DMREF: Computer-aided Design of Hierarchical Molecular Materials
DMREF:分层分子材料的计算机辅助设计
基本信息
- 批准号:1533988
- 负责人:
- 金额:$ 120万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-10-01 至 2019-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DMREF: Computer-aided Design of Hierarchical Molecular MaterialsNon-technical Description: Organic materials that spontaneously order into specific architectures could significantly advance our ability to harvest solar energy. However, developing these materials in traditional ways is a tedious process. This project will integrate computer-aided design (CAD), synthesis, and characterization to make a transformative approach in ordered organic materials discovery. An Indiana University team will study packing interactions and develop CAD algorithms for organic architectures. The architectures will form by spontaneous interactions of molecular building blocks programmed with specific features that connect them with neighbors. Resulting architectures will be characterized with state-of-the-art microscopy at single molecule resolution. Those data will be used to improve the design algorithm to reliably predict two-dimensional packing and film growth on surfaces. This algorithm will be implemented as computer software to supersede experiment and thus allow vast speed-ups in the discovery of new organic materials for harvesting solar energy. This work will have a broad impact on many applications of organic materials through free distribution of the design software and through national scientific symposia. The project will also sponsor recruitment of under-represented groups to scientific research careers and outreach to engage high school students in nanoscience education, thus impacting the next generation of scientists.Technical Description: It is understood that blending two types of organic polymers with 10-20 nm feature sizes is advantageous in photovoltaic devices, but, at present, we do not know how to program organic molecules to form organized bulk heterojunctions with these feature sizes. This project will apply an integrated theory-experiment approach to the programming of molecular self-assembly. Multiscale simulations will be implemented as the core of a materials CAD platform. Innovations in multiscale molecular dynamics will be used to accelerate computation. Batch execution of simulations will be automated by database-backed software. CAD results will be used to design molecules that will be synthesized and allowed to self-assemble at the solution-solid interface. 2D and 3D architectures will be characterized using molecular-resolution scanning tunneling microscopy. Continuous feedback between CAD and the resulting architectures will accelerate the discovery of highly ordered multilayer films. The self-organization of two-component mixtures into alternating domains will be investigated. CAD software will be made available for others to use in the creation of novel organic materials.
DMREF:分层分子材料的计算机辅助设计非技术性描述:自发地排列成特定结构的有机材料可以显着提高我们收集太阳能的能力。然而,以传统方式开发这些材料是一个繁琐的过程。该项目将整合计算机辅助设计(CAD),合成和表征,在有序有机材料的发现中进行变革性的方法。一个印第安纳州大学的研究小组将研究包装的相互作用,并为有机建筑开发CAD算法。这些结构将通过分子构建块的自发相互作用形成,这些分子构建块具有将它们与邻居连接起来的特定特征。所得的架构将其特征在于与国家的最先进的显微镜在单分子分辨率。这些数据将用于改进设计算法,以可靠地预测表面上的二维堆积和薄膜生长。这种算法将作为计算机软件来实现,以取代实验,从而大大加快发现用于收集太阳能的新有机材料的速度。这项工作将通过免费分发设计软件和通过国家科学研讨会对有机材料的许多应用产生广泛的影响。该项目还将赞助招募代表性不足的群体从事科学研究事业,并推广高中生参与纳米科学教育,从而影响下一代科学家。技术描述:应当理解,将具有10-20 nm特征尺寸的两种类型的有机聚合物共混在光伏器件中是有利的,但是,目前,我们不知道如何编程有机分子以形成具有这些特征尺寸的有序体异质结。本计画将以理论与实验相结合的方法,进行分子自组装的程序设计。多尺度模拟将作为材料CAD平台的核心。多尺度分子动力学的创新将用于加速计算。模拟的批量执行将由数据库支持的软件自动化。CAD结果将用于设计将被合成并允许在溶液-固体界面自组装的分子。2D和3D架构将使用分子分辨率扫描隧道显微镜进行表征。CAD和最终架构之间的持续反馈将加速高度有序的多层膜的发现。将研究双组分混合物进入交替域的自组织。CAD软件将提供给其他人用于创造新的有机材料。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Solution-Mediated Annealing Pathways Are Critical for Supramolecular Ordering of Complex Macrocycles at Surfaces
- DOI:10.1021/acs.jpcc.9b11867
- 发表时间:2020-03-26
- 期刊:
- 影响因子:3.7
- 作者:Castillo, Henry D.;Yang, Jing;Tait, Steven L.
- 通讯作者:Tait, Steven L.
Sequence-Defined Macrocycles for Understanding and Controlling the Build-up of Hierarchical Order in Self-Assembled 2D Arrays
- DOI:10.1021/jacs.9b06410
- 发表时间:2019-11-06
- 期刊:
- 影响因子:15
- 作者:Dobscha, James R.;Castillo, Henry D.;Flood, Amar H.
- 通讯作者:Flood, Amar H.
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Amar Flood其他文献
Amar Flood的其他文献
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{{ truncateString('Amar Flood', 18)}}的其他基金
Collaborative Research: GCR: Convergence on Phosphorus Sensing for Understanding Global Biogeochemistry and Enabling Pollution Management and Mitigation
合作研究:GCR:融合磷传感以了解全球生物地球化学并实现污染管理和缓解
- 批准号:
2317826 - 财政年份:2023
- 资助金额:
$ 120万 - 项目类别:
Continuing Grant
DMREF: Designing Optical Materials with Small-Molecule Ionic Isolation Lattices (SMILES)
DMREF:使用小分子离子隔离晶格 (SMILES) 设计光学材料
- 批准号:
2118423 - 财政年份:2022
- 资助金额:
$ 120万 - 项目类别:
Standard Grant
New Anions to Understand Recognition Chemistry and Drive Hierarchical Assembly with Cyanostars
新阴离子可帮助理解识别化学并利用 Cyanostars 驱动分层组装
- 批准号:
2105848 - 财政年份:2021
- 资助金额:
$ 120万 - 项目类别:
Standard Grant
Anion-driven recognition and assemblies of shape-persistent cyanostar macrocycles
阴离子驱动的形状持久氰星大环化合物的识别和组装
- 批准号:
1709909 - 财政年份:2018
- 资助金额:
$ 120万 - 项目类别:
Standard Grant
I-Corps: Fluorescent Dyes and Pigments by Small Molecule Isolation Lattices, SMILES
I-Corps:小分子隔离晶格的荧光染料和颜料,SMILES
- 批准号:
1826693 - 财政年份:2018
- 资助金额:
$ 120万 - 项目类别:
Standard Grant
Collaborative Research: Understanding the Design Principles of Modular Nanopores for Highly Efficient Chemical Sensing
合作研究:了解模块化纳米孔的设计原理以实现高效化学传感
- 批准号:
1709625 - 财政年份:2017
- 资助金额:
$ 120万 - 项目类别:
Standard Grant
2017 Artificial Molecular Switches and Motors: Gordon Research Seminar (GRS)
2017人工分子开关和电机:戈登研究研讨会(GRS)
- 批准号:
1738098 - 财政年份:2017
- 资助金额:
$ 120万 - 项目类别:
Standard Grant
INFEWS N/P/H2O (SusChEM): Understanding structure and organization of receptors at water interfaces for discovery of phosphate recognition design principles
INFEWS N/P/H2O (SusChEM):了解水界面受体的结构和组织,以发现磷酸盐识别设计原理
- 批准号:
1609672 - 财政年份:2016
- 资助金额:
$ 120万 - 项目类别:
Standard Grant
Syntheses, Anion Recognition and Self-assemblies of Cyanostilbene Receptors
氰芪受体的合成、阴离子识别和自组装
- 批准号:
1412401 - 财政年份:2014
- 资助金额:
$ 120万 - 项目类别:
Standard Grant
CAREER: STUDIES OF ANION-RECEPTOR AND CH-ANION BINDING USING TRIAZOLOPHANES
职业:使用三唑啉研究阴离子受体和 C-阴离子结合
- 批准号:
0844441 - 财政年份:2009
- 资助金额:
$ 120万 - 项目类别:
Continuing Grant
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