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

该奖项将支持材料研究学会（MRS）2022年春季会议上的一个研讨会，题为“生物启发结构复合材料-实验，模拟和基于AI的设计进展”（SF 12）。该活动将于2022年5月8日至13日在夏威夷檀香山的夏威夷会议中心举行，以及5月23日至25日的虚拟MRS春季会议期间举行。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，航空航天和商业运输技术中有应用。该活动还强调了人工智能（AI）和化学，物理和复合材料工程模拟的主题，这些主题在以前的会议中没有涉及。研讨会将汇集来自跨学科和多样化研究社区的领先科学家，初级科学家和与会者，以促进生物启发复合材料和复杂材料数据驱动设计主题领域的跨领域思想交流和新合作。研讨会的目的是将多学科领域的进展整合到融合的研究工作中，以提高现有材料的性能，并发现新兴的有前途的材料，包括高通量和自动化实验，计算和数据驱动的发现。NSF的资金将有助于扩大研讨会的参与范围，并将支持演讲者和与会者，重点是包括妇女和代表不足的少数民族。技术摘要该奖项将支持将于2022年5月8日至13日在夏威夷檀香山夏威夷会议中心举行的“生物启发结构复合材料-实验，模拟和基于AI的设计进展”（SF 12）研讨会，以及5月23日至25日期间的虚拟MRS春季会议期间。该研讨会旨在将科学家和工程师与结构和功能复合材料相关的不同研究领域的专业知识联系起来，如物理学，材料科学，生物学，聚合物科学，生物工程，化学，机械工程和数据科学，以推进尖端研究工具并为运输，飞行器，航空航天，电子和医疗器械技术设计创新材料。贡献将包括定制材料界面和分层设计，使用电子显微镜（STEM，EELS和电子断层扫描）表征的进展，扫描探针显微镜（AFM，AFM-IR，峰值力，K-AFM，STM-AFM，C-AFM），荧光显微镜，光谱学和纳米X射线断层扫描，以可视化和评估从原子到米的多个长度尺度的形态-性质关系。此外，将有专注于从自然，生物学和生物工程的灵感的贡献将成为研讨会的一个组成部分。数据分析、自主优化、多尺度模拟（量子力学、原子、粗粒）和人工智能方面的最新进展，以更好地理解分子和界面相互作用、化学反应动力学、不同相（结核、非晶、结晶、交叉）的生长将被呈现）和属性预测。通过演讲和讨论，该研讨会将促进融合研究工作的进展，将传统和高通量实验，医学应用，数据科学，模拟和ML方法相结合。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.