Center for Advanced Materials & Manufacturing (CAMM)

非技术摘要：先进材料与制造中心(CAMM)是位于诺克斯维尔的田纳西大学(UT)的材料研究科学与工程中心(MRSEC)，专注于探索、发现和设计对能源、交通和安全进步具有关键社会意义的新材料。CAMM汇集了来自不同领域的专家，在两个领域取得了突破性的发现：(1)用于未来量子技术的材料，(2)用于极端条件的先进材料。为了应对这些挑战，CAMM利用人工智能(AI)的最新进展以及中子散射、材料合成和建模。跨学科研究小组(IRG)1致力于通过使用人工智能来加速对量子材料和系统的理解、设计和控制，预计将在能量收集、低功率电子、量子计算和新型传感应用的材料设计方面取得进展。CAMM的第二个IRG专注于开发能够承受核聚变和高超声速防御系统所需的极端温度和压力的材料。这些应用需要当今无法获得的高性能结构材料，CAMM研究人员正在加深对结构、性能和加工关系的了解，以发现能够在如此恶劣的操作环境中运行的具有优异性能的新材料和增强型材料。CAMM的核心是研究、创新和学习的文化。该中心为本科生和研究生以及博士后实习生提供机会，为成为学术界、工业界和国家实验室的研究人员、企业家和创新者的职业生涯做准备。这些学生获得了从事人工智能发现和创新所需的技能和知识。CAMM致力于促进多样性、公平性和包容性，并与美国东南部的少数族裔服务机构密切合作，解决STEM领域缺乏多样性的问题。CAMM提供协作研究和技术转换机制，以及在人工智能和极端条件下访问独特的研究资源和共享设施，使其成为美国推进科学知识和创新的重要中心。技术摘要：先进材料与制造中心(CAMM)解决两个关键挑战：(1)如何克服目前阻碍进步的量子材料的复杂性(跨学科研究小组1(IRG1))；以及(2)实现能够满足未来技术所需的极端性能特征的结构材料(IRG2)。IRG1专注于将人工智能应用于量子磁性材料和工程量子系统，以支持材料的合理设计和应用。它开发基于人工智能的工具来处理复杂的量子相和物理行为。IRG2探索了极端条件对高性能结构材料的稳定性、结构和性能的影响，阐明了这些新系统的材料范式。这些材料对于广泛的能源、运输和安全应用至关重要。四种相互关联的研究方法-中子散射；建模、模拟和人工智能；现场实验；以及材料联合设计-将IRGS与机器学习的应用和发展联系在一起，提供数学、分析和数据科学工具，以在数据和模拟中发现模式，并实现优化和自主发现。CAMM包括一个量身定做的研究生教育模式和课程，将人工智能应用于材料和制造发现，以及一个面向本科生的研究体验项目，让不同的本科生干部接触到发现的喜悦和研究生教育创造的广泛职业机会。它与包括历史悠久的黑人学院和大学在内的合作伙伴合作，以增加参与研究经历、教育、创业和创新的人数不足的学生的数量。CAMM还利用了德克萨斯大学强大的企业合作伙伴计划，并参与了东田纳西州丰富的创新生态系统。此外，它还利用田纳西大学和橡树岭国家实验室之间独特的战略合作伙伴关系，加强材料科学和工程界之间的合作。CAMM通过向研究人员提供新的实验和人工智能能力；在量子和极端材料的下一代方法方面培训未来的研究人员；以及推动从低功率电子和量子传感器到核聚变和高超声速系统的技术前沿。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。

Nontechnical Abstract: The Center for Advanced Materials & Manufacturing (CAMM), a Materials Research Science and Engineering Center (MRSEC) at the University of Tennessee (UT), Knoxville, focuses on the exploration, discovery, and design of new materials with properties of critical societal importance for energy, transport, and security advancements. CAMM brings together experts from diverse fields to make groundbreaking discoveries in two areas: (1) materials for future quantum technologies, and (2) advanced materials for extreme conditions. To tackle these challenges, CAMM utilizes the latest advances in artificial intelligence (AI) together with neutron scattering, materials synthesis, and modeling. Interdisciplinary research group (IRG) 1 is dedicated to accelerating the understanding, design, and control of quantum materials and systems through the use of AI with advances expected in the design of materials for energy harvesting, low-power electronics, quantum computing, and novel sensing applications. CAMM’s second IRG focuses on developing materials that can withstand extreme temperatures and pressure needed for nuclear fusion and hypersonic defense systems. These applications require high-performance structural materials not available today, and CAMM researchers are increasing the understanding of the structure, properties, and processing relationship to uncover new and enhanced materials with superior properties capable of performing in such harsh operating environments. At the core of CAMM is a culture of research, innovation, and learning. The center provides opportunities for undergraduate and graduate students, as well as postdoctoral trainees, to prepare for careers as researchers, entrepreneurs, and innovators in academia, industry, and national laboratories. These students gain the necessary skills and knowledge to engage in AI-enabled discovery and innovation. CAMM is committed to promoting diversity, equity, and inclusion and works closely with minority serving institutions in the Southeast US to address the lack of diversity in STEM fields. CAMM offers mechanisms for collaborative research and technology translation as well as access to unique research resources and shared facilities in AI and extreme conditions making it an important center for advancing scientific knowledge and innovation in the country.Technical Abstract: The Center for Advanced Materials & Manufacturing (CAMM) addresses two critical challenges: (1) how to overcome the complexity of quantum materials that currently hinders progress (interdisciplinary research group 1 (IRG1)); and (2) realizing structural materials capable of the extreme performance characteristics needed for future technologies (IRG2). IRG1 focuses on applying AI to quantum magnetic materials and engineered quantum systems supporting the rational design of materials with applications. It develops AI-based tools to handle complex quantum phases and physical behavior. IRG2 explores the effects of extreme conditions on stability, structure, and properties of high-performance structural materials, elucidating the materials paradigm for these novel systems. These materials are vital for a broad spectrum of energy, transport, and security applications. Four interrelated research methodologies – neutron scattering; modeling, simulations, and AI; in situ experiments; and materials co-design – connect the IRGs, with application and development of machine learning providing mathematical, analysis, and data science tools to find patterns in data and simulations and enable optimization and autonomous discovery. CAMM includes a tailored graduate education model and curriculum incorporating the use of AI in materials and manufacturing discovery, and a Research Experiences for Undergraduate program that exposes diverse cadres of undergraduate students to the joy of discovery and the wide-ranging career opportunities created by graduate education. It engages partners including Historically Black Colleges and Universities, to increase the number of underrepresented students participating in research experiences, education, entrepreneurship, and innovation. CAMM also leverages UT’s strong corporate partnership program and engages East Tennessee’s rich innovation ecosystem. Further, it leverages the unique strategic partnership of the University of Tennessee and Oak Ridge National Laboratory to strengthen collaborations among materials science and engineering communities. CAMM impacts the nation by making new experimental and AI capabilities available to researchers; training future researchers in next-generation approaches to quantum and extreme materials; and advancing the frontier of technologies from low power electronics and quantum sensors to nuclear fusion and hypersonic systems.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.