Materials Data Sciences and Informatics

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课程主页: https://www.coursera.org/archive/material-informatics

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课程简介

Georgia Institute of Technology

课程大纲

• 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.

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课程详情

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.

材料数据科学和信息学:本课程旨在简要概述材料科学,计算科学和信息科学交叉学科中新兴的材料信息学学科。请注意此新领域在加速材料开发和部署工作方面提供的特定机会。特别强调的是具有跨多个长度/结构比例的分层内部结构的材料,以及为这些材料建立可逆过程-结构-特性(PSP)链接所涉及的障碍。更具体地说,有人认为现代数据科学(包括高级统计,降维和元模型的制定)和创新的网络基础设施工具(包括集成平台,数据库以及用于增强跨学科团队成员之间协作的定制工具)可能会在应对上述挑战中发挥至关重要的作用。

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