Collaborative Research: Elements: Multiparticle collision dynamics simulations of mesoscale hydrodynamic interactions in complex soft materials and environments

合作研究：元素：复杂软材料和环境中中尺度流体动力学相互作用的多粒子碰撞动力学模拟

• 批准号: 2310724
• 负责人: Michael Howard
• 金额: $ 43.04万
• 依托单位: Auburn University
• 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: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2310724&HistoricalAwards=false
• 关键词: Collaborative; Research; Elements; Multiparticle; collision

Accurate prediction of the properties and behavior of soft materials, such as nanoparticles and polymers, suspended in a solvent (e.g., water) is critical for addressing numerous societal challenges, including improving the efficiency of wastewater treatment technologies, processing advanced materials for energy applications, and effectively delivering drugs to specific locations within the body. This project will significantly improve publicly available software for modeling these systems by implementing state-of-the-art algorithms to represent the behavior of many types of nanoparticles that can currently be fabricated, to describe fluid flows near the complex solid surfaces encountered in many engineering applications, and to predict important mechanical properties of soft materials and complex fluids that are needed for process design. This software will provide scientists around the world with new modeling capabilities that advance capabilities for predicting properties of soft materials and accelerate scientific discovery. The research team will engage with other scientists and the broader public by organizing workshops on using the software, making training materials freely available online, and conducting a variety of outreach activities. This project will also help create an inclusive workforce with the necessary skills for developing sustainable scientific cyberinfrastructure by training and mentoring graduate & undergraduate students from underrepresented backgrounds on software development, high-performance computing, and advanced modeling methods.This project will add transformative new features for performing multiparticle collision dynamics (MPCD) simulations to HOOMD-blue, a general-purpose particle-based simulation package. MPCD is a state-of-the-art mesoscale method for efficiently modeling solvent-mediated hydrodynamic interactions in soft materials and complex fluids. The project will focus on three important area-specific aims that are expected to have a significant impact on scientific applications and broader adoption of the MPCD method: (1) to implement MPCD-compatible rigid-body integrators for simulating complex solutes; (2) to implement a new algorithm, adapted from graphics processing, for modeling geometrically complex solid boundaries that simulate transport in confined geometries; and (3) to implement nonequilibrium methods that employ time-dependent boundary conditions to characterize the rheological properties of soft materials. The primary outcome will be open-source software with advanced features that will supplant the private, in-house codes that are currently used by different researchers, thereby enhancing the transparency and reproducibility of MPCD simulations. The project will also lead to innovation in cyberinfrastructure by integrating approaches and tools from different spaces (e.g., graphics processing) into physics-based modeling and by developing optimal parallel algorithms and implementations for state-of-the-art MPCD methods for both CPU and GPU computing architectures.This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Division of Chemical, Bioengineering, Environmental, and Transport Systems within the NSF Directorate for Engineering.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.

准确预测悬浮在溶剂中的软材料（如纳米颗粒和聚合物）的性质和行为（例如，水）对于应对众多社会挑战至关重要，包括提高废水处理技术的效率，加工用于能源应用的先进材料，以及将药物有效地输送到体内的特定位置。该项目将通过实施最先进的算法来显着改进用于建模这些系统的公开软件，以表示目前可以制造的许多类型的纳米颗粒的行为，描述在许多工程应用中遇到的复杂固体表面附近的流体流动，并预测工艺设计所需的软材料和复杂流体的重要机械性能。该软件将为世界各地的科学家提供新的建模能力，提高预测软材料性能的能力，并加速科学发现。该研究小组将通过组织关于使用该软件的讲习班、在线免费提供培训材料以及开展各种外联活动，与其他科学家和广大公众进行接触。该项目还将通过培训和指导来自软件开发，高性能计算和高级建模方法的代表性不足背景的研究生本科生，帮助创建具有开发可持续科学网络基础设施所需技能的包容性劳动力&。该项目将为HOOMD-blue，一个通用的基于粒子的模拟软件包。MPCD是一种最先进的介观方法，用于有效地模拟软材料和复杂流体中溶剂介导的流体动力学相互作用。该项目将侧重于三个重要的特定领域目标，预计这些目标将对科学应用和更广泛地采用MPCD方法产生重大影响：（1）实施与MPCD兼容的刚体积分器，用于模拟复杂溶质;（2）实施一种新的算法，该算法改编自图形处理，用于模拟有限几何形状中的运输的几何复杂固体边界建模;和（3）实现非平衡方法，采用时间相关的边界条件来表征软材料的流变特性。主要成果将是具有先进功能的开源软件，这些软件将取代目前由不同研究人员使用的私人内部代码，从而提高MPCD模拟的透明度和可重复性。该项目还将通过整合来自不同空间的方法和工具（例如，图形处理）转化为基于物理的建模，并为CPU和GPU计算架构开发最佳并行算法和最先进的MPCD方法实现。NSF高级网络基础设施办公室的这一奖项由化学，生物工程，环境，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。