Tags: materials science

Description

Materials science is the understanding and application of properties of matter. Materials science studies the connections between the structure of a material, its properties, methods of processing and performance for given applications.

Please see the nanoHUB Group Materials Science for highlighted materials science related items.

For educators please see the nanoHUB group MSE Instructional Exchange

For the latest tools that combine materials science with machine learning and data science see the nanoHUB group Data Science and Machine Learning

All Categories (1-20 of 1181)

  1. "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans: Going Atomic

    15 Nov 2020 | | Contributor(s):: Rachel Altovar, Susan P Gentry

    Expanding on the pre-existing resource on nanoHUB: “Turning Fruit Juice into Graphene Quantum Dots” this resource expands on the concepts in the experimental guide to give a comprehensive overview of materials pertaining to concepts and ideas within the...

  2. Dec 07 2015

    10th Symposium on Advanced Materials Science and Nanotechnology (SCiMAN10)

    SCiMAN10 will be the tenth annual symposium organized by the Programa Institucional en Ciencia e Ingeniería de Materiales, PICIMA (Materials Science and Engineering Institutional...

    https://nanohub.org/events/details/1392

  3. 1D finite element analysis ME 323

    19 Mar 2018 | | Contributor(s):: Peter Kolis, Marisol Koslowski

    Mechanics of Materials using Jupyter Notebooks

  4. 2-D Diffusion Game

    28 Sep 2015 | | Contributor(s):: Tam Mayeshiba

    Play a 2-D diffusion game

  5. 2005 Molecular Conduction and Sensors Workshop

    27 Jul 2005 |

    This is the 3rd in a series of annual workshops on Molecular Conduction. The prior workshops have been at Purdue University, W. Lafayette, IN (2003) and Nothwestern University, Evanston, IL (2004). The workshop has been an informal and open venue for discussing new results, key challenges, and...

  6. Jul 12 2010

    2010 NCN@Purdue Summer School: Electronics from the Bottom Up

    This year’s summer school will have two components: a focus on nanoelectronic devices, with an introduction to spintronics and, second, tutorials on selected topics in nanotechnology. First, we use...

    https://nanohub.org/events/details/270

  7. 2010 NCN@Purdue Summer School: Electronics from the Bottom Up

    20 Apr 2010 |

    Electronics from the Bottom Up seeks to bring a new perspective to electronic devices – one that is designed to help realize the opportunities that nanotechnology presents.

  8. 2016 IMECE Tutorials on Phonon Transport Modeling

    16 Dec 2016 | | Contributor(s):: Alan McGaughey, Xiulin Ruan

    Advances in theoretical methodologies and computational power in the last fifteen years have enabled the prediction of phonon properties with high resolution and fidelity. Notably, the use of molecular dynamics simulations, lattice dynamics calculations, density functional theory calculations,...

  9. 2016 Summer School for Integrated Computational Materials Education

    13 Jan 2017 | | Contributor(s):: Katsuyo Thornton

  10. Oct 25 2013

    2nd ICNBS Egypt 2013 International conference

    iSeS Egypt Company in cooperation with Nakaa Nanotechnology Network are organizing the international Conference: “Nanotechnology, Biotechnology and Spectroscopy: tools of success in the coming Era”...

    https://nanohub.org/events/details/660

  11. 3 min Research Talk: AFM And EBSD Cross-Comparison Analysis Tool

    30 Jan 2019 | | Contributor(s):: Andrew Martin Krawec

    This talk describes an approach to analyzing the crystal structure using data collected from AFM and EBSD scans to build an accurate image of the crystal structure and orientation in the ceramic

  12. 3 min Research Talk: Analysis of Radiation Induced Segregation in Fe-Cr-Al Alloys

    30 Jan 2019 | | Contributor(s):: Timothy Joe Pownell

    This presentation gives an overview of the results and tool that were developed from data on Radiation Induced Segregation of the prospective cladding material Fe-Cr-Al.

  13. 3 min Research Talk: Ellipsoidal Particle Detection

    30 Jan 2019 | | Contributor(s):: Gabrielle Kershaw

    The objective of this project was to create code using functions found in MATLAB Image Processing Toolbox, such as edge detection, thresholding, and morphology to isolate the desired ellipsoidal particles in images obtained from experiments. The code was to become a research tool that...

  14. 3 min Research Talk: Grain Boundary Motion Analysis

    31 Jan 2019 | | Contributor(s):: Jeremy Seiji Marquardt

    This talk aims to present the results of grain boundary motion simulations through a generalized program that streamlines and optimizes the analysis process. Various simulations examining the effects of grain boundary energy and mobility were run through Idaho National Laboratory's...

  15. 3 min Research Talk: GUI for the Surface Evolver – Polycrystalline Grain Growth

    30 Jan 2019 | | Contributor(s):: Kevin K Ngo

    This talk summarizes how the the online simulation tool, GUI for the Surface Evolver, was created as well as how it will impact research in polycrystalline grain growth. Polycrystalline grains have surface energies and tensions associated with them that cause grain boundaries to move (grow).

  16. 3 min Research Talk: Hierarchical Material Optimization using Neural Networks

    29 Oct 2019 | | Contributor(s):: Miguel Arcilla Cuaycong

    In this presentation, we sought to use a neural network (NN) to identify optimal arrangements of four different constituents in a tape spring to be used as snapping mechanisms in phase transforming cellular material that can dissipate energy.

  17. 3 min Research Talk: Predicting and Optimizing Solar Cell Performance with Material/Surface Characteristics

    31 Jan 2019 | | Contributor(s):: Yiheng Zhu

    Photovoltaic simulation tools can be utilized to predict device performance before fabrication and experimentation, streamline research processes, and interpret experimental results. Therefore, we developed ContourPV, which simulates various combinations of values of different device...

  18. 3 min Research Talk: Using Machine Learning for Materials Discovery and Property Prediction

    26 Sep 2019 | | Contributor(s):: Mackinzie S Farnell

    Machine Learning models present a transformative method of optimization and prediction in science and engineering research. In the chemical sciences, unsupervised deep learning models such as autoencoders have shown to be useful for property prediction and material...

  19. 3 min Research Talk: Web-based Machine Learning Tool for Material Discovery and Property Prediction

    26 Sep 2019 | | Contributor(s):: Bryan Arciniega

    This model allows the end-user to increase their knowledge on a scarce data set by using a data-rich property set. We also investigate the effect of chemical representation and autoencoder type on property prediction and compound generation.

  20. 3 min. Research Talk: Computational Catalysis - Creating a User-Friendly Tool for Research and Education

    31 Jan 2019 | | Contributor(s):: Kevin Greenman

    Heterogeneous catalysis is used in a significant portion of production processes in the industrialized world, which makes maximizing the efficiency of catalysts a high priority. However, the immense number of candidates for new catalysts precludes the possibility of testing all of them by...