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.
Materials Data Sciences and Informatics
proposé par
Georgia Institute of Technology
À propos de ce cours
4.3
69 notes
Compétences que vous acquerrez
InformaticsMaterialsStatisticsData Science
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
1Welcome
What you should know before you start the course
6 lectures
6 lectures
Course Syllabus10 min
Frequently Asked Questions10 min
Suggested Reading10 min
Target Audience and Recommended Background10 min
Get More from Georgia Tech10 min
Consent Form10 min
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 vidéos (Total 78 min), 1 lecture, 1 quiz
9 vidéos
Historical Materials Development Cycles8 min
How do we accelerate materials development and deployment12 min
Emergence of multi-stakeholder initiatives8 min
The Materials Innovation Ecosystem9 min
Part 1:Multiscale Modeling and Multilevel Design of Materials8 min
Part 2: Multiscale Modeling and Multilevel design of Materials5 min
Decision-Making in Material Design9 min
Multilevel Systems-Based Materials Design5 min
1 lecture
Earn a Georgia Tech Badge/Certificate/CEUs10 min
1 exercice pour s'entraîner
Accelerating Materials Development and Deployment34 min
Semaine
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 vidéos (Total 53 min), 1 quiz
6 vidéos
Process-Structure-Property (PSP) Linkages7 min
Role of Structures in PSP Linkages10 min
Data Science Terminology6 min
Main Components of Data Science5 min
What is Big Data?6 min
1 exercice pour s'entraîner
Materials Knowledge and Materials Data Science20 min
Semaine
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 vidéos (Total 79 min), 1 quiz
6 vidéos
Spatial Correlations: n-Point Statistics11 min
Computation and Visualization of 2-Point Spatial Correlations10 min
Principal Component Analyses (PCA) for low dimensional representations12 min
Principal Component Analyses (PCA) for low dimensional representation of material structure12 min
Homogenization: Passing Information to Higher Length Scales16 min
1 exercice pour s'entraîner
Materials Knowledge Improvement Cycles16 min
Semaine
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 vidéos (Total 18 min), 1 quiz
2 vidéos
Structure-Property Linkages using a Data Science Approach-Part 25 min
1 exercice pour s'entraîner
Case Study in Homogenization: Plastic Properties of Two-Phase Composites4 min
4.3
18 avisMeilleurs avis
par 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
par BW•May 4th 2018
Great introduction of the why and how of materials informatics!
Enseignant
Dr. Surya Kalidindi
ProfessorThe George W. Woodruff School of Mechanical Engineering
À propos de 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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si j'achète le Certificat ?
Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
Coursera propose un accès universel à la meilleure formation au monde,
en partenariat avec des universités et des organisations du plus haut niveau, pour proposer des cours en ligne.
© 2019 Coursera Inc. Tous droits réservés.
