Core Viewpoint - The successful drilling of the "Donggao Hot 1" geothermal well in East China marks a significant achievement in the exploration and utilization of hydrothermal geothermal energy, which can provide substantial energy resources for various applications [1][2]. Group 1: Geothermal Energy Overview - Geothermal energy can be categorized into magma-type, dry hot rock-type, and hydrothermal geothermal energy, with hydrothermal being the primary focus for global development [2]. - The "Donggao Hot 1" well, with a depth of 4002.17 meters and a bottom temperature of 162°C, is expected to release an annual heat equivalent to approximately 27,000 tons of standard coal [1]. Group 2: Technological Advancements - The drilling team developed high-temperature acid fracturing technology to address challenges in deep geothermal reservoirs, enhancing connectivity and preventing blockages [3]. - A submersible pump was also developed to operate stably at 146°C, overcoming limitations in high-temperature pumping equipment [3]. Group 3: Implications for Energy and Society - The successful drilling challenges the traditional belief that high-temperature geothermal resources are limited to specific regions, opening opportunities for similar geological areas [4]. - Geothermal energy applications include clean urban heating, electricity generation, industrial production, and agricultural uses, emphasizing a smart, tiered utilization approach [5][6]. - The development of deep geothermal resources aims to benefit the public, with potential to replace traditional fossil fuels and contribute to a low-carbon future [6].

Core Viewpoint - The article highlights the significant advancements and strategic initiatives in artificial intelligence (AI) within Jiangsu Province, emphasizing the integration of AI across various industries and the establishment of a robust ecosystem to support its development [2][6]. Group 1: AI Development and Applications - Jiangsu Province is actively promoting the integration of AI into various sectors, including industrial, agricultural, and public services, aiming to establish itself as a leading innovation hub for AI by 2035 [2][6]. - The "AI+" action plan aims for over 90% application penetration of new intelligent terminals and systems by 2030, with the AI industry expected to exceed 1 trillion yuan [6]. - AI applications are being utilized in diverse fields such as aerospace, healthcare, and biomanufacturing, showcasing the technology's versatility and impact on critical sectors [4]. Group 2: Research and Innovation - Nanjing University has achieved the top ranking in AI disciplines globally, reflecting the strength of research capabilities in the region [3]. - The Jiangsu government supports AI research through funding and resources, facilitating the development of innovative technologies and applications [3]. - The establishment of national AI public computing platforms and support for young talent in AI research are key components of Jiangsu's strategy to enhance its research landscape [3]. Group 3: Policy and Ecosystem Development - Jiangsu has introduced several policies, including a provincial-level infrastructure development plan for computing power and guidelines for AI applications in manufacturing [5]. - The province is creating a comprehensive AI fund to support enterprises throughout their development lifecycle, ensuring sustained investment in AI technologies [5]. - The "AI for Science" initiative aims to deploy approximately 100 foundational research projects annually, focusing on key scientific fields where Jiangsu has clear advantages [6].

Core Insights - The research team led by the University of Chinese Academy of Sciences has directly observed the Migdal effect during neutron-nucleus collisions, confirming a quantum mechanics prediction made 87 years ago and providing crucial experimental evidence for the search for lighter dark matter particles [1][2] Group 1: Research Findings - The study successfully captured instances of the Migdal effect during neutron interactions with atomic nuclei, achieving statistical significance exceeding five standard deviations, which meets the physical "discovery" standard [2] - The research measured the ratio of the Migdal effect cross-section to the atomic nucleus recoil cross-section, marking a significant advancement in the field [2] Group 2: Implications for Dark Matter Research - The Migdal effect is considered a key theoretical pathway to overcome the energy threshold for detecting light dark matter, which has faced skepticism due to the lack of experimental support for over 80 years [2] - This breakthrough allows future international dark matter detection experiments to utilize the Migdal effect to enhance signal recognition accuracy and expand the range of dark matter detection [2]

Core Insights - The global technological competition is advancing towards foundational research and interdisciplinary fields, with AI for Science (AI4S) becoming a core engine for achieving high-level technological self-reliance and reconstructing scientific research paradigms [1] Group 1: Challenges in AI4S Development - The field of condensed matter science faces challenges in developing AI4S due to its reliance on researcher experience and intuition, leading to high trial-and-error costs and long R&D cycles [2] - The transition from a "human-intensive" trial-and-error approach to a "data and intelligence-intensive" rational design and prediction is expected to significantly enhance R&D efficiency and shorten the cycle from basic research to industrial application [2] Group 2: Data Quality and Governance - High-quality scientific data is the foundation of AI4S, with researchers working to build data aggregation and integration platforms to optimize AI model performance [3] - Current issues in condensed matter science data include resource scarcity, severe data isolation, insufficient data volume, inconsistent standards, and a lack of effective data aggregation mechanisms [3] - Data governance technology is a driving force for AI4S, with research teams developing efficient data processing algorithms and tools to enhance data governance and support scientific breakthroughs [4] Group 3: Innovation Ecosystem - A data innovation ecosystem is essential for the sustainable development of AI4S, with efforts to create research platforms and communities that support data sharing and collaboration [5] - Existing practices include standardized evaluation systems for models related to crystal material topology and XRD intelligent structure analysis, which support large-scale, collaborative data-driven technological innovation [5] Group 4: National Strategies and Initiatives - The digital transformation of condensed matter science has become a national strategy for major economies, with initiatives like the U.S. "Genesis Project" and the U.K. "National AI Strategy" focusing on the deep integration of condensed matter science and AI [6] - China is actively exploring this field, with the Chinese Academy of Sciences' Condensed Matter Science Data Center making systematic progress in integrating experimental, theoretical, and computational data [6] Group 5: Future Directions for Development - To further promote AI4S in condensed matter science, efforts should focus on building standardized, high-quality national data foundations and enhancing data collection, governance, application, and sharing services [7] - Creating an open, collaborative, and sustainable data ecosystem is crucial, along with fostering deep integration between industry, academia, and research [7] - Breakthroughs in data technology will enhance China's independent innovation capabilities and international competitiveness in condensed matter science [7]

1月14日，由中国科学院广州地球化学研究所科研团队自主研发的首台国产纳米晶体结构快速解析 仪正式发布。该仪器具备对纳米级晶体与矿物进行物相识别与结构测定的高通量快速分析能力，整体技 术水平已与国际同类最新设备持平。 随着人类对深空、深地等未知世界和纳米功能材料等应用领域的探索，解析亚微米至纳米尺度物质 的晶体结构已成为科学认知与高新技术发展的重要需求。"传统单晶X射线衍射技术难以突破纳米尺度 晶体的解析瓶颈，而依赖国外仪器与软件则伴随着高昂成本、操作复杂与算法受限等多重壁垒，导致我 国深地资源研究等战略领域长期受制于人。"团队负责人、中国科学院广州地球化学研究所研究员鲜海 洋介绍。 5年前，团队投入到纳米晶体结构快速解析仪的研发中。他们先后实现场发射电子枪及高压电源等 核心部件的国产化，攻克高精度控制等核心技术，成功研制出首台国产纳米晶体结构快速解析仪。该仪 器搭载团队自主开发的"连续倾转三维电子衍射采集与处理系统"，实现了从硬件到软件的全流程自主可 控。团队还把样品台的漂移量控制在200纳米以内，保证采集到高质量的数据。 传统X射线解析晶体至少需要半小时乃至几天的时间，而该解析仪采集数据时间以秒计，也就是说 ...

Core Viewpoint - The production of domestically manufactured T1000-grade carbon fiber in Shanxi, China, marks a significant breakthrough in high-performance materials, previously dominated by foreign entities [1][3]. Group 1: Production Process - The T1000-grade carbon fiber is produced through a sophisticated process involving the polymerization of acrylonitrile into a gel-like solution, followed by extrusion and various processing stages, resulting in a high-quality final product [1]. - The production line, established by the Chinese Academy of Sciences and Huayang Carbon Material Technology Co., has achieved key milestones, with qualified products produced by September 2025 and official production commencing in November 2025 [1]. Group 2: Technical Advancements - T1000-grade carbon fiber boasts a carbon content exceeding 90%, with a strength 5 to 7 times that of steel, making it essential for high-end applications in aerospace and other strategic sectors [3]. - The new carbon fiber exhibits superior properties, including corrosion resistance and stability at extreme temperatures, capable of withstanding up to 1000 degrees Celsius and maintaining performance at -180 degrees Celsius [4]. Group 3: Challenges and Solutions - Transitioning from laboratory success to stable mass production posed significant engineering challenges, particularly in maintaining production stability, as the T1000's strength exceeds that of T800 by 10%-20% [6]. - A critical issue was identified during production stability tests, where a misselected flow control valve caused fluctuations in the production environment, which was resolved by replacing the faulty component [6]. Group 4: Future Prospects - The successful mass production of T1000-grade carbon fiber signifies a shift from "catching up" to "keeping pace" in the industry, with applications anticipated in national defense, aerospace, rail transportation, and renewable energy sectors [7]. - The research team aims to develop even higher strength T1200-grade carbon fiber and expand its industrial applications, enhancing the material's impact across various fields [7].

《指南》立足武汉资源禀赋和产业基础，构建覆盖低空经济全产业链的标准体系，采用"纵向 三层+横向两翼"的立体化设计，包含六大子体系。 近日，武汉市发展和改革委员会、武汉市市场监督管理局联合发布《武汉市低空经济标准体 系建设指南（V1.0）》（以下简称《指南》）。《指南》为武汉市低空经济规范化、体系化、高 质量发展擘画蓝图，为产业融合创新注入强劲动能，为武汉都市圈低空经济融合发展提供方向引 领。 《指南》突出"体系化、协同化、动态化"特点，构建了覆盖低空经济产业链的标准体系，深 化产业链上中下游标准的协同合作，深度结合武汉特色应用场景，动态匹配产业发展阶段与实际 需求。通过梳理国家、行业、地方等多层级标准清单，明确近期重点标准制定方向，为低空经济 从"技术突破"到"场景落地"提供精准指引。 据悉，《指南》由湖北省标准化与质量研究院主导编制，武汉市计量标准质量研究院、武汉 市规划研究院参与编制，武汉市公安局、武汉大学、华中科技大学、武汉理工大学、普宙科技、 电鹰科技、旭日蓝天等多个部门、高校及企业积极参与研讨调研，确保标准体系兼具前瞻性与实 操性。下一步，武汉市将继续以标准为笔、创新为墨，书写好低空经济高质量发展的 ...

"在刚结束的航次中，我们利用这台机器人在南海完成了目标地层的原位实时监测，获得了2000多组甲 烷浓度、溶解氧和地层结构等数据，有助于更好地了解试采区地质背景。"自然资源部中国地质调查局 广州海洋局工程师朱扬涛说。 深海地层内蕴藏着天然气水合物、深海稀土、多金属结核等关键资源，其安全、绿色开发关乎国家能源 与资源安全。然而，深海环境复杂恶劣，具有低温、高盐度、高水压和地质条件不稳定等特点，勘探开 发面临巨大挑战。我国现有的深海钻探与监测技术，在装备机动灵活性、原位监测的时间和空间覆盖范 围、数据实时传输与长期可靠性等方面，仍难以满足深海资源勘探与开发所急需的在地层内部进行低扰 动、实时原位监测的需求。 科技日报北京1月14日电 （记者操秀英）记者14日从中国地质调查局广州海洋地质调查局获悉，该局自 主研发的国内首台海底地层空间立体钻探与原位监测机器人，在南海1264米水深海域成功完成试验作 业，各项性能全面达标，标志着我国深海勘探与地层原位监测技术取得重要突破。 该机器人采用模块化多体节设计，并融合惯性导航、磁信标辅助定位与人工智能算法，智能化水平与环 境适应性极大提升。它能够在深海地层内部实现自由钻进与精准 ...

Core Insights - The Chinese commercial space industry is experiencing significant growth, with multiple technological paths and business models being explored, and reusable rockets entering a new phase of scale-up [1][2] - The industry has transitioned from a "technology validation phase" to a "scale-up phase" focused on frequency, delivery, and efficiency [2] - The competition is intensifying due to the strategic value of space resources, with companies needing to demonstrate clear profit paths and scalable revenue [2][4] Industry Development - As of December 2025, China has launched 65 commercial satellite constellation plans and applied for frequency and orbital resources for 203,000 satellites [3] - The demand for low-cost, high-frequency launches is pushing the commercial rocket industry into a critical growth phase, with a focus on engineering capabilities and supply chain resilience [1][3] Technological Challenges - The transition from technology validation to large-scale application is fraught with challenges, as evidenced by recent failures in rocket recovery attempts [6][7] - The industry is characterized by a low tolerance for error, particularly in critical recovery processes, where even minor deviations can lead to significant risks [6][7] Market Dynamics - The market is driven by a dual demand-supply dynamic, with a complete domestic industrial system on the supply side and a vast market on the demand side, particularly for low Earth orbit satellite internet [8] - However, key technologies for low-cost, high-reliability, and reusable rockets have yet to be fully validated for engineering applications [8][9] Competitive Landscape - The Chinese commercial rocket sector is exploring multiple technological paths, with companies like Blue Arrow Aerospace focusing on reusable rockets and solid-fuel options [10][11] - The industry is expected to evolve from a project-driven model to a platform-based space transportation service, with a significant shift in competitive focus anticipated by 2026 [12][13] Policy and Infrastructure - There is a need for a regulatory framework that supports frequent launches and efficient management of airspace and frequency applications [12] - The establishment of a standardized process for rocket recovery and maintenance is crucial for achieving large-scale production and operational efficiency [12]

Core Insights - The research introduces a "thermal shrinkage preparation strategy" using liquid metal circuits and thermoplastic films, enabling complex electronic circuits to conform to various shapes like shrink wrap, thus advancing high-performance electronic devices from flat to three-dimensional forms [1] Group 1: Research and Development - The collaboration between Tianjin University and Tsinghua University Shenzhen International Graduate School has led to a significant breakthrough in flexible electronics, addressing the challenge of manufacturing high-performance circuits on irregular surfaces [1] - Traditional 3D printing methods are costly and slow, while conventional attachment methods struggle with complex surfaces; the new approach utilizes common thermoplastic films that shrink when heated, allowing for tight wrapping around objects [1] - The team developed a semi-liquid metal material with high conductivity and good fluidity to overcome the brittleness of ordinary metals during the shrinking process, enabling circuit printing on flat films [1] Group 2: Application Potential - The technology has broad application potential across various industries, including smart agriculture, aerospace, and smart healthcare [2] - In smart agriculture, thin circuits can be attached to fruits and vegetables to monitor temperature and humidity during storage and transportation [2] - In aerospace, customized integrated heating circuits can be developed for aircraft wings to enhance de-icing efficiency [2] - In smart healthcare, the technology can be used to create fingertip pulse sensors or smart bandages for precise health monitoring [2]