人工智能辅助设计新材料效率倍增：开启材料科学新纪元 在科技飞速发展的今天，人工智能（AI）正以前所未有的速度渗透到各个领域，与新材料的结合更是碰撞出了令人惊叹的火 花，为材料科学带来了革命性的变革，显著提升了新材料的设计效率。 传统的新材料研发过程，犹如在茫茫大海中摸索前行。科研人员需要凭借经验和直觉，通过大量的实验试错来寻找合适的材料 配方和工艺参数。以智能纤维的研发为例，这种能随外界环境刺激发生体积或形态变化的新材料，可用于构筑可穿戴智能设 备。研发时，科研人员要先了解其刺激响应机理，建立物理模型解释；接着选择合适材料，运用化学手段改进功能单元，反复 实验摸索刺激响应条件；最后历经纺丝、染整、编织等不同处理流程，不断优化工艺。整个过程漫长且充满不确定性，一款新 材料的诞生往往需要数年甚至数十年时间。 而人工智能的介入，让这一过程变得高效而精准。AI凭借其强大的数据处理和学习能力，能够对海量材料数据进行深度分析和 挖掘。通过机器学习算法，AI可以快速建立材料结构与性能之间的复杂关系模型，对材料的物理化学性质进行精准预测和筛 选。英国利物浦大学的科研人员研发的机器人，在8天内自主设计化学反应路线，完成688个 ...

Group 1: AI and Intelligent Robotics - The integration of AI large models and embodied intelligence is emerging as a focal point for Beijing's technological innovation, with advancements in L3 assisted driving and humanoid robots beginning to take shape in the Beijing-Tianjin-Hebei region [2] - Embodied intelligence is recognized as a significant pathway to achieving general artificial intelligence, becoming a new competitive landscape and economic growth engine, with a focus on multi-modal perception technology and key components by 2027 [3][4] - The goal is to cultivate a hundred key technologies and produce at least ten world-leading hardware and software products by the end of 2027 [3] Group 2: New Materials and AI Integration - The demonstration of new materials, such as HVIP aerogel, showcases significant improvements in thermal insulation performance, achieving an 8-fold enhancement over traditional materials [5] - AI is transforming the research and development processes in materials science, with Beijing leveraging its advantages in talent and infrastructure to foster innovation in this field [5] - By 2027, Beijing aims to significantly enhance its capabilities in "AI + new materials" innovation, establishing itself as a global leader in this sector [5] Group 3: Healthcare and Medical Technology - The medical technology sector is highlighted by innovations such as the ROPA surgical robot, which utilizes AI for precision in orthopedic surgeries, addressing the imbalance in healthcare supply and demand [6][7] - Beijing's healthcare industry is projected to reach a scale of 1.06 trillion yuan in 2024, marking an 8.7% year-on-year growth, making it the first city in China to surpass the trillion yuan mark in this sector [7] - The city has implemented various policies to enhance its pharmaceutical and medical device industries, aiming to build an international medical innovation park by 2030 [7] Group 4: New Energy Vehicles - The new energy vehicle sector is a major highlight, with significant advancements in electric vehicle technology and production capabilities, including the launch of the "Extreme Fox Alpha S5" electric sedan [8][9] - Beijing has established three major research and production bases for new energy vehicles, with a target production exceeding 300,000 units by 2025 [9] - The city is recognized for its strong technological innovation capabilities in the new energy vehicle sector, supported by a robust talent pool and modern service industries [8] Group 5: Green Energy Development - Hydrogen energy is a key focus, with innovations in hydrogen storage and integrated energy systems that enhance the efficiency of renewable energy utilization [10][11] - Beijing aims to become an international benchmark city for green economy by 2035, with initiatives to develop a new power system and promote low-carbon industries [11] - The city has introduced various pioneering projects and standards in the green energy sector, positioning itself as a leader in sustainable development [11]

Group 1: Technological Innovation and Development - The 2025 Zhongguancun Forum highlights China's commitment to innovation-driven development, with R&D expenditure reaching 3.6 trillion yuan in 2024 and an R&D intensity of 2.68% [1] - China has established technology cooperation with over 160 countries and regions, signing 118 intergovernmental agreements, positioning Beijing as a strategic hub for technological innovation [2] - The forum showcased humanoid robots as a key focus, with applications in the automotive sector, emphasizing the importance of reducing data costs for large-scale industrialization [3][4] Group 2: Advancements in Electric Vehicles - The forum announced significant technological achievements, including the "AI + New Materials" initiative, with Xiaomi's automotive project utilizing advanced materials for enhanced vehicle performance [5] - Li Auto introduced its self-developed operating system, Li Xiang Star Ring OS, aimed at reducing BOM costs by billions annually, marking a significant step in automotive intelligence [6] - Beijing's efforts in promoting technology transfer have led to a thriving ecosystem with nearly 30,000 national high-tech enterprises and significant growth in strategic emerging industries like AI and electric vehicles [7] Group 3: Showcase of Smart New Energy Vehicles - The forum featured a dedicated exhibition area for smart connected new energy vehicles, with Xiaomi showcasing its SU7 models and various in-car products [8] - Innovative technologies such as the rubber-wheeled guided transit vehicle were highlighted, demonstrating advancements in public transport automation and energy efficiency [8][9] - The event underscored the automotive sector's role as a representative of new productive forces, showcasing China's rapid development in this field [9]

在促进成果转化方面，北京大力建设中关村世界领先科技园区，搭建科技成果协同转化平台，设立千亿产业引导资金。去年，北京技术合同成交额超 9000亿元，形成了新一代信息技术、科技服务业、医药健康三个万亿级产业集群。同时，人工智能人形机器人、新能源汽车等战略性新兴产业也再度发 展，为开发新技术、新场景，开辟发展新领域、新赛道提供了宝贵机遇。他还提到，目前，北京有国家级高新技术产业近3万家，专精特新"小巨人"企业 1035家，独角兽企业115家，形成了优良的科技创新生态系统，为海内外人才来京施展才华、成就梦想提供了沃土。 彰显科技创新实力 2025年3月27日，一场汇聚全球科技精英与创新力量的盛会——2025中关村论坛在北京盛大开幕。 此次论坛吸引了来自100多个国家和地区的嘉宾，他们齐聚一堂，共议科技前沿，共享创新理念，共促新质生产力发展，为深化国际交流合作、增进 人类共同福祉贡献创新力量。 共启科技创新未来 中共中央政治局委员、国务院副总理张国清发表致辞并宣布2025中关村论坛年会开幕。他提到，中国正在深入实施创新驱动发展战略，科技 创新和产业创新融合发展成果丰硕。2024年，中国研发经费支出达到3.6万亿元，研发 ...

Core Insights - Artificial intelligence is revolutionizing traditional industries, particularly in the field of new materials, with Beijing leading the way by hosting nearly one-third of the country's "AI + new materials" innovative enterprises [1][11]. Group 1: AI's Impact on Material Science - AI is redefining the research paradigm in material science, significantly enhancing research efficiency [2][3]. - Traditional material research, which often takes 20 to 30 years from discovery to application, is now being accelerated through AI technologies [1][4]. - For instance, a company was able to reduce the research and development cycle for a new electrolyte for electric vehicle batteries from 18 months to approximately 12 months, achieving a one-third reduction in time [3][4]. Group 2: Innovations in Smart Laboratories - Smart laboratories are transforming traditional research environments by automating processes such as material mixing, reaction monitoring, and data analysis, allowing for continuous operation without human intervention [4][5]. - These smart labs can conduct hundreds of automated experiments daily, significantly increasing research output compared to traditional methods [5][6]. - Tasks that previously took 10 to 20 days can now be completed in just 1 to 2 days due to automation and AI integration [6]. Group 3: Successful Applications and Developments - The integration of AI in new materials has led to notable achievements, such as Xiaomi's use of "Titanium Alloy" in their vehicles, which improved structural stability and reduced weight [7][8]. - Other significant developments include the creation of the world's strongest hydrogen-resistant thick plate material by China Steel Research and the design of a new generation of OLED materials without precious metals by the Beijing Academy of Science [8][9]. Group 4: Future Prospects and Strategic Plans - Beijing's strategic plan aims to enhance its "AI + new materials" innovation capabilities by 2027, targeting the development of 15 benchmark new materials products empowered by AI [11]. - The city is positioned as a hub for "AI for Science," leveraging its talent pool, application scenarios, and innovative ecosystem to drive advancements in material science [10][11].