10:24

Latest Developments at chipshub and nanoHUB

04:19

nanoHUB - Your Solution to FAIR Data Challenges

48:19

Data-driven Materials Innovation: Where Machine Learning Meets Physics

29:32

Building a Graphical Interface for Exploring Protein Dynamics and Spectroscopy: PigmentHunter

56:24

DFT with SIESTA, Data Visualization, and a Sophomore-level CURE with the MIT Atomic-Scale Toolkit

54:45

Hands-On Workshop: Machine Learning Models for Ionic Conductivity with Schrödinger's AutoQSAR

55:27

An Introduction to Finite Element Analysis of Material Microstructure Properties in nanoHUB

31:06

ABACUS Tool Suite and MOSFETs (Fall 2023)

34:16

ABACUS Tool Suite and MOS Capacitors (Fall 2023)

37:18

ABACUS Tool Suite and Bipolar Junction Transistors (Fall 2023)

40:38

ABACUS Tool Suite and PN Junctions (Fall 2023)

51:10

Exploring the Nano World: Building Nanoscale Structures with Polymer Modeler

00:44

An Introduction to Finite Element Analysis of Material Microstructure Properties in nanoHUB

32:25

Modeling of P-N Junction Devices using Various Materials for Photovoltaic Applications

42:41

ABACUS Tool Suite and Bulk Semiconductors (Fall 2023)

44:29

ABACUS Tool Suite and Bandstructure and Band Models (Fall 2023)

41:14

ABACUS Tool Suite Overview and Crystal Structures (Fall 2023)

06:37

Exploring Chemistry Resources in nanoHUB

12:26

nanoHUB: Schatz Activities

34:08

NanoHUB Jupyter Notebooksfor Research and Education

01:36:00

Let's Talk Python: How to Explore Any Dataset in Python

44:47

Where Electricity and Light Meet: The Power of Infrared Spectroelectrochemical Techniques

55:41

Nanobiotechnology Workforce Training on a Shoe-String Budget

21:08

Blockchain and Proof of Work Lab

55:51

Chemistry and Materials with the Amsterdam Modeling Suite

58:19

A Guided Tour of Interactive Jupyter Notebooks Powered by nanoHUB

12:52

Overview of the nanoHUB App Publication Process

44:54

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

01:21:49

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

48:26

DNA Automation with Nano-Structured Ceramics

56:20

Standalone Stretchable Device Platform for Human Health Monitoring

58:30

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

01:02:28

NACK S10.2: X-ray Diffraction (XRD)

51:51

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

01:09:00

Density Functional Theory: Introduction and Applications

01:04:38

A Condensed Matter Physics class with the MIT Atomic-Scale Modeling Toolkit

01:03:07

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

01:46:34

NACK S04: Fabrication and Characterization of Nanostructures Using AFM

21:09

NACK S10.3: FTIR and and UV-Vis Spectroscopy Techniques

57:50

NACK S14.2: Transmission Electron Microscopy

32:57

NACK S15: Mirofluidics: Hands On and Computational Examples

45:53

NACK S14.1: Introduction of Transmission Electron Microscope

01:21:07

NACK S12: Fabricating a MEMS Pressure Sensor – You Can Do This!

01:20:15

NACK S13: Nano-Characterization and Nano-Fabrication using EB/IB Tools

01:47:38

NACK S01: Charged-Particle Interaction Analysis

01:31:24

NACK S06: Chemical Vapor Deposition 2 Modes, 1D, 2D

56:46

NACK S03: Thermal Evaporation

01:38:39

NACK S02: Vacuum Function, Operation and Systems

01:24:12

NACK S11: Plasma Technology, An Enabling Tool for Modern Manufacturing

53:35

NACK S16: NanoMedicine

01:51:49

NACK S07: Ion Implantation, Thermal Oxidation and Atomic Layer Deposition

01:07:04

NACK S15.1: Introduction to Microfluidics

31:43

NACK S08.1 Confocal Microscopy

35:01

NACK S08.2: Confocal Microscopy for Technicians

01:13:01

NACK - Properties of Nanomaterials

01:05:48

Microstructure Modeling with OOF2 and OOF3D

54:39

Machine Learning Predicts Additive Manufacturing Part Quality: Tutorial on Support Vector Regression

49:30

Teaching Electronic Structure Methods in Chemistry Using Simulation Tools in nanoHUB

48:15

Gaussian Process Regression for Surface Interpolation

01:19:15

Data Cleaning with MATLAB