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Materials Data Sciences and Informatics
  • Level Professional
  • Duration 9 hours
  • Course by Georgia Institute of Technology
  • Offered by

About

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges.

Modules

Introduction and Course Overview

    • 6 Readings
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6 Readings

  • Course Syllabus
  • Frequently Asked Questions
  • Suggested Reading
  • Target Audience and Recommended Background
  • Get More from Georgia Tech
  • Consent Form

Importance of accelerated and integrated materials and product design/development

    • 1 Videos
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1 Videos

  • Why Accelerate Material Discovery and Development?

Historical materials development and deployment cycles

    • 1 Videos
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1 Videos

  • Historical Materials Development Cycles

How do we accelerate materials development and deployment?

    • 1 Videos
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1 Videos

  • How do we accelerate materials development and deployment

Emergence of multi-stakeholder initiatives

    • 1 Videos
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1 Videos

  • Emergence of multi-stakeholder initiatives

The Materials Innovation Ecosystem

    • 1 Videos
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1 Videos

  • The Materials Innovation Ecosystem

Multiscale modeling and multilevel design of materials with structure hierarchy

    • 2 Videos
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2 Videos

  • Part 1:Multiscale Modeling and Multilevel Design of Materials
  • Part 2: Multiscale Modeling and Multilevel design of Materials

Decision-making in systems based robust materials design

    • 1 Videos
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1 Videos

  • Decision-Making in Material Design

Multilevel decision based design

    • 1 Videos
    • 1 Readings
    • 2 Discussion
    • 1 Assignment
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1 Assignment

  • Accelerating Materials Development and Deployment

2 Discussions

  • Assignment #1
  • Assignment #2

1 Videos

  • Multilevel Systems-Based Materials Design

1 Readings

  • Earn a Georgia Tech Badge/Certificate/CEUs

Property, structure, and process spaces

    • 1 Videos
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1 Videos

  • Material Property, Material Structure, and Manufacturing Processes

Process-Structure-Property (PSP) Linkages

    • 1 Videos
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1 Videos

  • Process-Structure-Property (PSP) Linkages

Role of Structure in PSP Linkages

    • 1 Videos
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1 Videos

  • Role of Structures in PSP Linkages

What is Data Science?

    • 1 Videos
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1 Videos

  • Data Science Terminology

The main components of Data Science

    • 1 Videos
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1 Videos

  • Main Components of Data Science

What is Big Data?

    • 1 Videos
    • 1 Assignment
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1 Assignment

  • Materials Knowledge and Materials Data Science

1 Videos

  • What is Big Data?

Digital Representation of Material Structure

    • 1 Videos
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1 Videos

  • Digital Representation of Material Structure

Spatial Correlations: n-Point Statistics

    • 1 Videos
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1 Videos

  • Spatial Correlations: n-Point Statistics

Computation and Visualization of 2-Point Spatial Correlations

    • 1 Videos
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1 Videos

  • Computation and Visualization of 2-Point Spatial Correlations

Principal Component Analyses (PCA) for low dimensional representation of material structure

    • 2 Videos
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2 Videos

  • Principal Component Analyses (PCA) for low dimensional representations
  • Principal Component Analyses (PCA) for low dimensional representation of material structure

Scale-bridging: Information to Higher Length Scales (aka Homogenization)

    • 1 Videos
    • 1 Assignment
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1 Assignment

  • Materials Knowledge Improvement Cycles

1 Videos

  • Homogenization: Passing Information to Higher Length Scales

Process-Structure-Property (PSP) Linkages using Data Science Approach - Case study

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Case Study in Homogenization: Plastic Properties of Two-Phase Composites

2 Videos

  • Structure-Property Linkages using a Data Science Approach-Part 1
  • Structure-Property Linkages using a Data Science Approach-Part 2

Materials Innovation Ecosystem

    • 1 Videos
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1 Videos

  • Materials Innovation Ecosystem

Materials Innovation Cyberinfrastructure

    • 1 Videos
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1 Videos

  • Materials Innovation Cyberinfrastucture

e-Collaboration Platforms/Environments

    • 1 Videos
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1 Videos

  • e-Collaboration Platforms/Environments

Materials Cyberinfrastructure - Materials Databases and Repositories

    • 1 Videos
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1 Videos

  • Materials Cyber-Infrastructure

PyMKS

    • 2 Videos
    • 2 Readings
    • 2 Discussion
    • 1 Assignment
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1 Assignment

  • Materials Innovation Cyberinfrastructure and Integrated Workflows

2 Discussions

  • PyMKS output
  • Auto and Crosscorrelation for a microstructure

2 Videos

  • Introduction to PyMKS Materials Knowledge Systems in Python
  • Materials Data Science with PyMKS

2 Readings

  • PyMKS website
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Auto Summary

Embark on a journey into the cutting-edge field of Materials Informatics, a dynamic intersection of materials science, computational science, and information science. This professional-level course, crafted by Coursera, delves into the exciting opportunities within the emerging discipline to accelerate materials development and deployment. With a particular focus on materials that exhibit hierarchical internal structures across multiple scales, learners will explore the challenges in establishing process-structure-property (PSP) linkages. Throughout this comprehensive course, you will engage with modern data sciences techniques such as advanced statistics, dimensionality reduction, and metamodel formulation. Additionally, you'll gain insights into innovative cyberinfrastructure tools designed to enhance collaboration among cross-disciplinary teams through integration platforms, databases, and customized tools. Spanning 540 hours, the course is ideal for professionals seeking to deepen their expertise in materials science and informatics. Flexible subscription options, including Starter and Professional tiers, ensure that you can tailor your learning experience to your needs. Join a community of learners and professionals in mastering the pivotal role of data sciences in the future of materials development.

Dr. Surya Kalidindi
Instructor

Dr. Surya Kalidindi