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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/high-throughput
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课程名称：高通量材料开发导论 课程概述：本课程介绍了高通量实验方法，这些方法能够加速新材料的发现和开发。新材料的发现被广泛认为是解决许多行业和社会技术问题的关键，包括能源生产与利用、碳捕捉、组织工程及可持续材料生产等。本课程将向学习者介绍一种创新的材料发现与表征方法：高通量材料开发（HTMD）。 无论是工程师还是科学家，来自于工业、学术或政府的人员都能通过本课程获益，学会如何将HTMD的一项元素——高通量实验方法，应用于现实世界中的材料发现和表征问题。国际领先的专家将提供关于HTMD的历史视角，描述如何制备覆盖数百或数千种成分的“库”样本，解释如何表征这些库以确定材料的结构及各类性能，包括光学、电学、机械、化学、热学等。通过案例研究，课程将展示在能源、交通和生物技术等领域对金属、陶瓷、高分子和复合材料的研究方法。 本课程由乔治亚理工学院材料学院（IMat）开发，旨在向广泛受众介绍材料基因组倡议的核心要素。乔治亚理工还将通过Coursera提供其他课程，专注于将（i）高通量实验与（ii）建模与仿真及（iii）材料数据科学和信息学相结合。 完成本课程后，学习者将能够： - 确定高通量材料开发（HTMD）发展的关键事件。 - 向所在组织传达HTMD的益处。 - 解释高通量方法（计算和实验）的含义及其在材料发现/开发中的优点。 - 概述高通量材料库（包含数百至数千个小样本的样本）创建/处理的原理和方法。 - 阐明高通量结构表征的原理和方法。 - 阐明高通量性能测量的原理和方法。 - 确认高通量筛选（HTS）在材料发现工作中的价值。 - 针对感兴趣的性能测量选择合适的HTS方法。 - 识别在该领域工作的公司和组织，并运用这些知识选择合适的HTS合作伙伴。 - 应用实验设计、材料库合成和筛选的原理解决材料设计挑战。 - 构思完整的高通量策略以获得材料设计和发现的处理-结构-性能（PSP）关系。 课程大纲： 1. 欢迎 - 课程开始前所需了解的信息。 2. 介绍 - 框定材料设计的大问题，说明材料基因组倡议如何利用高通量计算和实验技术加速材料发现与开发，并提供历史视角和未来展望。 3. 库准备 - 讨论如何实验生成离散或梯度材料库，以探讨成分或微结构对性能的影响；考虑不同材料类的各种工艺和合成方法。 4. 高通量成分和结构表征 - 介绍适合测量材料库中元素成分和结构的技术，针对不同材料类进行讨论。 5. 高通量性能测量 - 讨论适合高通量筛选的性能测量方法，考虑光学、电学、机械、化学和热学等特性。 6. 应用 - 通过涵盖不同材料类、性质、工业领域和成熟度等级的多个HTMD应用来说明该方法。
Name:Welcome
Description:What you should know before you start the course
Name:Introduction
Description:Frame the grand problem of materials design and how the Materials Genome Initiative approach, which encompasses high-throughput computational and experimental techniques as essential elements, will accelerate materials discovery and development. Provide a historical perspective and future outlook.
Name:Library Preparation
Description:This module covers methods to experimentally generate discrete or gradient material libraries for interrogating the influence of composition or microstructure on properties; various process and synthesis methods for different classes of materials are considered
Name:High-Throughput Characterization of Composition and Structure
Description:This module covers techniques suitable for measuring the elemental composition and the structure in the material libraries; techniques for different classes of materials are considered.
Name:High-Throughput Property Measurements
Description:This module covers techniques to experimentally conduct property measurements suitable for high-throughput screening; optical, electronic, mechanical, chemical, and thermal properties are considered.
Name:Applications
Description:This module illustrates several applications of HTMD covering a range of material classes, properties, industrial sectors, and maturity levels.
This course is an introduction to high-throughput experimental methods that accelerate the discovery and development of new materials. It is well recognized that the discovery of new materials is the key to solving many technological problems faced by industry and society. These problems include energy production and utilization, carbon capture, tissue engineering, and sustainable materials production, among many others. This course will introduce the learner to a remarkable new approach to materials discovery and characterization: high-throughput materials development (HTMD). Engineers and scientists working in industry, academic or government will benefit from this course by developing an understanding of how to apply one element of HTMD, high-throughput experimental methods, to real-world materials discovery and characterization problems. Internationally leading faculty experts will provide a historical perspective on HTMD, describe preparation of ‘library’ samples that cover hundreds or thousands of compositions, explain techniques for characterizing the library to determine the structure and various properties including optical, electronic, mechanical, chemical, thermal, and others. Case studies in energy, transportation, and biotechnology are provided to illustrate methodologies for metals, ceramics, polymers and composites. The Georgia Tech Institute for Materials (IMat) developed this course in order to introduce a broad audience to the essential elements of the Materials Genome Initiative. Other courses will be offered by Georgia Tech through Coursera to concentrate on integrating (i) high-throughput experimentation with (ii) modeling and simulation and (iii) materials data sciences and informatics. After completing this course, learners will be able to • Identify key events in the development of High-Throughput Materials Development (HTMD) • Communicate the benefits of HTMDwithin your organization. • Explain what is meant by high throughput methods (both computational and experimental), and their merits for materials discovery/development. • Summarize the principles and methods of high throughput creation/processing of material libraries (samples that contain 100s to 1000s of smaller samples). • State the principles and methods for high-throughput characterization of structure. • State the principles and methods for high throughput property measurements. • Identify when high-throughput screening (HTS) will be valuable to a materials discovery effort. • Select an appropriate HTS method for a property measurement of interest. • Identify companies and organizations working in this field and use this knowledge to select appropriate partners for design and implementation of HTS efforts. • Apply principles of experimental design, library synthesis and screening to solve a materials design challenge. • Conceive complete high-throughput strategies to obtain processing-structure-property (PSP) relationships for materials design and discovery.
