Bioinspired Structural Composites: Advances in Experiments, Simulations, and AI Based Design

非技术摘要该奖项将支持2022年材料研究学会(MRS)春季会议上的一个专题讨论会，题为“生物灵感结构复合材料-实验、模拟和基于人工智能的设计的进展”(SF12)。该活动将于2022年5月8日至13日在HI火奴鲁鲁的夏威夷ʻI会议中心举行，以及5月23日至25日的虚拟夫人春季会议期间举行。这次研讨会将汇集许多世界领先的生物启发复合材料研究专家，该研究在功能材料、国防、航空航天和商业交通技术方面有应用。此次活动还强调了人工智能(AI)和复合材料化学、物理和工程模拟方面的主题，这些主题在以前的会议上没有讨论过。研讨会将汇集来自跨学科和多样化研究社区的顶尖科学家、初级科学家和与会者，以促进在生物启发复合材料和复杂材料的数据驱动设计领域的交叉思想交流和新的合作。研讨会的目的是将多学科领域的进展整合到汇聚的研究工作中，以改善现有材料的性能，并发现新出现的有前途的材料，包括高通量和自动化的实验、计算和数据驱动的发现。该奖项将支持2022年5月8日至13日在夏威夷火奴鲁鲁的夏威夷ʻI会议中心以及5月23日至25日举行的“生物灵感结构复合材料-实验、模拟和基于人工智能的设计的进展”(SF12)研讨会。研讨会旨在将与结构和功能复合材料相关的不同研究领域的科学家和工程师联系起来，如物理、材料科学、生物、聚合物科学、生物工程、化学、机械工程和数据科学，以推动尖端研究工具和设计用于交通、飞行器、航空航天、电子和医疗器械技术的创新材料。其贡献将包括定制材料界面和分层设计、利用电子显微镜(STEM、EELS和电子断层扫描)、扫描探针显微镜(AFM、AFM-IR、峰力显微镜、K-AFM、STM-AFM、C-AFM)、荧光显微镜、光谱学和纳米X射线断层扫描来可视化和评估从原子到米的多个长度尺度上的形态-性质关系的研究进展。此外，来自自然、生物学和生物工程的灵感将成为研讨会不可分割的一部分。将介绍数据分析、自主优化、多尺度模拟(量子力学、原子学、粗粒度)和人工智能方面的最新进展，以更好地了解分子和界面相互作用、化学反应动力学、不同相(结核、非晶、晶体、交错)的生长和性能预测。通过演讲和讨论，研讨会将促进融合传统和高通量实验、医学应用、数据科学、模拟和ML方法的研究工作的进展。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。

Non-technical AbstractThis award will support a symposium at the 2022 Spring Meeting of the Materials Research Society (MRS), entitled “Bioinspired Structural Composites—Advances in Experiments, Simulations and AI-Based Design” (SF12). The event will be held during May 8-13, 2022, at the Hawaiʻi Convention Center in Honolulu, HI, as well as during the Virtual MRS Spring Meeting during May 23-25. The symposium will bring together many of the world’s leading experts in bioinspired composites research, which has applications in functional materials, defense, aerospace, and commercial transportation technologies. The event also emphasizes topics from artificial intelligence (AI) and simulation in chemistry, physics and engineering of composites that have not been covered in previous meetings. The symposium will bring together leading scientists, junior scientists, and attendees from an interdisciplinary and diverse research community to foster cross-cutting idea exchange and new collaborations in the topical area of bioinspired composite materials and data-driven design of complex materials. The aim of the symposium is the integration of advances in multidisciplinary areas into convergent research efforts to improve the performance of existing materials and uncover emergent promising materials, including high-throughput and automated experiments, computation, and data-driven discovery. NSF funds will help to broaden participation at the symposium and will support speakers and attendees with an emphasis on including women and under-represented minorities.Technical AbstractThis award will support the symposium on “Bioinspired Structural Composites—Advances in Experiments, Simulations and AI-Based Design” (SF12), to be held May 8-13, 2022, at the Hawaiʻi Convention Center in Honolulu, HI, as well as during the Virtual MRS Spring Meeting during May 23-25. The symposium aims at connecting scientists and engineers with expertise in different research fields related to structural and functional composites, such as physics, materials science, biology, polymer science, bioengineering, chemistry, mechanical engineering, and data science to advance cutting-edge research tools and design innovative materials for transportation, aerial vehicles, aerospace, electronics, and medical device technology. Contributions will include tailoring material interfaces and hierarchical design, advances in characterization using electron microscopy (STEM, EELS, and electron tomography), scanning probe microscopy (AFM, AFM-IR, peak force, K-AFM, STM-AFM, C-AFM), fluorescence microscopy, spectroscopy, and nano X-ray tomography to visualize and assess morphology-property relationships at multiple length scales from atoms to meters. In addition, there will be contributions that focus on inspiration from nature, biology, and bioengineering will form an integral part of the symposium. Recent developments in data analysis, autonomous optimization, multiscale simulation (quantum-mechanical, atomistic, coarse-grained) and AI for a better understanding of molecular and interfacial interactions, chemical reaction kinetics, growth of different phases (nodules, amorphous, crystalline, interdigitated), and property predictions will be presented. Through presentations and discussions, the symposium will foster advances in convergent research efforts that integrate traditional and high-throughput experiments, applications in medicine, data science, simulation, and ML methods.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.