CAREER: HayaRupu: Accelerating Natural Hazard Engineering with AI-Driven Discovery Loops

HayaRupu项目旨在通过人工智能(AI)加快工程和科学研究的进步，将滑坡灾害作为重点示范领域。这一倡议的核心是人工智能加速的科学发现循环，这是一个将人工智能集成到科学研究的每个阶段的框架，从知识发现到假设检验和建模。这种方法利用机器学习(ML)进行复杂的模式识别和异常检测，从而能够从复杂的数据集中提取新的见解。HayaRupu的一个重要关注点是通过构建背景感知知识图谱来识别和解决自然灾害工程中的知识差距。此外，该项目的创新之处在于将人工智能集成到数值模拟中，利用人工智能的速度和数值模拟的准确性来开发新的优化策略。物理感知的人工智能方法弥合了模拟环境和现实世界应用之间的差距。HayaRupu的方法举例说明了物理感知的人工智能如何加速科学进步。HayaRupu的一个关键方面是其教育推广，其中包括为工科学生创建新的人工智能辅助的可扩展和个性化学习。这一教育计划支持培养具有尖端人工智能技术技能的未来工程师，增强STEM领域的多样性，并为熟练掌握人工智能与自然灾害工程集成的劳动力做出贡献。HayaRupu框架(日语中FastLoop的意思)将通过应用人工智能(AI)促进知识发现来加速自然灾害工程(NHE)的发现，并通过物理感知AI技术加速下一代AI嵌入式模拟工具以进行亿级模拟。这项工作提供了新的人工智能解决方案，以加速自然灾害工程的发现。它有三个关键的智力优势：(I)上下文感知知识图作为推理引擎，使新的数据驱动的发现成为可能，并通过几何深度学习推导出基本的多尺度方程；(Ii)构建下一代人工智能加速的可微模拟器，提供解决逆问题和设计问题的新范式；(Iii)创建大型语言模型支持的健壮的端到端自动化工作流设计的集成框架，以展示人工智能在推动科学进步方面的潜力。HayaRupu正在开发一款个性化且可扩展的AI导师，通过为未来的工程师提供个性化的学习环境、测验和支持来改变工程教育。主要的教育推广举措包括在奥斯汀公共图书馆组织青少年代码俱乐部，在年轻学习者中促进计算和人工智能素养，并在低收入和代表性不足的社区提供有针对性的计划。此外，该项目还与Code@TACC计划合作，以激励高中生，特别是那些来自边缘背景的高中生，走向STEM职业。通过这些努力，HayaRupu促进了对科学的理解，并在科学和技术教育中培育了一个多样化和包容性的环境。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The HayaRupu project aims to accelerate advancements in engineering and scientific research through artificial intelligence (AI), utilizing landslide hazards as a key area for demonstration. Central to this initiative is the AI-accelerated scientific discovery loop, a framework that integrates AI into every stage of scientific inquiry, from knowledge discovery to hypothesis testing and modeling. This approach leverages machine learning (ML) for sophisticated pattern recognition and anomaly detection, enabling the extraction of new insights from complex datasets. A significant focus of HayaRupu is identifying and addressing knowledge gaps in natural hazard engineering by building a context-aware knowledge graph. Furthermore, the project innovates by integrating AI in numerical simulations, exploiting the speed of AI and the accuracy of numerical simulations to develop novel optimization strategies. The physics-aware AI methods bridge the gap between simulated environments and real-world applications. HayaRupu's approach exemplifies how physics-aware AI can accelerate scientific progress. A key aspect of HayaRupu is its educational outreach, which involves creating new AI-assisted scalable and personalized learning for engineering students. This educational initiative supports the development of future engineers with skills in cutting-edge AI technologies, enhancing diversity in STEM fields and contributing to a skilled workforce adept in integrating AI and natural hazard engineering.The HayaRupu framework (Japanese for FastLoop) will accelerate discoveries in natural hazards engineering (NHE) by applying Artificial Intelligence (AI) to facilitate knowledge discovery and accelerate NextGen AI-embedded simulation tools for exascale simulations through physics-aware AI techniques. The work provides novel AI solutions to accelerate discoveries in natural hazard engineering. It has three key intellectual merits: (i) context-aware knowledge graphs as reasoning engines to enable new data-driven discoveries and derive fundamental multi-scale equations through geometric deep learning, (ii) building the NextGen AI-accelerated differentiable simulators offering a new paradigm for solving inverse and design problems, (iii) creating an integrated framework of Large Language Model-enabled robust end-to-end automated workflow design to demonstrate the potential of AI in driving scientific advances. HayaRupu is developing a personalized and scalable AI tutor to transform engineering education by offering future engineers a personalized learning environment, quizzes, and support. Key educational outreach initiatives include organizing Tween Code Clubs at the Austin Public Library to promote computational and AI literacy among young learners and offering targeted programs in low-income and underrepresented communities. Additionally, the project collaborates with the Code@TACC program to inspire high school students, especially those from marginalized backgrounds, towards STEM careers. Through these efforts, HayaRupu advances scientific understanding and fosters a diverse and inclusive environment in science and technology education.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.