DMREF/Collaborative Research: Computationally Driven Design of Synthetic Tissue-Like Multifunctional Materials

DMREF/合作研究：合成组织类多功能材料的计算驱动设计

基本信息

批准号：
2119716
负责人：
Berkin Dortdivanlioglu
金额：
$ 80万
依托单位：
University of Texas at Austin
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2119716&HistoricalAwards=false
关键词：
DMREF Collaborative Research Computationally Driven

项目摘要

In nature, living cells join to form tissues capable of collective behaviors, such as sensing and responding to external cues, communicating, sorting and storing chemical species, and adapting their mechanical properties to sustain necessary loads. Biological tissues achieve these desirable properties because of careful control over the contents, arrangements, and interconnections of individual cells, an approach that yields hierarchical materials with high levels of adaptability, responsiveness, and tunable mechanical strength. Replicating these types of emergent properties in synthetic materials remains a major engineering challenge. This Designing Materials to Revolutionize and Engineer our Future (DMREF) award supports basic research and scientific development of material systems that mimic the composition, organization, and properties of living tissues. The computationally led designs of tissues-like materials with precise compositions and spatial arrangements seek to offer a generalizable solution for applications in artificial tissue replacement, wound healing, soft robotics, and embedded computing technologies. In addition, the project will support the technical and professional development of the STEM workforce by promoting the participation of high school, undergraduate, and graduate students, especially from the first-generation and underrepresented groups, through various outreach and research activities.This project aims to study synthetic tissues comprised of independent cell-like compartments coupled hierarchically through mechanical tethering (i.e., self-assembling block copolymer microgels (BCPs) as synthetic cytoskeleton) and selective transport (i.e., protein-enriched biomimetic membranes (BMs) as selective barriers) mechanisms and incorporating stimuli-responsiveness (e.g., via polymers and membrane proteins) into the compartments. Computational approaches combine molecular transport, stimuli-responsive coupled deformations of BCPs, intercompartment adhesion, and biomembrane mechanics to predict failure behaviors, emergent properties, and functionalities of tissue-like assemblies. An iterative feedback loop between theory, computations, synthesis of BCPs, 3D bioprinting, and microscale mechanical characterization is central to the project for validating predictions, informing model development, and creating a modular database. The construction of a compartmentalized material system that exhibits selective internal transport pathways via lipid- and protein-based BMs and tunable mechanical properties via BCPs will be achieved by understanding how the tunable hydrophobic and hydrophilic regions of BCPs: 1) interact with amphiphilic BMs at the nanoscale; 2) self-assemble and entangle to form solid-like gels at the microscale; 3) cross-link between compartments at the macroscale to rigidify the entire assembly. Ultimately, this project will provide the quantitative knowledge base and modular design criteria to accelerate the assembly and use of compartmentalized tissue-like materials that are multifunctional, stimuli-responsive, adaptable, tough, and operate outside of equilibrium.This project is co-funded by the Division of Civil, Mechanical and Manufacturing Innovation in the Directorate for Engineering and the Division of Materials Research in the Directorate for Mathematical and Physical Sciences.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.

在自然界中，活细胞结合起来形成能够集体行为的组织，例如感应和响应外部提示，通信，分类和储存化学物种，并适应其机械性能以维持必要的负载。生物组织获得了这些理想的特性，因为对单个细胞的内容，排列和互连进行了仔细的控制，这种方法可产生具有高度适应性，响应能力和可调机械强度的层次材料。在合成材料中复制这些类型的新兴特性仍然是一个主要的工程挑战。这种设计材料彻底改变和设计我们的未来（DMREF）奖支持模仿生物组织的组成，组织和特性的材料系统的基础研究和科学开发。具有精确组成和空间布置的组织样材料的计算LED设计，试图为人工组织置换，伤口愈合，软机器人技术和嵌入式计算技术提供可推广的解决方案。此外，该项目将通过各种外展和研究活动来促进高中，本科生和研究生的参与，尤其是来自第一代和代表性不足的团体，以支持STEM劳动力的技术和专业发展。研究由独立细胞样室组成的合成组织，通过机械束缚（即自组装块共聚物微凝胶（BCP）作为合成细胞骨架）和选择性转运（即蛋白质 - 含有蛋白质 - 富集的生物含量膜（BMS）AS PISSECTIVE BARMBRANES（BMS）AS PISSECTIVE BARMBRANES（BM），机理并融合了刺激反应性（例如，通过聚合物和膜蛋白）到隔室中。计算方法结合了BCP的分子传输，刺激响应性的耦合变形，分阶粘附和生物膜力学，以预测组织样组件的失败行为，新兴特性和功能。理论，计算，BCP的合成，3D生物打印和微观机械表征之间的迭代反馈回路对于验证预测，告知模型开发和创建模块化数据库的项目至关重要。通过理解BCPS的可调疏水性和疏水性区域如何实现通过脂质和蛋白质基于蛋白质的BMS和可调机械性能的隔室化材料系统的构建：1）纳米级； 2）自组装和纠缠以在微观尺度上形成固体凝胶； 3）宏观上隔室之间的交联，以固定整个组件。最终，该项目将提供定量的知识库和模块化设计标准，以加速和使用分室化的组织样材料，这些材料具有多功能，刺激性反应性，适应性，强大，坚韧，并且在均衡之外运行。由工程局和数学和物理科学局材料研究局的民用，机械和制造创新部负责。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子来评估的支持的和更广泛的影响审查标准。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Plateau Rayleigh instability of soft elastic solids. Effect of compressibility on pre and post bifurcation behavior

DOI：
10.1016/j.eml.2022.101797
发表时间：
2022-06
期刊：
Extreme Mechanics Letters
影响因子：
4.7
作者：
B. Dortdivanlioglu;A. Javili
通讯作者：
B. Dortdivanlioglu;A. Javili

Locking treatment of penalty-based gradient-enhanced damage formulation for failure of compressible and nearly incompressible hyperelastic materials

DOI：
10.1007/s00466-023-02314-x
发表时间：
2023-03
期刊：
Computational Mechanics
影响因子：
4.1
作者：
A. Valverde-González;J. Reinoso;B. Dortdivanlioglu;M. Paggi
通讯作者：
A. Valverde-González;J. Reinoso;B. Dortdivanlioglu;M. Paggi

Modeling curvature-resisting material surfaces with isogeometric analysis

DOI：
10.1016/j.cma.2022.115649
发表时间：
2022-11
期刊：
Computer Methods in Applied Mechanics and Engineering
影响因子：
7.2
作者：
Animesh Rastogi;B. Dortdivanlioglu
通讯作者：
Animesh Rastogi;B. Dortdivanlioglu

A multiphysics model to predict periventricular white matter hyperintensity growth during healthy brain aging

预测健康大脑衰老过程中脑室周围白质高信号生长的多物理模型

DOI：
10.1016/j.brain.2023.100072
发表时间：
2023
期刊：
Brain Multiphysics
影响因子：
0
作者：
Caçoilo, Andreia;Dortdivanlioglu, Berkin;Rusinek, Henry;Weickenmeier, Johannes
通讯作者：
Weickenmeier, Johannes

Current status and future directions of self-assembled block copolymer membranes for molecular separations