Вернуться к Materials Data Sciences and Informatics
Отзывы учащихся о курсе Materials Data Sciences and Informatics от партнера Технологический институт Джорджии
Оценки: 296
О курсе
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.
Лучшие рецензии
RR
22 сент. 2018 г.
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
DG
27 апр. 2020 г.
This course is very much interesting and i have learned about micro structure analysis using data sciences simulation, regression ,finding mechanical properties etc
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76–77 из 77 отзывов о курсе Materials Data Sciences and Informatics
автор: Henry Z
•25 апр. 2018 г.
照本宣科。以及习题的设置，怕不是在开玩笑？
автор: Shijie Z
•27 авг. 2017 г.
Too much talk about general idea. Lack of practice to learn skills
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