Core Insights - The research team at Shanghai Jiao Tong University has made significant advancements in new energy storage technology by developing a high-voltage, anode-free sodium-sulfur battery system, which addresses the limitations of traditional sodium-sulfur batteries in discharge voltage and safety [1][2]. Group 1: Technological Advancements - The new sodium-sulfur battery system achieves a discharge voltage of 3.6 volts, a substantial increase from the typical voltage of less than 1.6 volts seen in conventional batteries [1]. - The innovative approach eliminates the need for metallic sodium in battery production, significantly enhancing safety [1][2]. Group 2: Research and Development - The research introduces a catalytic activation strategy that facilitates the transition of sulfur from a low oxidation state to a high oxidation state, overcoming challenges associated with high-voltage conversion [2]. - This breakthrough not only enhances the performance of alkali metal-sulfur batteries but also provides a theoretical basis and technical support for developing low-cost, sustainable, and high-performance energy storage systems [2]. Group 3: Market Implications - The advancements in sodium-sulfur battery technology are expected to play a crucial role in large-scale energy storage, low-altitude economy, and artificial intelligence sectors, addressing significant market demands [2].

Core Viewpoint - Shanxi Province is implementing a comprehensive energy transformation plan, leveraging technology to transition from a coal-dominated economy to a diversified energy system, aligning with national energy revolution goals [1][2][3]. Group 1: Energy Transition and Innovation - The Shanxi government has issued an implementation opinion to accelerate energy technology innovation, providing a "Shanxi plan" for national energy transformation [1]. - Shanxi has become the first national pilot for comprehensive energy reform, focusing on energy technology innovation and system reform [1][2]. - As of now, Shanxi has established 369 intelligent coal mines and 75 green mining demonstration mines, with advanced coal production capacity accounting for 84% [2]. Group 2: New Energy Development - The province is constructing a new energy system, promoting the integration of traditional and renewable energy sources, and developing bases for clean energy and unconventional natural gas [2][3]. - The new energy base project in Jinbei will have a total construction scale of 10 million kilowatts, capable of delivering 27 billion kilowatt-hours of clean electricity annually to the Beijing-Tianjin-Hebei region [3]. Group 3: Modern Coal Chemical Industry - Shanxi is enhancing the coal chemical industry, with advanced coking capacity reaching 96.6%, and is focusing on high-value utilization of coal as a chemical raw material [4][5]. - The province is developing multiple energy technology innovation platforms and creating various coal chemical industry chains to transition coal from a single fuel to high-end chemical raw materials [4][5]. Group 4: Digital Transformation and Computing Power - Shanxi is leveraging its coal and green energy advantages to build a computing power ecosystem, integrating computing power with various industries [6]. - The province's computing power center revenue grew by 69.5% in the first half of 2025, with significant increases in the manufacturing and information technology sectors [6]. Group 5: Policy and Strategic Direction - The provincial government is committed to deepening the energy revolution and developing new productive forces in line with national directives [7].

Core Viewpoint - The successful development and deployment of the world's first high-altitude container bundling robot by Taiyuan Heavy Machinery Group marks a significant advancement in the integration of artificial intelligence with high-altitude work platforms, ushering in a new era of intelligent port operations [1][2]. Group 1: Product Development and Features - The high-altitude container bundling robot has passed acceptance testing at Ningbo Zhoushan Port and is now in production, showcasing the company's ability to innovate in high-end equipment technology [1]. - The robot integrates a high-altitude work platform, robotic arm system, and visual recognition capabilities, enabling a transition from manual to intelligent operations [1]. - The research team overcame several key technical challenges, enhancing the machine's environmental tolerance and addressing precision issues related to arm flexibility through real-time visual feedback and adaptive force control systems [1]. Group 2: Operational Efficiency and Safety - The primary goals of the robot's development were to ensure safety, improve efficiency, and reduce costs, particularly during the typhoon season when traditional methods are time-consuming and hazardous [2]. - The robot has demonstrated over a 100% increase in operational efficiency, significantly reducing the time required for bundling from 6-8 hours to a much shorter duration [2]. - The device has proven effective during the typhoon season, maintaining high efficiency in adverse weather conditions and also serving dual purposes for port construction and maintenance [2]. Group 3: Future Directions and Impact - The deployment of the high-altitude bundling robot exemplifies Taiyuan Heavy Machinery Group's commitment to innovation-driven development and the enhancement of new productive forces [2]. - The company plans to continue advancing its transformation towards intelligent and green technologies, contributing to the high-quality development of China's manufacturing industry and the establishment of a modern industrial system [2].

为验证新材料的长期稳定性，团队构建了自动化测试系统，在40天内对材料连续实施1000次"破坏—修 复"循环。每次实验均人为制造50毫米长的分层裂纹，随后触发加热自愈机制，并检测修复后的承载能 力。结果显示，该材料在经历千次循环后仍保持优异性能，抗断裂能力显著优于传统复合材料，且韧性 衰减极为缓慢，创下自愈次数的新纪录。 团队表示，在实际应用中，材料仅在遭遇冰雹、鸟撞等突发损伤或定期维护时才启动修复程序。据此推 算，此类部件理论上可持续使用达125年以上，甚至在500年内仅需修复4次即可维持功能稳定。 这项技术将大幅降低工业设备的维修成本与能源消耗，减少废弃部件带来的环境污染，对难以返修的航 天器具有革命性意义。 （文章来源：科技日报） 美国北卡罗来纳州立大学科学家研发出一种新型自愈复合材料，可实现上千次自我修复，预计能使飞机 机翼、风力涡轮叶片和航天器结构部件的寿命延长至数百年，远超现有材料几十年的设计周期。相关成 果发表于新一期《美国国家科学院院刊》。 目前广泛使用的纤维增强聚合物（FRP）复合材料，因其轻质高强特性，被广泛应用于飞机、汽车、风 力发电机和航天器中。但这类材料长期面临"层间分层"难题，即内部 ...

Core Viewpoint - The research team from Xi'an Jiaotong University has successfully addressed the key issue of zinc ion transport and electrochemical reaction mismatch in alkaline zinc-based flow batteries, providing an innovative solution for developing high-stability and long-lifetime zinc-based flow battery energy storage technology [1][2]. Group 1: Research Findings - The alkaline zinc-based flow battery is highlighted for its advantages of high safety, high voltage, and low cost, making it a research hotspot for long-duration energy storage technology in new power systems [1]. - The previous research primarily focused on single-dimensional electrolyte additive design, which struggled to collaboratively resolve the mismatch between ion transport and reaction kinetics [1]. - The innovative concept of "organic molecular differential lock" was proposed, utilizing L-serine as a multifunctional electrolyte additive to achieve precise control over the electrolyte phase and electrode interface [1]. Group 2: Performance Improvement - The alkaline zinc-iron flow battery employing this strategy can operate stably for over 230 hours at a current density of 50 mA/cm², significantly enhancing cycling stability [2]. - The research reveals the multiple action mechanisms of the Ser additive, providing new ideas and theoretical basis for performance optimization and engineering applications of zinc-based flow batteries [2].

此外，超表面由氮化硅和二氧化钛制成，可承受超过2000瓦/平方毫米的激光强度，约为地表太阳光的 100万倍，这为大规模俘获原子提供了条件。 实验中，团队构建了多种高度均匀的二维原子阵列，还制备了一块直径3.5毫米，包含超过1亿个像素的 超表面，可生成600×600阵列，总计36万个光镊，规模比现有技术提升两个数量级。 该技术不仅有望推动大规模量子计算发展，还可应用于量子模拟和高精度光学原子钟等中性原子量子技 术。 （文章来源：科技日报） 中性原子阵列是构建量子计算机的新兴平台。研究团队在实验中俘获1000个锶原子，并验证该方法可在 原理上扩展至10万个以上，这些原子未来或可作为量子比特使用。 原子在量子计算中具有天然优势，可稳定呈现量子叠加和纠缠等特性，且彼此完全一致，无需像固态量 子比特那样校准与同步。但难点在于如何实现大规模精确操控。 过去十多年，科学家通常利用空间光调制器或声光偏转器生成光镊阵列。单个光镊是一束高度聚焦的激 光，可将单个原子固定在焦点上，阵列则由许多光镊组成，但设备复杂、体积庞大，限制了阵列规模。 此次研究中，超表面像素尺寸小于200纳米，远低于所操控的520纳米激光波长，可在无需额外光 ...

Core Insights - The emergence of "Physical AI" is seen as a transformative phase in AI development, moving from generative AI to models that can understand and interact with the physical world [1][2] - Physical AI is expected to significantly impact various industries, including manufacturing, healthcare, and autonomous driving, by enabling machines to perform complex tasks in dynamic environments [3][5] Group 1: Definition and Evolution of Physical AI - Physical AI is defined as AI models that can perceive, understand, and execute tasks in the real world, integrating physical laws such as gravity and friction [2] - The evolution of AI is categorized into four stages: Perceptual AI, Generative AI, Agent AI, and Physical AI, with the latter focusing on the integration of AI with the physical world [2] Group 2: Applications in Industry - In manufacturing, Physical AI is advancing automation from fixed processes to dynamic adaptability, enhancing production efficiency and reducing energy consumption [3][4] - The integration of Physical AI in autonomous driving systems has improved capabilities in adverse weather conditions, with specific models showing a 30% enhancement in performance [4] - In healthcare, Physical AI is enhancing the precision of surgical robots, leading to significant reductions in surgical errors and improved patient outcomes [5] Group 3: Challenges and Considerations - The implementation of Physical AI faces challenges such as high costs associated with real-world data collection and the need for robust systems to handle unpredictable environments [6] - Ethical and legal considerations regarding accountability in the event of accidents involving AI-driven systems remain unresolved, necessitating the establishment of clear regulations [6] - Building trust in AI systems is crucial, as societal concerns about job displacement and decision-making transparency persist [6]

其中，最重要举措是新设"研发预算协商机制"，将以往依赖实务层非正式沟通的模式，升级为以局长级 为主、每月定期召开的常设协商会议。会议将围绕政府研发重点投资方向、支出效率化方案、新项目审 查等议题，按照预算不同阶段进行系统性讨论。 此外，双方将显著扩大预算编制过程中的相互参与度。在科学技术创新本部制定主要研发预算分配调整 方案时，企划预算处将提前介入共同审议；反之，在企划预算处进行最终预算编制阶段，也将建立机制 充分反映科学技术创新本部的专业意见。 （文章来源：科技日报） 为提升研发投资效率与政策一致性，韩国科学技术信息通信部协同企划预算处决定建立常设协商机制， 并在预算编制全过程大幅强化事前协商与合作。 2026年韩国政府整体研发预算规模达35.5万亿韩元，其中85.3%的主要研发预算（约30.5万亿韩元）， 将由科学技术信息通信部科学技术创新本部负责制定分配与调整方案，再由企划预算处据此编制最终预 算案。这一分工旨在同时反映研发项目的技术专业性审查与财政健全性分析。 长期以来，对韩国政府部门间研发预算各自为政、沟通不畅的批评始终存在。为彻底改善这一问题，上 述两部门决定从预算编制初期阶段起就展开深度合作与联 ...

Core Insights - A new type of quantum state has been reported that could power future technologies, merging quantum criticality and electronic topology, potentially leading to advancements in computing, sensing, and materials science [1][2] Group 1: Research Findings - The research predicts that strong interactions among electrons can induce topological behavior, combining two previously studied phenomena: quantum criticality and topology [1] - This study is the first to theoretically combine these two concepts and has been experimentally validated by observing behaviors in a heavy fermion material that align with the theoretical model [1] Group 2: Implications for Quantum Technology - The discovery has significant implications for the development of quantum technologies, as topological materials typically exhibit stable physical properties, while quantum criticality is associated with strong quantum entanglement and high sensitivity to external disturbances [1] - The combination of these two phenomena may provide new material platforms for developing robust and high-sensitivity quantum devices, applicable in computing, sensing, or low-power electronics [1][2] Group 3: Future Directions - The research offers a direction for exploring and designing systems with similar quantum behaviors, potentially leading to the discovery of materials with both topological characteristics near quantum critical points [2] - The approach of integrating quantum criticality with topology could fundamentally change the design and application of future quantum materials [2]

针对历史遗留废弃矿山生态修复工程，中央财政奖补比例为60%，每个项目奖补金额不超过3亿元。 《管理办法》强调，重点生态保护修复治理资金不得用于有明确修复责任主体的项目；不符合自然保护 地、生态保护红线、耕地保护红线等国家管控要求的项目；广场、雕塑等华而不实的景观工程建设等情 况的支出。 《管理办法》明确，符合条件的重点生态保护修复治理项目，实施期限为3年。对于山水林田湖草沙一 体化保护和修复工程，中央财政奖补标准为项目总投资不低于20亿元。对于省内区域项目，项目总投资 20亿元及以下部分，中央财政奖补比例为75%；超过20亿元的部分，中央财政奖补比例为50%；每个项 目奖补金额不超过20亿元。对于跨省域项目，项目总投资25亿元及以下部分，中央财政奖补比例为 80%；超过25亿元的部分，中央财政奖补比例为50%；每个项目奖补金额不超过25亿元。 1月16日，财政部公布修订后的《重点生态保护修复治理资金管理办法》（以下简称《管理办法》）， 明确了"十五五"期间山水林田湖草沙一体化保护和修复、历史遗留废弃矿山生态修复工程的财政支持政 策，旨在提高资金使用效益，促进生态系统保护和修复。 据悉，重点生态保护修复治理资金 ...