AI 中文总结
研究旨在借助计算建模改善心脏病相关研究。核心方法是用C++编写的开源并行有限元求解器svMultiPhysics，它能统一模拟多物理场心血管问题的方程，可独立或耦合求解。主要贡献是为心血管研究提供强大平台，实现多物理场耦合模拟，加速模拟且促进开源协作。
AI 中文摘要
在美国，心脏病仍是首要死因，促使人们努力改善其诊断、治疗和预防。过去十年，计算建模成为心血管研究的有力工具。svMultiPhysics是用C++编写的开源并行有限元求解器，专为多物理场心血管问题设计。它为模拟控制固体力学、流体动力学、扩散和心脏电生理学的偏微分方程提供统一框架，方程可独立或耦合求解。其优势在于能无缝耦合多个物理模块，研究复杂非线性系统，如捕捉心脏电生理、心肌组织力学和血流动力学的相互作用。初步GPU模拟显示，特定线性求解器配置下，相比基于CPU的模拟，壁钟加速约30倍。svMultiPhysics提供了强大、可扩展且免费的平台，作为SimVascular开源项目的主要3D求解器，是心血管系统基于图像的患者特定建模的端到端开源软件生态系统的关键组件，在GitHub上维护和开发，促进了透明度、可重复性和协作。
英文摘要
Heart disease remains the leading cause of death in the United States, motivating extensive efforts to improve its diagnosis, treatment, and prevention. Over the past decade, computational modeling has emerged as a powerful tool to advance cardiovascular research by enabling detailed, patient-specific studies of cardiac physiology and pathology. svMultiPhysics is an open-source, parallel finite element solver written in C++ specifically designed for multiphysics cardiovascular problems. It provides a unified framework for simulating the partial differential equations that govern solid mechanics, fluid dynamics, diffusion, and cardiac electrophysiology. These equations can be solved independently or in a coupled fashion, allowing researchers to investigate interactions between physical processes in a modular yet integrated way. The solver's main strength lies in its ability to seamlessly couple multiple physics modules, enabling the study of complex, highly nonlinear systems. For example, svMultiPhysics can capture the interplay between cardiac electrophysiology, myocardial tissue mechanics, and blood flow dynamics, processes that are essential to understanding vascular and cardiac physiology and function in health and disease. Preliminary GPU-enabled simulations show up to approximately $30\times$ wall-clock speedup for selected linear solver configurations over CPU-based simulations. By offering a robust, extensible, and freely available platform, svMultiPhysics empowers researchers to explore multiphysics problems in cardiovascular science. As the primary 3D solver in the SimVascular open source project, it forms a key component of an end-to-end open source software ecosystem for image based patient specific modeling in the cardiovascular system. It is maintained and openly developed on GitHub, fostering transparency, reproducibility, and collaboration.
