CAREER: Harnessing Dynamic Dipoles for Solid-State Ion Transport
职业:利用动态偶极子进行固态离子传输
基本信息
- 批准号:2339634
- 负责人:
- 金额:$ 79.17万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-03-01 至 2029-02-28
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Non-Technical Abstract:Ion transport in solid-state materials underpins a wide range of societally relevant technologies. With this CAREER award, supported by the Solid State and Materials Chemistry program in NSF’s Division of Materials Research, the principal investigator and her research group investigate the use of dynamic molecular species as a design principle to facilitate solid-state ion transport. Through targeted materials discovery coupled with state-of-the-art characterization of structure and molecular dynamics, this project unravels the rich and complex mechanisms of ion transport in a class of solid-state ion conductors that has not received a lot of attention so far. Given the essential and ubiquitous role of solid-state ion transport in modern and emerging technologies, this work holds the potential for far-reaching and transformative fundamental and technological advances, for example in the areas of renewable energy technology, neuromorphic computing, and beyond. Also part of this CAREER award are educational efforts to engage learners at all levels through development of a publicly available video series that presents materials chemistry concepts in short episodes for audiences of varying educational levels and backgrounds. Outreach activities seek to broaden participation in STEM through an inquiry-based materials chemistry detective activity aimed at underserved high schools in the Denver metro area.Technical Abstract:Mastery over solid-state ion transport is paramount for broad diversity of applications and technologies, including batteries, fuel cells, neuromorphic computing, and beyond. With this CAREER award, supported by the Solid State and Materials Chemistry program in NSF’s Division of Materials Research, the principal investigator establishes a unique class of solid-state ion conductors and materials design principles that expand the present paradigm surrounding the role of polarizability and molecular dynamics in ion transport in the crystalline solid state. Experimental efforts integrate targeted materials discovery, advanced structural modeling through X-ray and neutron total scattering, and cutting-edge characterization of dynamics and diffusion to understand how dynamic, dipolar species facilitate solid-state ion transport across time and length scales. Educational tools and outreach activities engage learners at all levels with core concepts in materials chemistry. A video series presents materials chemistry concepts at varying levels of technical detail that are accessible to learners at multiple levels. STEM outreach seeks to engage high school students from underserved schools in an inquiry-based materials detective game in which students explore and develop an understanding of the relationships between composition, atomic-level structure, and observable properties in solid-state materials.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
非技术摘要:固态材料中的离子输运支撑着广泛的社会相关技术,在美国国家科学基金会材料研究部固态和材料化学项目的支持下,首席研究员和她的研究小组进行了调查。使用动态分子物种作为促进固态离子传输的设计原理,通过目标材料的发现以及最先进的结构和分子动力学表征,该项目揭示了丰富而复杂的机制。鉴于固态离子传输在现代和新兴技术中的重要和普遍作用,这项工作具有深远和广泛的潜力。变革性的基础和技术进步,例如在可再生能源技术、神经形态计算等领域,该职业奖的一部分还包括通过开发展示材料化学概念的公开视频系列来吸引各个级别的学习者。在短剧集中外展活动旨在通过针对丹佛都市区服务不足的高中的基于探究的材料化学侦探活动来扩大对 STEM 的参与。技术摘要:掌握固态离子传输对于广泛的人来说至关重要。应用和技术的多样性,包括电池、燃料电池、神经形态计算等。在 NSF 材料研究部的固态和材料化学项目的支持下,首席研究员建立了一个独特的类别。固态离子导体和材料设计原理,扩展了围绕结晶固态离子传输中极化性和分子动力学作用的现有范式。实验工作整合了目标材料发现、通过 X 射线和中子总散射进行的高级结构建模,以及动力学和扩散的前沿表征,以了解动态偶极物质如何促进固态离子在时间和长度尺度上的传输。教育工具和推广活动让各个级别的学习者了解材料化学的核心概念。化学概念在STEM 外展活动旨在让来自服务水平较低的学校的高中生参与基于探究的材料侦探游戏,在其中学生探索并加深对成分、原子水平之间关系的理解。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Annalise Maughan其他文献
Annalise Maughan的其他文献
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{{ truncateString('Annalise Maughan', 18)}}的其他基金
Conference: Integrating Large Language Models into Solid State Materials Curriculum: Enhancing Laboratory Skills through AI
会议:将大型语言模型融入固态材料课程:通过人工智能增强实验室技能
- 批准号:
2333654 - 财政年份:2023
- 资助金额:
$ 79.17万 - 项目类别:
Standard Grant
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