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 1173)

  1. Oct 21 2024

    5th International Conference on Materials Science & Nanotechnology

    The 5th International Conference on Materials Science & Nanotechnology, the five-day scientific event is scheduled for October 21-25, 2024, in Athens, Greece and Online.Future...

    https://nanohub.org/events/details/2411

  2. Exciton Ultrafast Dynamics in Nanomaterials

    07 Dec 2023 | | Contributor(s):: Aziz Boulesbaa, The Micro Nano Technology - Education Center

    In this talk, I will present our experimental capabilities to study nanomaterials.  In particular, femtosecond laser spectroscopy and microscopy will be discussed....

  3. Data-Driven Materials Innovation: where Machine Learning Meets Physics

    29 Nov 2023 | | Contributor(s):: Anand Chandrasekaran

    Learn how Schrödinger’s tools can address common issues by using a combination of physics-based simulation data, enterprise informatics, and chemistry-aware ML.

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

    29 Nov 2023 | | Contributor(s):: Michael Rauch

    In this workshop, we will demonstrate the hands-on use of Schrödinger's MS Maestro graphical user interface within nanoHUB to perform machine learning model creation and implementation.

  5. Nov 07 2023

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

    Hands-On Workshop in nanoHUB: Machine Learning Models for Ionic Conductivity with Schrödinger's AutoQSARSpeaker: Michael Rauch, Principal Scientist, SchrödingerDate: Nov. 7,...

    https://nanohub.org/events/details/2397

  6. Oct 31 2023

    Machine Learning for Materials Science with Schrödinger

    Machine Learning for Materials Science with SchrödingerSpeaker: Anand Chandrasekaran, Principal Scientist, SchrödingerDate: Oct 31, 2023 1:00 PM EST Click here to...

    https://nanohub.org/events/details/2396

  7. Oct 23 2023

    4th International Conference on Materials Science & Nanotechnology

    Future Materials 2023 is scheduled for October 23- 27, 2023, in Valencia, Spain and it will provide an international platform to discuss emerging trends and advancement in the research and...

    https://nanohub.org/events/details/2268

  8. Schrödinger Materials Science AutoQSAR for Machine Learning

    11 Sep 2023 |

    Build quantitative structure-activity relationships (QSAR) automatically for molecular systems with Schrödinger's AutoQSAR tool

  9. Exploring the Nano World: Building Nanoscale Structures with Polymer Modeler

    14 Jul 2023 | | Contributor(s):: Tongtong Shen

    In this talk, I will showcase how atomic-level simulations can lead to a more fundamental understanding of PAN crystal structures and guide you through an interactive Polymer Modeler powered by nanoHUB.

  10. Anand Pandey

    Dr. Anand Pandey completed his Ph.D. while working on charge transport layers for perovskite solar cells at the University of Allahabad in 2023. He is currently a Research Associate at Wide Bandgap...

    https://nanohub.org/members/406794

  11. Fazlay Elahi

    https://nanohub.org/members/406446

  12. Jun 09 2023

    Exploring the Nano World: Building Nanoscale Structures with Polymer Modeler

    Exploring the Nano World: Building Nanoscale Structures with Polymer ModelerPresenter:Dr. Tongtong (Tanya) Shen, AppleDate and Time:June 9, 2023; 2:00 - 3:00 PM EDTRegister hereAbstract:The...

    https://nanohub.org/events/details/2263

  13. Phase Diagrams & Pb-free Low-temperature Solder Materials in Microelectronics

    24 May 2023 | | Contributor(s):: Carol Handwerker, Congying Wang, Alejandro Strachan

    This module enables students to use Thermo-Calc to work with concepts and skills for interpreting and using phase diagrams to design low temperature solders for microelectronics applications.  There are three parts to the module: Homework assignment (this resource) on using phase...

  14. Chemistry and Materials with the Amsterdam Modeling Suite

    19 Apr 2023 | | Contributor(s):: Nicolas Onofrio

    In this talk, I will give an overview of the Amsterdam Modeling Suite to perform atomistic simulations at various levels of theory.

  15. Mechanical response of materials using Jupyter

    31 Jan 2023 | | Contributor(s):: Alejandro Strachan

    This tool provides mathematical tools using python in Jupyter to explore and calculate mechanical properties of materials

  16. Materials and Manufacturing Innovation towards Sustainable Energy

    24 Jan 2023 | | Contributor(s):: Tian Li

    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...

  17. DNA Automation with Nano-Structured Ceramics

    03 Jan 2023 | | 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...

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

    23 Dec 2022 | | 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.

  19. Introduction to X-ray Diffraction (XRD)

    02 Dec 2022 | | Contributor(s):: Peter Kazarinoff, NACK Network

  20. Interactive Modeling of Materials with Density Functional Theory Using the Quantum ESPRESSO Interface within the MIT Atomic Scale Modeling Toolkit

    22 Nov 2022 | | Contributor(s):: Enrique Guerrero

    We will explore the Quantum ESPRESSO interface within the MIT Atomic-Scale Modeling Toolkit with interactive examples. We will review the basics of density functional theory and then focus on the tool’s capabilities.