DMREF/Collaborative Research: Architecting DNA Nanodevices into Metamaterials, Transducing Materials, and Assembling Materials
DMREF/合作研究:将 DNA 纳米器件构建为超材料、转换材料和组装材料
基本信息
- 批准号:2323968
- 负责人:
- 金额:$ 145万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-10-01 至 2027-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Soft architected materials self-assembled from nanoscale building blocks could have far-reaching applications in sensing, soft-robotics, energy, information storage, and medicine. Materials constructed from biological building blocks are attractive because they can integrate the advantages of biomolecular systems such as adaptability in response to external stimuli, capacity to dynamically interact with other materials, and ability to self-heal after chemical or mechanical degradation. DNA self-assembly provides a promising approach for creating such nano-architected materials due to its ability to produce precise nanostructures of unprecedented geometric complexity, tunable mechanical properties, and dynamic reconfiguration. This Designing Materials to Revolutionize and Engineer our Future (DMREF) award supports fundamental research focused on developing self-assembled materials constructed from DNA with adaptable structures and unique mechanical properties, signal processing capabilities, and the ability to form a variety of materials from a single reconfigurable building block. The research is closely aligned with the Materials Genome Initiative, which seeks to accelerate materials discovery and deployment through integration of computational, experimental, and data-driven advances. In addition, the award will provide unique training for graduate and undergraduate students in DNA nanotechnology, biochemistry, molecular simulations, machine learning, and multi-scale modeling. All training opportunities will be leveraged to benefit students from underrepresented groups. Additionally, the results of the project will be disseminated through workshops that will engage broader research communities.This research project will advance the functional properties of architected DNA materials by integrating unique mechanical, signal-transducing, and shape-morphing properties. These materials will be constructed from nanoscale DNA building blocks with precisely designed structure and tailored mechanical and dynamic properties. These units will be assembled into larger materials consisting of many devices that interact with each other to coordinate the structure and mechanical response of the materials and achieve functions like transducing signals. Design principles will be established for these materials using molecular simulation and machine learning approaches to rapidly identify nanodevice and assembly designs for on-demand material properties. The team has a highly collaborative approach that combines expertise in DNA nanomaterials, single-molecule measurements, molecular and mesoscopic modeling, and machine learning. Using these capabilities, the team will focus on three goals: design, construct and implement (i) mechanical metamaterials self-assembled from compliant DNA origami nanostructures, (ii) signal transducing materials based on dynamic DNA devices, and (iii) polymorphic networks from assembly of reconfigurable multi-arm DNA origami nanodevices. This project is supported by the Division of Civil, Mechanical and Manufacturing Innovation (CMMI) of the Directorate for Engineering (ENG) and the Division of Materials Research (DMR) of the Directorate for Mathematical and Physical Sciences (MPS).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.
由纳米级构件自组装而成的软建筑材料可以在传感、软机器人、能源、信息存储和医学领域具有深远的应用。由生物构件构建的材料很有吸引力,因为它们可以整合生物分子系统的优点,例如响应外部刺激的适应性、与其他材料动态相互作用的能力以及化学或机械降解后自我修复的能力。 DNA 自组装为制造此类纳米结构材料提供了一种有前途的方法,因为它能够产生具有前所未有的几何复杂性、可调机械性能和动态重构的精确纳米结构。设计材料以彻底改变和设计我们的未来 (DMREF) 奖项支持基础研究,重点是开发由 DNA 构建的自组装材料,这些材料具有适应性强的结构和独特的机械性能、信号处理能力以及从单一材料形成多种材料的能力可重新配置的构建块。该研究与材料基因组计划密切相关,该计划旨在通过整合计算、实验和数据驱动的进步来加速材料的发现和部署。此外,该奖项还将为研究生和本科生提供 DNA 纳米技术、生物化学、分子模拟、机器学习和多尺度建模方面的独特培训。所有培训机会都将用于使代表性不足群体的学生受益。此外,该项目的成果将通过研讨会进行传播,吸引更广泛的研究团体参与。该研究项目将通过整合独特的机械、信号转导和形状变形特性来提高 DNA 材料的功能特性。这些材料将由纳米级 DNA 构建模块构建而成,具有精确设计的结构和定制的机械和动态特性。这些单元将被组装成更大的材料,由许多彼此相互作用的设备组成,以协调材料的结构和机械响应,并实现诸如转换信号等功能。将使用分子模拟和机器学习方法为这些材料建立设计原则,以快速识别按需材料特性的纳米器件和组装设计。该团队采用高度协作的方法,结合了 DNA 纳米材料、单分子测量、分子和介观建模以及机器学习方面的专业知识。利用这些能力,该团队将专注于三个目标:设计、构建和实现 (i) 由顺应性 DNA 折纸纳米结构自组装的机械超材料,(ii) 基于动态 DNA 器件的信号转导材料,以及 (iii) 来自 DNA 折纸纳米结构的多态网络可重构多臂 DNA 折纸纳米器件的组装。该项目得到了工程理事会 (ENG) 土木、机械和制造创新部 (CMMI) 以及数学和物理科学理事会 (MPS) 材料研究部 (DMR) 的支持。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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Carlos Castro其他文献
A recommender system for requirements elicitation in large-scale software projects
大型软件项目需求获取的推荐系统
- DOI:
10.1145/1529282.1529601 - 发表时间:
2009-03-08 - 期刊:
- 影响因子:0
- 作者:
Carlos Castro;C. Duan;J. Clel;B. Mobasher - 通讯作者:
B. Mobasher
First Demonstration of Single-Mode MCF Transport Network with Crosstalk-Aware In-Service Optical Channel Control
首次演示具有串扰感知在线光通道控制的单模 MCF 传输网络
- DOI:
10.1109/ecoc.2017.8346092 - 发表时间:
2017-09-01 - 期刊:
- 影响因子:0
- 作者:
K. Pulverer;Takafumi Tanaka;Ulrich Häbel;Carlos Castro;M. Bohn;T. Mizuno;A. Isoda;K. Shibahara;Tetsuro Inui;Yutaka Miyamoto;Yusuke Sasaki;Y. Amma;K. Aikawa;Saurabh Jain;Yongmin Jung;S. Alam;David J. Richardson;M. Nooruzzaman;Toshio Morioka - 通讯作者:
Toshio Morioka
A mixed-integer linear programming model and a metaheuristic approach for the selection and allocation of land parcels problem
地块选择与分配问题的混合整数线性规划模型和元启发式方法
- DOI:
10.1111/itor.13115 - 发表时间:
2022-01-11 - 期刊:
- 影响因子:0
- 作者:
Alej;ro Fernández Gil;ro;Mariam Gómez Sánchez;Carlos Castro;Alain Pérez - 通讯作者:
Alain Pérez
NEC-Associated DNA Methylation Signatures in Colon are Evident in Stool Samples of Affected Individuals
受影响个体的粪便样本中明显存在结肠中 NEC 相关的 DNA 甲基化特征
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
M. Good;Tianjiao Chu;Patricia A. Shaw;Lila S. Nolan;L. McClain;Austin Chamberlain;Carlos Castro;Qingqing Gong;Krista Cooksey;Laura A. Linneman;David N. Finegold;David G. Peters - 通讯作者:
David G. Peters
Hepatobiliary scintigraphy to evaluate liver function in associating liver partition and portal vein ligation for staged hepatectomy: Liver volume overestimates liver function
肝胆闪烁扫描评估肝功能,与肝分区和门静脉结扎相关的分期肝切除术:肝脏体积高估了肝功能
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:3.8
- 作者:
P. Olthof;F. Tomassini;Pablo E. Huespe;S. Truant;F. Pruvot;R. Troisi;Carlos Castro;E. Schadde;R. Axelsson;E. Sparrelid;R. Bennink;R. Adam;T. V. van Gulik;E. de Santibañes - 通讯作者:
E. de Santibañes
Carlos Castro的其他文献
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{{ truncateString('Carlos Castro', 18)}}的其他基金
PFI-TT: DNA Sensors for Rapid Detection of COVID-19 and other Viral Diseases with High Sensitivity
PFI-TT:用于高灵敏度快速检测 COVID-19 和其他病毒性疾病的 DNA 传感器
- 批准号:
2044601 - 财政年份:2021
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
EFRI CEE: DNA origami tools to engineer chromatin structure and function in live cells
EFRI CEE:用于改造活细胞染色质结构和功能的 DNA 折纸工具
- 批准号:
1933344 - 财政年份:2019
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
DMREF/Collaborative Research: DNA-based Sensing, Communicating, and Phase-Separating Materials
DMREF/合作研究:基于 DNA 的传感、通信和相分离材料
- 批准号:
1921881 - 财政年份:2019
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
CAREER: A Molecular Force Sensor for Single Molecule Studies of Cellular Force Application
职业:用于细胞力应用的单分子研究的分子力传感器
- 批准号:
1351159 - 财政年份:2014
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
BRIGE: Fluorescence Based Single Molecule Force Spectroscopy with DNA Nanotechnology
BRIGE:基于荧光的单分子力光谱与 DNA 纳米技术
- 批准号:
1228104 - 财政年份:2012
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
Design of DNA Origami Machines and Mechanisms
DNA折纸机和机构的设计
- 批准号:
1235060 - 财政年份:2012
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
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