Tags: materials science

All Categories (1-20 of 1012)

  1. Nov 11 2020

    Machine Learning Framework for Impurity Level Prediction in Semiconductors workshop

    Speaker: Dr. Arun Mannodi, Argonne National LaboratoryRegister NowThis series of workshops introduces participants to important concepts and techniques in data science and machine learning in the...

    https://nanohub.org/events/details/1875

  2. Jonathan Patricio

    https://nanohub.org/members/304315

  3. Oct 21 2020

    Hands-on Deep Learning for Materials Science: Convolutional Networks and Variational Autoencoders workshop

    Registration for this event is now closed. Thanks for your interest!This series of workshops introduces participants to important concepts and techniques in data science and machine learning in the...

    https://nanohub.org/events/details/1869

  4. Neural Networks for Regression and Classification

    01 Oct 2020 | | Contributor(s):: Saaketh Desai, Alejandro Strachan

    This module introduces neural networks for material science and engineering with hands-on online simulations. Neural networks are a subset of machine learning models used to learn mappings between inputs and outputs for a given dataset. Neural networks offer great flexibility and have shown great...

  5. Linear Regression Models

    01 Oct 2020 | | Contributor(s):: Michael N Sakano, Saaketh Desai, Alejandro Strachan

    This module introduces linear regression in the context of materials science and engineering.

  6. Active Learning for Design of Experiments

    30 Sep 2020 | | Contributor(s):: Alejandro Strachan, Juan Carlos Verduzco Gastelum

    This module introduces active learning in the context of materials discovery with hands-on online simulations.

  7. MATE 370 Virtual Lab: Exploring Nucleation, Crystallization, and Growth through nanoHUB Virtual Kinetics Tools

    24 Sep 2020 | | Contributor(s):: Mohsen B Kivy, Crystal Ipong

    This lab explores the kinetics of nucleation, crystallization, and growth processes using nanoHUB tools.

  8. MATE 370 Virtual Lab: Exploring Phase Transformations Through nanoHUB Nanomaterial Mechanics Explorer Tool

    24 Sep 2020 | | Contributor(s):: Mohsen B Kivy, Crystal Ipong

    This lab explores the kinetics of phase transformation using nanoHUB tools.

  9. MATE 370 Virtual Lab: Exploring Diffusion through nanoHUB Defect- coupled and Concentration-dependent Diffusion Tools

    24 Sep 2020 | | Contributor(s):: Mohsen B Kivy, Crystal Ipong

    This lab explores the kinetics of solid-state diffusion using nanoHUB tools.

  10. Linear Regression Young's modulus

    24 Sep 2020 | | Contributor(s):: Michael N Sakano, Saaketh Desai, Alejandro Strachan

    Use linear regression to extract Young's modulus and yield stress from stress-strain data

  11. Machine Learning in Materials - Center for Advanced Energy Studies and Idaho National Laboratory

    24 Sep 2020 | | Contributor(s):: Alejandro Strachan

    his hands-on tutorial will introduce participants to modern tools to manage, organize, and visualize data as well as machine learning techniques to extract information from it. ...

  12. nanoHUB: Online Simulation and Data

    24 Sep 2020 | | Contributor(s):: Alejandro Strachan

    These slides introduce nanoHUB, an open platform for online simulations and collaboration.

  13. Computational Labs in Kinetics of Materials and Process Design (California Polytechnic State University)

    07 Sep 2020 | | Contributor(s):: Mohsen B Kivy, Crystal Ipong

    Kinetics of Materials and Process Design (MATE 370) is a 4-unit major course for junior-year undergraduate students of the Materials Engineering Department, Cal Poly State University. The Materials Engineering Department endorses the applications of theory to practice through its...

  14. Molecular Dynamics Simulations for Propulsion Applications

    26 Aug 2020 | | Contributor(s):: Li Qiao

    In this talk, Prof. Qiao will discuss the use of molecular dynamics simulations to examine thermodynamics, transport properties, and fluid models of supercritical fuel systems.

  15. Data Analysis of Normal Data Sets in Engineering

    24 Jul 2020 | | Contributor(s):: Joseph Joshua Williams, Nancy Ruzycki

    Statistical and data analysis concepts in engineering

  16. Matlab Data Analysis Using Jupyter Notebooks

    24 Jul 2020 | | Contributor(s):: Jon Nykiel, Anna Leichty, Zachary D McClure, Alejandro Strachan, Aileen Ryan, Adrian Nat Gentry, Amanda Johnston, Tamara Jo Moore, Allen Garner, Peter Bermel

    Use Jupyter Notebooks with a Matlab kernel running in the background for data analysis and intro to engineering homework problems

  17. Jul 22 2020

    Webinar 1: Simulating electronic properties of materials using ab initio modeling tools

    Summer 2020 Webinar SeriesUtilizing nanoHUB Tools for Materials Science EducationMany instructors of MSE courses have rapidly developed online learning modules in response to the COVID-19 pandemic....

    https://nanohub.org/events/details/1858

  18. Aerogel (Aerogel)

    02 Jul 2020 | | Contributor(s):: Nano-Link Center for Nanotechnology Education, Carol E. Bouvier, James J Marti, Rodfal Alberto Rodriguez (editor), María Teresa Rivera (editor)

    Los aerogeles son las sustancias semisólidas conocidas más livianas que existen. Los aerogeles de sílice o dióxido de silicio (SiO2) tienen la misma estructura química que la arena de sílice o el vidrio de las ventanas, pero tienen diferencias...

  19. Materials Camp for High School Students

    01 Jul 2020 | | Contributor(s):: Amber Genau

    These activities were all developed for the Materials Camp program at the University of Alabama at Birmingham (UAB), which began in 2011. The camp is a five-day, non-residential program designed to introduce mostly local 10th-12th grade students to the field of materials engineering and the...

  20. Nano-celulosa (Nanocellulose)

    30 Jun 2020 | | Contributor(s):: Nano-Link Center for Nanotechnology Education, kim Grady, Rich Wilkosz (editor), Rodfal Alberto Rodriguez (editor), María Teresa Rivera (editor)

    Este módulo le presenta a los estudiantes la nanotecnología, procesos y métodos que están siendo desarrollados para producir nano-fibras de celulosa fuertes y rígidas.  El módulo está diseñado para guiar a los estudiantes a...