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Materials Data Sciences: Accelerating Materials Innovation
Explore the intersection of materials science and data science to drive materials innovation and development.
Course Cost
₹ 2,699
Intermediate
Skill Level
9 Hours
Self-paced lessons
This course, offered by Georgia Tech, provides a comprehensive overview of Materials Informatics, an emerging discipline at the intersection of materials science, computational science, and information science. It focuses on how modern data sciences and innovative cyberinfrastructure tools can accelerate materials development and deployment efforts. The curriculum covers advanced statistics, dimensionality reduction, metamodels, and tools for enhancing collaborations among cross-disciplinary team members. Students will learn about process-structure-property linkages, materials knowledge systems, and the application of data science techniques to materials science problems. The course also explores materials innovation cyberinfrastructure and integrated workflows, preparing students for the future of materials development.
17,661 Enrolled
English
What you'll learn
Understand the role of data sciences in accelerating materials development and deployment
Learn about process-structure-property linkages and materials knowledge systems
Apply data science techniques to materials science problems, including dimensionality reduction and metamodeling
Analyze material structures using digital representations and spatial correlations
Understand and apply homogenization techniques for multi-scale material analysis
Explore materials innovation cyberinfrastructure and integrated workflows
Gain hands-on experience with tools like PyMKS for materials data analysis
Develop skills in applying machine learning techniques to materials science challenges
Skills you'll gain
This course includes:
4.47 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive introduction to Materials Data Sciences and Informatics, an emerging field that combines materials science with data science and informatics. The curriculum is structured into six modules, covering topics from historical materials development paradigms to advanced data science techniques applied to materials problems. Students will learn about process-structure-property linkages, materials knowledge systems, and how data science can accelerate materials discovery and development. The course explores key concepts such as digital representation of material structures, spatial correlations, principal component analysis, and homogenization techniques. It also covers materials innovation cyberinfrastructure, including databases, e-collaboration platforms, and integrated workflows. Throughout the course, students will engage with real-world case studies and hands-on exercises using tools like PyMKS (Materials Knowledge Systems in Python). This course aims to equip students with the skills needed to apply data science techniques to materials science challenges, preparing them for the future of materials development and innovation.
Welcome
Module 1 · 1 Hours to complete
Accelerating Materials Development and Deployment
Module 2 · 2 Hours to complete
Materials Knowledge and Materials Data Science
Module 3 · 1 Hours to complete
Materials Knowledge Improvement Cycles
Module 4 · 1 Hours to complete
Case Study in Homogenization: Plastic Properties of Two-Phase Composites
Module 5 · 47 Minutes to complete
Materials Innovation Cyberinfrastructure and Integrated Workflows
Module 6 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.6
85
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17,612
Students
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.