国家生态安全屏障建设是维系我国生态、粮食与水资源安全，保障工农业生产和新型城镇化建设，实现“绿水青山就是金山银山”关键所在。由于强烈的人为与自然干扰及生态工程本身存在的诸多问题，林草生态系统结构失衡、调节能力下降、屏障功能退化，对我国生态安全和经济发展与脱贫致富造成了严重威胁，成为限制区域可持续发展的瓶颈。如何维系生态安全屏障功能高效、稳定与可持续是国家面临的重大需求。本次报告将从森林培育-建造-评估理论与技术体系等讲述演讲者对国家生态安全屏障建设的思考，主要内容包括：森林演化史就是人类文明发展史；筑牢北方生态安全屏障(三北工程)；夯实国家生态安全根基(天保工程)。

塑料污染已成为环境破坏的元凶之一。数据显示，1950到2015年间全球累计生产83亿吨塑料，仅有不到9%被回收，其余63亿吨或被焚烧或散落自然。焚烧释放的二氧化碳加剧温室效应，而遗弃的塑料逐渐裂解为微塑料——它们不仅入侵海洋，更飘散在空气和土壤中，威胁整个生态系统。尽管改进塑料材质等方案不断涌现，我们团队认为需要更彻底的解决之道。我们的突破口是超分子聚合物这一前沿概念。2024年底，我们成功研发了基于盐桥离子单体对的"超分子塑料"。这种创新材料在自然环境中遇盐即分解为单体，可被微生物完全降解，从根源上杜绝微塑料产生。令人惊喜的是，它的坚固程度丝毫不逊于传统塑料。最新进展中，我们利用双电层聚合技术，制造出仿丝瓜结构的超轻网状薄膜，助力可持续发展。 One of the major issues causing environmental destruction is plastic waste. Between the years 1950 and 2015, we produced 8.3 billion tons of plastic, yet less than 9% was recycled. 6.3 billion tons became waste, either incinerated or discarded into the natural environment. When burned, plastic emits carbon dioxide, which accelerates global warming. When discarded, plastic degrades into microplastics, which spread not only in the oceans but also in the air and soil, harming ecosystems—including humans. While many strategies, such as improving plastic materials, have been explored to address the plastic waste problem, we believe a fundamentally new strategy is necessary. We focused attention on the concept of supramolecular polymers, which I have tightly committed from the beginning. At the end of November 2024, we reported supramolecular plastics, as a strategic extension of the concept of supramolecular polymers using salt-bridge-forming ionic monomer pairs. This new class of polymeric materials disassembles into monomers when exposed to salts in the natural environment and is then metabolized by microorganisms. Unlike conventional plastics, supramolecular plastics do not generate microplastics. Despite their eco-friendly characteristics, these plastic materials possess mechanical properties that are comparable or even better than those of conventional plastics. More recently, we have reported a loofah sponge-like, lightweight reticular membrane by using an electric double-layer as the polymerization medium, which also contributes to the realization of a sustainable future.

人工智能正在迈向全新的“体验时代”。从早期的复杂游戏（如围棋、Dota2）到近期的大模型推理中取得里程碑式的突破，强化学习已经证明了其作为实现通用智能核心路径之一的巨大潜力。它标志着AI研究范式的根本性转变——从依赖静态、被动的数据集进学习，转向让智能体在动态、交互的“体验”中通过试错进行规划与决策。本次讲座将探讨先进强化学习的前沿思想与技术挑战，探讨如何突破范式，实现通用人工智能的宏伟目标。 Artificial intelligence is entering a new "era of experience." From early complex games like Go and Dota 2 to recent milestone breakthroughs in reasoning with large models, reinforcement learning has demonstrated its immense potential as one of the core pathways toward achieving general intelligence. It signifies a fundamental shift in AI research paradigms—moving from learning reliant on static, passive datasets to enabling intelligent agents to plan and make decisions through trial and error in dynamic, interactive "experiences." This lecture will explore the cutting-edge ideas and technical challenges in advanced reinforcement learning, delving into how to break through existing paradigms and achieve the grand goal of artificial general intelligence.

材料学一直面临着体系复杂度高、数据标准化程度低、研究链条长等问题，人工智能（AI）技术擅长处理高维度、多尺度数据，能够发掘参数之间的复杂关联，为解决材料学研究目前的困境提供了可能。在本报告中，我们提出了“数据-模型-算力”深度融合、“数据+知识”双驱动、“端到端”的材料研发三种范式。我们相信，AI能够帮助科研人员获得跨领域的知识和思维、释放创新潜能，成为覆盖材料基础研究到产品化全流程的有效工具，为材料学研究带来一个快速发展的全新未来。

本报告试图通过数、形、变化、数学的智慧、观念与信念等主题讲述数学的一些思想和自己对数学的一些思考。

报告从力学科学与实践的若干突出范例的讲解出发，展现出力学在推动工程科学前沿进展及解决重大工程问题中的关键作用。主要内容包括：20世纪力学十大成就回顾；深空及超大型材料结构的可能灾变；热障涂层体系的热冲击灾变断裂；深海纤维复合材料结构的失稳；先进材料结构的极限强度设计原理及方法；EB-PVD热障涂层的接触失稳；深地巷道失稳的复合结构防护分析；总结及展望。

Research is a never-ending journey of knowledge. The true meaning lies not in reaching the destination, but in the encounters and experiences that make the journey itself worthwhile. In postwar Japan, still in the midst of reconstruction, I was eleven years old when I became fascinated by Hideki Yukawa—Japan’s first Nobel laureate—and awakened to the wonders of science. Learning that “nylon can be made from coal, water, and air” filled me with awe at the power of chemistry and inspired me to pursue a life in research. During my academic career, I had the opportunity to make various discoveries and inventions, and in 2001, I was honored to receive the Nobel Prize in Chemistry for my work on asymmetric catalytic hydrogenation. I remain profoundly grateful for the educational and research environments that shaped me into a genuine scientist. Science advances ceaselessly, creating a shared intellectual legacy for humankind. The purpose of superior science and technology is to enrich people’s lives, foster the prosperity of society, ensure the safety and peace of nations, and sustain the survival of human civilization. Yet, looking back—and even today—the ambitions of nations have repeatedly ignited wars and exhausted societies. At the same time, the accumulation of excessive personal desires is causing irreparable environmental destruction and threatening the very foundation of civilization. Why has it come to this—and where are we headed? As a senior scientist, I wish to engage in dialogue with the young people of Shanghai who will shoulder the future of civilized society. 科研是一段永无止境的求知之旅。它的真正意义不在于抵达终点，而在于旅途中那些让过程本身变得有价值的邂逅与经历。 在战后尚处重建时期的日本，我十一岁时便为日本首位诺贝尔奖得主汤川秀树所深深吸引，由此被科学的奇妙世界所唤醒。当我得知“尼龙可以由煤、水和空气制成”时，心中充满了对化学力量的敬畏，也因此立志投身科研的一生。 在我的学术生涯中，我有幸取得了一系列发现与发明，并于2001年因在不对称催化加氢反应方面的研究成果而荣获诺贝尔化学奖。我始终心怀感激，感谢那些让我成长为一名真正科学家的教育与科研环境。 科学在不断进步，为人类创造着共同的智慧遗产。卓越的科学与技术，其目标应是丰富人们的生活，促进社会繁荣，保障国家安全与和平，并维系人类文明的延续。 然而回首过去——乃至当下——我们看到国家间的野心一次又一次点燃战争、耗尽社会资源；同时，过度的个人欲望积累也正在造成不可逆的环境破坏，动摇着文明的根基。 为什么会走到这一步？人类又将何去何从？作为一名资深科学家，我希望能与肩负文明社会未来的上海青年展开一场真诚的对话。

鉴于框架化学（MOFs与COFs）所能构筑的化学结构与材料体系极为丰富，并且具备高度可设计性与可控性，当下正是引入大语言模型与机器学习技术的最佳时机。这些工具能够帮助我们实现从分子到材料、从材料到社会应用的快速连接，推动新材料在清洁空气、清洁水源、催化与生物医药等领域的创新应用。AIMATRY是一个全新的科学领域，它将人工智能与材料化学深度融合，不仅用于设计新材料，更重要的是在于把期望的性能精准对应到具体的化学结构上。 AIMATRY的核心目标，是为人工智能在材料发现与研究中的系统性应用奠定基础，使新材料的研发能够变得更快、更优、更经济，也更加绿色可持续——突破以往科学研究的速度与边界。本次报告还将分享多元MOFs与COFs如何凭借其可调结构与复杂功能成为 AIMATRY理想的研究对象，并展示它们在推动智能材料设计和未来可持续科技中的巨大潜力。 Given the vast possible chemical structures and materials resulting from reticular chemistry (MOFs and COFs) and the flexibility with which they can be designed and produced, it is timely to deploy large language models and machine learning for rapidly connecting the molecule to the material to societal applications, ranging from clean air, clean water to catalysis and biomedicine. AIMATRY is a new field of science where AI is used for the design of new materials and critically for connecting a desired property to a specific chemical structure. AIMATRY’s goals are to lay the foundations for productive use of AI in discovery and study of new materials, and to ultimately produce materials faster, better, cheaper and greener than has ever been possible. I also will share how multivariate MOFs and COFs constitute ideal objects for AIMATRY.