Materials Data Sciences and Informatics
oferecido por
Materials Data Sciences and Informatics
Georgia Institute of Technology
Informações sobre o curso
4.3
63 classificações
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.
Habilidades que você terá
InformaticsMaterialsStatisticsData Science
Programa - O que você aprenderá com este curso
Week
1Welcome
What you should know before you start the course
6 leituras
6 leituras
Course Syllabus10min
Frequently Asked Questions10min
Suggested Reading10min
Target Audience and Recommended Background10min
Get More from Georgia Tech10min
Consent Form10min
Accelerating Materials Development and Deployment
• Learn and appreciate historical paradigms of advanced materials development while emphasizing the critical need for new approaches that employ data sciences and informatics as the glue to connect computational simulation and experiments to speed up the processes of materials discovery and development.
• Learn about the emergence of key national and international 21st century initiatives in accelerated materials discovery and development and how they are expected to bring about a disruptive transformation of new product capabilities and time to market.
9 vídeos (Total de 78 min), 1 leitura, 1 teste
9 videos
Historical Materials Development Cycles8min
How do we accelerate materials development and deployment12min
Emergence of multi-stakeholder initiatives8min
The Materials Innovation Ecosystem9min
Part 1:Multiscale Modeling and Multilevel Design of Materials8min
Part 2: Multiscale Modeling and Multilevel design of Materials5min
Decision-Making in Material Design9min
Multilevel Systems-Based Materials Design5min
1 leituras
Earn a Georgia Tech Badge/Certificate/CEUs10min
1 exercício prático
Accelerating Materials Development and Deployment34min
Week
2Materials Knowledge and Materials Data Science
• Understand property, structure and process spaces
• Learn about Process-Structure-Property Linkages
• Learn what does Materials Knowledge mean
• Learn about a role of Data Science in Materials Knowledge System
• Overview approaches and main components of Data Science
• Learn about a new discipline - Materials Data Sciences
6 vídeos (Total de 53 min), 1 teste
6 videos
Process-Structure-Property (PSP) Linkages7min
Role of Structures in PSP Linkages10min
Data Science Terminology6min
Main Components of Data Science5min
What is Big Data?6min
1 exercício prático
Materials Knowledge and Materials Data Science20min
Week
3Materials Knowledge Improvement Cycles
• Learn material structure and its digital representation
• Learn how to calculate 2-point statistics
• Learn how Principal Component Analysis can be used to reduce dimensionality
• Understand Homogenization and Localization concepts
6 vídeos (Total de 79 min), 1 teste
6 videos
Spatial Correlations: n-Point Statistics11min
Computation and Visualization of 2-Point Spatial Correlations10min
Principal Component Analyses (PCA) for low dimensional representations12min
Principal Component Analyses (PCA) for low dimensional representation of material structure12min
Homogenization: Passing Information to Higher Length Scales16min
1 exercício prático
Materials Knowledge Improvement Cycles16min
Week
4Case Study in Homogenization: Plastic Properties of Two-Phase Composites
This module demonstrates a homogenization problem based on an example of two-phase composites
2 vídeos (Total de 18 min), 1 teste
2 videos
Structure-Property Linkages using a Data Science Approach-Part 25min
1 exercício prático
Case Study in Homogenization: Plastic Properties of Two-Phase Composites4min
4.3
Melhores avaliações
por RR•Sep 23rd 2018
Machine learning part and its application to material science was interesting but informative contents like material dev eco system and whole week 1 was more informative than logical
por BW•May 4th 2018
Great introduction of the why and how of materials informatics!
Instrutores
Dr. Surya Kalidindi
ProfessorThe George W. Woodruff School of Mechanical Engineering
Sobre Georgia Institute of Technology
The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology.
Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where more than 20,000 undergraduate and graduate students receive a focused, technologically based education.
Perguntas Frequentes – FAQ
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
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