Core Viewpoint - The State Power Investment Corporation (SPIC) has launched a demonstration project named "Tuqiang" for ultra-large floating offshore wind turbine foundation technology in Yangjiang, Guangdong, marking significant progress in the floating offshore wind power sector in China [1][2] Group 1: Project Overview - The demonstration project is located in the Yangjiang Sanshan Island offshore wind farm area, with water depths exceeding 50 meters, and is scheduled for completion and application verification by the end of 2026 [1] - The project aims to address the cost control challenges associated with floating wind power, which is crucial for the commercialization of deep-sea floating wind energy in China [1] Group 2: Technical Development - The project will focus on developing the first ultra-large foundation equipment suitable for 20 megawatt (MW) floating wind turbines, utilizing integrated design, simulation testing, and intelligent monitoring technologies [1] - The initiative aims to balance structural safety in complex marine environments with lightweight design and cost control by strictly managing the steel usage per megawatt and the cost per kilowatt [1] Group 3: Collaborative Efforts - Since its approval in December 2023, SPIC has formed a collaborative team with 10 entities, including Zhejiang University and Shanghai Jiao Tong University, to establish a comprehensive system for overcoming key bottlenecks in the industrialization of deep-sea floating wind power [2]

Core Insights - The article highlights a transformative approach to photovoltaic (PV) technology, showcasing its integration into architectural aesthetics and functionality, particularly at the "Building Photovoltaic Zero Carbon Aesthetics" exhibition in Beijing [1][2]. Group 1: Exhibition Overview - The 22nd China International Housing Industry and Building Industrialization Products and Equipment Expo took place from November 6 to 9, featuring a dedicated area for "Building Photovoltaic Zero Carbon Aesthetics" [1]. - The exhibition included three main sections: colorful photovoltaic curtain wall aesthetics, practical photovoltaic tiles, and innovative technology, demonstrating advancements in building-integrated photovoltaics (BIPV) [1][2]. Group 2: Colorful Photovoltaic Curtain Walls - Colorful photovoltaic technology addresses the aesthetic and efficiency imbalance in traditional PV systems, offering products that are visually appealing and efficient [2]. - Various types of colorful photovoltaic curtain walls were showcased, including pure color, stone-like, and aluminum-like designs, enhancing the visual appeal of buildings [2]. - Notable products included Yingchen and Jiasheng's series that blend traditional Chinese architectural elements with modern PV technology, and Longyan Energy's "Yicai" colored photovoltaic materials that maintain color durability for over 20 years with minimal impact on efficiency [2]. Group 3: Practical Photovoltaic Tiles - The practical photovoltaic tile section presented tiles that combine solar energy generation with traditional roofing functions, effectively replacing conventional tiles [3]. - A significant project highlighted was the "Zero Carbon Small House" in Anhui, which integrates PV technology into various building elements, achieving a total installed capacity of 108.6 kW and an expected annual generation of 107,100 kWh [3]. Group 4: Innovative Technologies - The innovative technology section focused on emerging technologies in the PV industry, showcasing advancements that transition buildings from energy consumers to energy producers [5]. - Examples included the world's first "dragon scale" PV roof at the Wuxi Symphony Hall, featuring a capacity of 1,240 kW, and various innovative PV products designed for architectural integration [5]. Group 5: Industry Growth and Future Prospects - The article notes that since the introduction of the "dual carbon" goals, the installed capacity of building photovoltaics has rapidly increased, reaching 365 million kW by the end of 2024, accounting for 41.2% of the total PV capacity in China [6]. - The ongoing development of innovative technologies and engineering cases is expected to further enhance the role of building photovoltaics in optimizing energy structures and promoting low-carbon transitions [6].

Core Insights - The research team from the University of Science and Technology of China has developed an innovative electro-thermal lattice metamaterial that allows for both independent and collaborative programming control of electric and thermal fields, addressing a significant challenge in multi-physical field coupling control [1][2]. Group 1: Research Innovation - The new design paradigm of electro-thermal lattice metamaterials utilizes a modular design strategy, creating a lattice network composed of identical lattice units connected by high thermal and electrical conductivity "bridges" [1]. - By adjusting the spatial positions and geometric shapes of the lattice units within a unified topological framework, the team has achieved collaborative shaping of electric and thermal fields, overcoming the limitations of traditional static designs [1][2]. Group 2: Functional Demonstration - The research team successfully demonstrated multiple functionalities of electric and thermal fields on the same metamaterial device, including the ability to guide field lines around a region for "invisibility," focus energy at a point, and change the direction of field propagation [2]. - The team has also fabricated complex-shaped field control devices, such as heart and pentagram shapes, showcasing the strong customization capabilities of this metamaterial [2]. Group 3: Implications for Technology Development - This research represents the first successful programmable decoupling control of coupled electric and thermal fields, challenging the traditional understanding that "material properties determine field control capabilities" [2]. - The findings provide core technological support for the development of devices in complex multi-physical field environments, which is crucial for advanced applications in smart energy management and high-performance electronic devices [1][2].

（原载于《科技日报》 2025-11-13 02版） 辽宁材料实验室党委副书记、副主任李秀艳在接受科技日报记者专访时介绍，卢柯研究员团队长期 致力于金属材料结构调控与性能突破研究。2018年，该团队首次发现，当纳米金属的晶粒小于70纳米 时，晶界能量下降，结构稳定性不降反升，这颠覆了传统"纳米晶粒越小越不稳定"的认知。2020年，团 队进一步探索晶粒尺寸极限，将纯铜晶粒细化至4—5纳米时，发现材料转变为一种新结构，晶界呈现三 维周期性极小面特征，将其命名为"受限晶体"。在最新研究中，团队聚焦尺度更小的界面结构（平均 0.7纳米/3—4原子层）。 "我们通过电化学沉积结合非晶化方法，发现在Ni-Mo合金中存在一种过剩能为负的界面。这种界 面比孪晶界面更加稳定，显著提升了合金的强度和弹性模量。"李秀艳说，该研究不仅突破了现有材料 理论的认知，首次证实界面过剩能可以为负，而且在Ni-W等其他材料体系也发现了亚纳米"负能界 面"强化效应。相关合金已取得中试成果，有望推动高精密耐磨部件的技术升级。 11月12日，记者从辽宁材料实验室获悉，该实验室与中国科学院金属研究所联合研究团队近日取得 重大技术突破。研究人员在金属中 ...

Group 1 - The research team led by Zhu Jianxi from the Guangzhou Institute of Geochemistry discovered a significant accumulation of rare earth elements in a fern species called "Wumaojue," marking the first observation of biogenic mineralization of rare earths in natural plants [1][2] - Wumaojue is classified as a "hyperaccumulator" of rare earth elements, effectively acting as a "rare earth vacuum cleaner" that absorbs and concentrates these elements from the environment [1][2] - The study reveals that rare earth elements absorbed by the plant precipitate as nanoparticles in the vascular bundles and epidermal tissues, eventually crystallizing into rare earth phosphate minerals, showcasing a self-protective mechanism of the plant [1][2] Group 2 - The discovery challenges the long-held underestimation of plants' mineral manufacturing capabilities and opens new avenues for research on nearly a thousand known hyperaccumulating plants [2] - The findings provide insights into the detoxification and biogenic mineralization mechanisms of plants concerning rare earth elements, suggesting a sustainable path for rare earth resource utilization through the cultivation of hyperaccumulator plants like Wumaojue [2]

Core Insights - Anhui Province's Jingde County is enhancing the value of the "Jingde Ganoderma" brand and promoting high-quality development of the Ganoderma industry through a tourism-driven strategy [1][2] Company Overview - Anhui Huangshan Yunle Ganoderma Co., Ltd. has established a complete industrial chain from breeding to research and development, holding 12 national invention patents and successfully cultivating five new Ganoderma varieties [1][2] - The company has built a deep mountain under-forest planting base, utilizing natural secondary forests and returning farmland to forest, which enhances the quality of Ganoderma cultivation [2] Production and Economic Impact - In 2024, Yunle Ganoderma is projected to achieve an annual output value exceeding 40 million yuan, producing 100 tons of Ganoderma and spore powder, benefiting over 100 local farmers with an average annual income increase of 30,000 yuan [2] - The county has transitioned from wild harvesting to artificial cultivation combined with high-tech processing and pharmaceutical production, resulting in a comprehensive production, processing, and marketing system [2] Policy Support - Jingde County has implemented supportive policies for the Ganoderma industry, including tax reductions, technical transformation support, and product research and development subsidies, facilitating industry upgrades [2] - The county has developed over 200 products across ten series, including Ganoderma slices, spore powder, polysaccharide peptides, and tea, establishing a reputation as "China's Ganoderma Capital" [2]

Core Viewpoint - The "Talent Scientist" responsibility project in Qinghai Province has led to significant advancements in agricultural technology, including the development of new crop varieties and innovative breeding techniques, aimed at enhancing local agricultural productivity and sustainability [1][4][8]. Group 1: Project Overview - The "Talent Scientist" responsibility project is designed to address major strategic needs in Qinghai's economic and social development, focusing on innovation in key industries [1][2]. - The project allows for flexible funding management, enabling researchers to allocate resources as needed without strict budget constraints [2]. - The initiative has attracted prominent scientists from across the country to collaborate on agricultural research, addressing local challenges in rural technology [2][3]. Group 2: Achievements in Crop Breeding - The project has successfully created and screened 836 new grass seed materials and developed several new potato varieties, including "Qing Shu Early No. 1" and "Qing Shu Color No. 1" [1][4]. - The "Qing Shu No. 9" potato variety has achieved a national planting area of 7.17 million acres in 2023, making it the most widely planted variety in the country [5]. - New high-yield and quality hybrid rapeseed varieties, such as "Qing Za No. 19," "Qing Za No. 20," and "Qing Za No. 21," have been developed to improve production efficiency [6][7]. Group 3: Technology Transfer and Impact - The innovative results from the "Talent Scientist" projects are being effectively translated into practical applications in agriculture, enhancing productivity and sustainability [7][8]. - The "Qing Za No. 21" rapeseed variety has been included in the National Crop Variety Promotion Directory for 2025, indicating its significance in the agricultural sector [7]. - The establishment of demonstration zones for the Tibetan sheep industry has led to improved breeding practices and increased productivity, showcasing the project's impact on local livestock farming [8].

Core Insights - DeepMind has launched AlphaProof, an AI system capable of proving complex mathematical theorems, achieving a silver medal equivalent at the 2024 International Mathematical Olympiad (IMO) [1][2] - This development marks a significant milestone in AI research, as performance in high-level competitions is a key measure of an AI's logical reasoning and problem-solving capabilities [1][2] Group 1: AI System Development - AlphaProof was designed specifically for proving mathematical propositions, utilizing a formal mathematical proof environment called Lean to ensure all reasoning steps adhere to formal logic rules [2] - The system processed approximately 80 million mathematical propositions and employed reinforcement learning to explore effective proof paths, surpassing previous AI models in historical IMO problems [2] Group 2: Performance and Limitations - In the recent IMO, AlphaProof, in collaboration with another AI system, AlphaGeometry, successfully solved 4 out of 6 problems, achieving a silver medal level [2] - Despite its impressive capabilities, the team acknowledges limitations in handling non-standard or highly abstract mathematical problems, indicating a need for future research to enhance the system's generality and adaptability [2] Group 3: Implications for Mathematics - The advancement of AI in formal reasoning is expected to accelerate the process of solving complex mathematical problems and constructing rigorous proofs, providing new tools for mathematicians [3] - This breakthrough not only addresses the limitations of traditional AI reasoning but also opens pathways for human-AI collaboration in tackling cutting-edge scientific challenges, impacting fields such as theoretical computer science and automated theorem proving [3]

Core Insights - The global agriculture sector is at a critical juncture, facing unprecedented pressures from climate change, resource degradation, demographic shifts, and geopolitical instability, necessitating a systemic transformation led by "deep technology" [1] - Deep technology, which encompasses advanced scientific and engineering innovations, is expected to revolutionize the agricultural industry and address significant global challenges over the next decade [1] Group 1: Deep Technology in Agriculture - Deep technologies such as Generative AI, computer vision, edge IoT, satellite remote sensing, robotics, CRISPR gene editing, and nanotechnology are identified as key drivers for transforming global agriculture into a more resilient, sustainable, and efficient system [1] - The World Economic Forum's "AI in Agriculture Innovation Initiative" released a report highlighting the potential of these technologies to reshape agricultural practices [1] Group 2: Generative AI - Generative AI is leveraging advancements in large language models and the increasing availability of agricultural data, providing personalized crop management advice and localized farming plans [2] - Applications include acting as an "AI advisor" for farmers, assisting governments in macro crop planning, and accelerating the development of new crop varieties through gene editing [2] - The lack of high-quality training data, particularly for localized scenarios, remains a significant barrier to the widespread adoption of Generative AI in agriculture [2] Group 3: Computer Vision - Computer vision enables machines to interpret images and videos, generating decision-making suggestions and reducing reliance on human analysis [3] - In agriculture, it is used for precise identification of crop diseases, weeds, and pests, as well as real-time monitoring of crop growth [3] - The variability of field conditions and plant growth stages poses challenges for the large-scale application of computer vision technology in agriculture [3] Group 4: Edge IoT - Edge IoT processes data at the device level or nearby network edge, allowing for low-latency real-time responses and accelerating autonomous decision-making [4] - It is particularly beneficial in rural areas with weak network coverage, facilitating applications such as automated irrigation and early disease warning systems [4] - High equipment costs and interoperability issues between different edge systems are current challenges in this field [4] Group 5: Satellite Remote Sensing - Satellite remote sensing technology is increasingly applied in agriculture due to improved spatial and spectral resolution and higher data collection frequency [6] - It allows for efficient monitoring of large geographic areas at a low cost, assessing crop health and predicting pest outbreaks [6] - The precision of satellite remote sensing needs improvement when dealing with small-scale, dispersed farmland or multi-crop rotations [7] Group 6: Robotics - Robotics technology automates labor-intensive or complex tasks in agriculture, integrating perception and decision-making capabilities [8] - With advancements in AI perception and cloud-edge collaboration, agricultural robots can perform tasks such as precision planting and automated harvesting [8] - High costs of these technologies present challenges for adoption in countries with abundant low-wage labor [9] Group 7: CRISPR Technology - CRISPR gene editing is a key force in agricultural development, allowing precise modifications to DNA to enhance desirable traits in crops [10] - It aims to accelerate the breeding of crops that are drought-resistant, pest-resistant, and nutritionally enhanced [10] - Regulatory hurdles and public acceptance issues are significant challenges to the commercialization of CRISPR technology [11] Group 8: Nanotechnology - Nanotechnology shows potential in agriculture for pest control, nutrient management, and controlled release of agricultural inputs [12] - The lack of long-term data on environmental and health impacts poses challenges for the widespread application of nanotechnology [12] - The report suggests that governments and institutions should support promising agricultural deep tech projects through policy coordination, funding, talent development, and infrastructure building [12]

面对线路跨度长、环境恶劣等挑战，国网新疆电力有限公司组织专家制定专项解决方案，在莎车变 —和田变、巴州变—罗布泊中继站等光缆区段采用超低损光缆、超长距光放大传输等新技术，实现低损 耗、大容量、超长距无中继数据传输。同时，该公司应用光缆监测、北斗图传等技术，对巴州变—库车 变等复杂区段实施状态监测，将光缆运维从"故障事后处置"转变为"事前预防"，大幅降低光缆异常对电 网稳定性的影响。 据悉，下一步，国网新疆电力有限公司将以该环网为新起点，持续推进电力通信技术创新，优化电 网结构，为新疆电力事业高质量发展和地区经济社会稳定贡献更大力量。 科技日报讯 （记者朱彤 通讯员李昱）11月10日，记者从国网新疆电力有限公司获悉，环塔里木盆 地750千伏电力通信环网于近日顺利合龙。这标志着全长2790公里的全国最大750千伏独立通信环网正式 建成，南疆新型电力系统数智化"大动脉"实现全线贯通。 该环网由750千伏巴州变、库车变、阿克苏变、巴楚变、喀什变、莎车变、和田变、民丰变、且末 变、若羌变及750千伏罗布泊中继站组成，彻底改变了南疆电力通信传输网长期以长链式为主的网络结 构，显著提升了电网调度生产业务通道的抗单节点失效能 ...