直播时间：2024年10月15日（周二）20:00-22:00

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北京时间10月15日晚八点，iCANX Youth Talks第七十七期将隆重开播！本期，我们邀请到了中国科学技术大学特任研究员孙晓昊、哈尔滨工业大学教授张风华、香港科技大学（广州）助理教授岳亮主讲，威斯康星大学麦迪逊分校匡晓博士担任研讨嘉宾，南方科技大学葛锜教授担任主持人，期待你一起加入这场知识盛宴。

【嘉宾介绍】

孙晓昊

中国科学技术大学

机器学习助力4D打印智能结构的逆向设计

【Abstract】

Shape transformation of active composites (ACs) depends on the spatial distribution and active response of constituent materials. Utilizing voxel-level complex material distribution in 4D-printed ACs offers a vast possibility for attainable shape changes, while also posing a significant challenge in efficiently designing material distributions to achieve target shape changes. In this talk, I will present how to use machine learning to rapidly explore the design space and to obtain optimized designs for target shape changes. In this approach, we first use finite element simulations to obtain the deformed shape from randomly generated designs. The simulation results are then used to train machine learning models, which are then used with gradient-free evolutionary algorithm or gradient descent algorithm for the inverse design problem. We show that due to ultrahigh efficiency of machine learning models in the forward prediction problem, the machine learning-empowered design approach demonstrates high capabilities in designing various 4D-printed shape-morphing AC structures, such as active beams, lattices and plates. A streamlined design-fabrication paradigm based on hand-drawn target lines or scanned target surfaces is also demonstrated for different AC structures. Through these examples, we aim to shed light on the intelligent design and fabrication of 4D printing and shape-morphing structures.

机敏复合结构的形变依赖于组成材料的空间分布和机敏响应。4D打印结构的体素层级材料分布提供了巨大的可能形变空间，但如何设计材料分布以实现目标形变是一个巨大挑战。在本次报告中，我将介绍如何利用机器学习快速探索设计空间并实现高效逆向设计。在这一方法中，我们首先使用有限元仿真得到随机生成设计的变形形状，然后利用仿真结果来训练机器学习模型，接着与无梯度进化算法或梯度下降算法结合来解决逆向设计问题。我们展示了得益于机器学习模型正向预测的超高效率，由其驱动的设计方法在各种4D打印结构（如机敏复合梁、晶格和板结构）中展现了强大的变形设计能力。此外，我们还展示了基于目标手绘线或扫描曲面的一体化设计-制造策略。通过这些例子，我们旨在为4D打印及可变形结构的智能设计和制造提供新启发。

【BIOGRAPHY】

Dr. Xiaohao Sun, a specially appointed Professor in the Department of Modern Mechanics at University of Science and Technology of China (USTC). He obtained his bachelors and doctoral degrees from USTC in 2014 and 2019, respectively, under the supervision of Professor Hengan Wu. From 2019 to 2020, he conducted postdoctoral research at the University of Colorado Boulder, working with Professor Rong Long. From 2020 to 2024, he continued his postdoctoral research at the Georgia Institute of Technology, working with Professor Hang Jerry Qi. Dr. Suns research focuses on the mechanics of soft active materials, AI-driven inverse design for 4D printing, and programmable structures. He has published 31 SCI papers, with 17 as the first or corresponding author in prestigious journals such as Nature Communications, Journal of the Mechanics and Physics of Solids, Advanced Functional Materials, International Journal of Solids and Structures, and Matter. He holds one authorized patent. His work has been widely reported in Advanced Science News, the 4D Printing Society, and the Chinese Academy of Sciences.

孙晓昊博士，中国科学技术大学近代力学系特任研究员，博士生导师。分别于2014、2019年在中国科学技术大学获学士和博士学位，导师为吴恒安教授；2018-2020年在科罗拉多大学博尔德分校联合培养并开展博士后研究，合作导师为Rong Long教授；2020-2024年在佐治亚理工学院开展博士后研究，合作导师为Hang Jerry Qi教授。孙晓昊博士的主要研究方向包括智能软材料力学，人工智能驱动的4D打印逆向设计，可编程结构等。目前已发表SCI论文31篇，其中17篇以第一或通讯作者发表在Nature Communications、Journal of the Mechanics and Physics of Solids、Advanced Functional Materials、International Journal of Solids and Structures、Matter等知名期刊。授权发明专利1项。成果被中外多国院士及业内专家积极评价，被Advanced Science News、国际4D打印协会、中国科学院等报道。曾获得中国科学院院长奖，中国科学技术大学优秀毕业生等荣誉。

张风华

哈尔滨工业大学

可编程形状记忆复合材料：4D打印、结构及应用

【ABSTRACT】

Stimuli-responsive polymers refer to a kind of smart materials that are capable of changing shapes or sizes when subjected to external stimulus. As typical stimuli-responsive materials, shape memory polymers (SMPs) and their composites (SMPCs) have advantages like a fast response, long lifetime, high resilience, light weights, stretchability, low cost, and easy processing. These special features make them promising materials for sensors and actuators, with broad application potential in biomedical devices, deployable structures, smart textiles, etc. 4D printing allows the development of “living” adaptable structures from SMPs/SMPCs. We have developed a series of shape-morphing structures through 4D printing, including a vascular stent, vascular stent, and space-deployable structures. Moreover, the challenge and potential of 4D printing of shape memory polymers/composites are thoroughly discussed. It would not be an exaggeration to say that the 4D printing of active deformable structures, like shape memory composite structures, could lead to revolutionary developments in several areas.

形状记忆聚合物及其复合材料是一种激励响应的智能材料，它具有保持临时形状，在特定的外界环境激励（热、电、光、磁或射频等）下回复至其初始形状的能力。基于形状记忆材料制备的智能结构兼具了独特的形状记忆特性和轻质高强的特点，具有主动变形、自感知、自驱动、自修复等功能。在形状记忆聚合物复合材料及其智能结构设计和应用方面开展系列研究，设计多种形状记忆智能结构，在航天、生物医学、4D打印等领域得到初步应用。

【BIOGRAPHY】

Fenghua Zhang is a professor in the Center for Smart Materials and Structures at the School of Astronautics of Harbin Institute of Technology. She obtained her Ph.D. degree from Harbin Institute of Technology in 2017. From 2014 to 2016, she as a visiting scholar does her research work at the University of Cambridge (UK). She is focusing on Shape memory polymers, multifunctional nanocomposites, 4D printing, electrospinning fibers, stimuli-responsive microcapsules, smart structures and their biomedical applications. She has published more than 90 SCI scientific papers and 40 issued patents. She also served as a deputy Editor-in-chief of the International Journal of Smart and Nano Materials and as a Young Editorial Board Member of Research. She has been elected as a Committee Member of the Additive Manufacturing Medical Devices Committee, and a Committee Member of the Chinese Society for Composite Materials (CSCM).

张风华，哈尔滨工业大学教授，博士生导师。现任国际先进材料与制造工程学会（SAMPE）理事、中国材料研究学会纤维材料改性与复合技术分会理事、黑龙江省智能材料与结构系统学会理事、中国复合材料学会智能复合材料专业委员会秘书长、SAMPE智能复合材料专业委员会秘书长、中国医疗器械行业协会增材制造医疗器械专业委员会工学专家。担任International Journal of Smart and Nano Materials期刊副主编，Research等期刊青年编委。长期从事智能材料与结构方面研究，在AM, AFM, CEJ，SMALL等国际知名材料期刊发表SCI论文90余篇，授权国家专利40余项，撰写中英文著作4个章节。获2021年度“中国高等学校十大科技进展”（第5）

岳亮

香港科技大学(广州)

基于灰度光固化的多材料3D打印与形状编程4D打印

【ABSTRACT】

4D printing is a novel concept that emerges in recent years, benefiting from the rapid development of advanced 3D printing technologies and active materials. In 4D printing, upon external stimuli on demand, a 3D printed part can change its shapes as a function of time, which becomes the 4th dimension of the shape forming process. 4D printing offers the advantages of forming complicated 3D shapes from low dimensional structures, saving printing materials and printing times, etc. These make it suitable for applications including morphing structures, sensors, actuators, and soft robots. This talk will introduce the recent progress on grayscale digital light processing (g-DLP) techniques on multi-material 3D printing and it`s applications on shape morphing 4D printing.

4D打印是近年来出现的一个新概念，受益于先进的3D打印技术和活性材料的快速发展。在4D打印中，通过外部刺激，一个3D打印零件可以根据时间的变化而改变形状，这成为形状成型过程的第四维。4D打印具有从低维结构形成复杂3D形状、节省打印材料和打印时间等优势。其适用于包括变形结构、传感器、执行器和软体机器人在内的各种应用。本次报告将介绍灰度数字光处理（g-DLP）技术在多力学特征3D打印及形状变形4D打印中的相关应用。

【BIOGRAPHY】

Dr. Liang Yue is an Assistant Professor in the Smart Manufacturing Thrust at The Hong Kong University of Science and Technology (Guangzhou) and the PI of the Intelligent Polymer and Manufacturing Laboratory. He obtained his B.Eng degree in Polymer Engineering from Sichuan University, and his M.S. and Ph.D. degrees in Macromolecular Science and Engineering from Case Western Reserve University. He further conducted his postdoctoral research at the Georgia Institute of Technology before joining HKUST(GZ). Dr. Yues research interests focus on developing sustainable polymers, polymer composites and 3D/4D printing. He has co-authored 40 research articles, including 20 first-authored papers published in prestigious journals such as Nature Communications, Science Advances, Advanced Materials, JMPS, Macromolecules, and ACS Macro Letters. He has filed 8 U.S. patents and contributed to 3 academic books. Dr. Yue also serves as a youth editorial board member for the International Journal of Extreme Manufacturing and reviews manuscripts for journals including Nature Reviews Bioengineering, Advanced Materials, Advanced Functional Materials, Additive Manufacturing, and Macromolecules etc.

岳亮博士是香港科技大学（广州）智能制造学域的助理教授，智能高分子及制造实验室PI。他先后在四川大学高分子学院及美国Case Western Reserve University大分子系获本科和博士学位。在加入香港科技大学（广州）之前，他在美国佐治亚理工学院进行博士后研究。岳亮博士的研究方向主要为绿色高分子、高分子复合材料和3D/4D打印等。目前已发表40余篇学术论文，包括20篇以第一作者身份发表在Nature Communications, Science Advances, Advanced Materials, JMPS, Macromolecules和ACS Macro Letters等知名期刊，并已申请8项美国专利，参与3本学术书籍的章节撰写。岳亮博士还担任《International Journal of Extreme Manufacturing》青年编委会成员，并为包括Nature Reviews Bioengineering, Advanced Materials, Advanced Functional Materials, Additive Manufacturing和Macromolecules 的领域内权威期刊审稿。

【主持人】

葛锜

南方科技大学

【研讨嘉宾】

匡晓

威斯康星大学麦迪逊分校