Top Down, and Botton up Manufacturing in Nanofabrication

nanoHUB.org: Immersive Online Semiconductor Education & Workforce Development with Academic Adoption

ABACUS Bipolar Junction Transistors (Winter 2021)

ABACUS Drift-Diffusion-Lab with Bias and Light (Winter 2021)

Thermo-Calc: Integrated Computational Materials Engineering in the Classroom

ABACUS Band Structure Models (Winter 2021)

ABACUS PN Junctions (Winter 2021)

Integrating Machine Learning with a Genetic Algorithm for Materials Exploration

ABACUS Overview and Crystal Structures (Winter 2021)

A Quick Demonstration of OOMMF on nanoHUB

Autonomous Neutron Diffraction Experiments with ANDiE

How to Create Projects on nanoHUB

Fusing Light With Heat: Polaritons for Nanoscale Thermal Transport & Sensing

dplyr, ggplot2 and Other tidyverse Friends: Modern Tools for Data Exploration and Visualization

Materials Simulation Toolkit for Machine Learning-MAST-ML: Models for Materials Property Prediction

Parsimonious Neural Networks Learn Interpretable Physical Laws

A Hands-on Introduction to Physics-informed Machine Learning

Gr-ResQ Tutorial II: Tool Demonstration and Training

FDNS21: Van der Waals Epitaxy of Atomically Thin Metal Oxide

FDNS21: Epitaxial Growth of Transition Metal Dichalcogenides – Wafer-scale Single Crystal Monolayers

FDNS21: Disorder and Defects in van der Waals Heterostructures

ECE Purdue Boltzmann Law Physics to Computers: Overview

ECE Purdue Boltzmann Law Physics to Computers L3.3: Transition Matrix - Sequential vs Simultaneous

ECE Purdue Boltzmann Law Physics to Computers L4.5: Quantum Boltzmann Law - Quantum Annealing

ECE Purdue Boltzmann Law Physics to Computers L5.5: Quantum Transition Matrix - Feynman Paths

ECEECE Purdue Boltzmann Law Physics to Computers L2.1: Boltzmann Machines - Sampling

ECE Purdue Boltzmann Law Physics to Computers L5.4: Quantum Transition Matrix - State Space

ECE Purdue Boltzmann Law Physics to Computers: Epilogue