近期，英国物理学会主办的《物理世界》公布"2025年度十大科学突破"榜单，中国科学院物理研究所张广宇团队主导的"首例二维金属制备"成果成功入选， 这是本年度唯一入选的中国成果，也是该榜单设立以来我国主导研究第7次获此殊荣，标志着我国在二维材料原子制造领域已占据国际领先地位 。 《物理世界》"年度十大突破"以学术权威性著称，入选成果需满足"科学意义重大、推动知识边界、理论与实验紧密结合、引发全球关注"四大标准。张广宇 团队的成果之所以能脱颖而出，不仅在于填补了二维材料家族的关键拼图，更开辟了全新研究领域——二维金属有望衍生出高温量子霍尔效应、二维超导等 宏观量子现象，为低功耗晶体管、高频器件、超灵敏探测等技术革新提供核心材料支撑 。 这一突破的背后，是中国科研团队长期深耕基础研究的坚持。从石墨烯研究的跟跑，到二维金属制备的领跑，中国在材料科学领域的创新能力持续提升。随 着这项技术的进一步发展，未来在量子计算、新型电子设备、新能源等领域，有望催生出一系列颠覆性产品，为我国高端制造业转型升级提供核心竞争力。 基础研究是科技创新的源头活水，张广宇团队的成果入选国际十大突破，不仅彰显了中国科研的硬实力，更激励着更多科研 ...

Core Viewpoint - The company, Taili Technology (301595.SZ), is investing 100 million RMB to collaborate with Jinan University in establishing an Advanced Functional Materials Research Institute, aimed at enhancing talent and technical support for the company's development in advanced functional materials [1] Group 1 - The company will donate 15 million RMB over the next five years to Jinan University, specifically for the Nano Intelligent Manufacturing Research Institute, focusing on research and talent development in nano flexible protective materials and intelligent manufacturing [1]

Company Overview - Guangzhou Mukhai Technology Co., Ltd. has recently been established with a registered capital of 100,000 RMB [1] - The company is engaged in various sales activities, including internet sales, building decoration materials, lighting, toys, outdoor products, and more [1] Business Scope - The business scope includes sales of household appliances, personal hygiene products, cosmetics, pet food, and various other consumer goods [1] - The company also focuses on wholesale activities across multiple categories such as jewelry, sports equipment, stationery, and kitchenware [1] - Additionally, the company is involved in research and development in new materials technology and integrated circuit chip design [1]

Core Viewpoint - Researchers from St. Petersburg University have developed a new type of fiber polymer that efficiently adsorbs oil products from water and can be reused multiple times [1] Summary by Relevant Sections Material Characteristics - The new material consists of a flexible film made of fibers with a diameter of less than 1 micron, which initiates the adsorption process when laid on the surface of oil spills [1] - The material is lightweight, elastic, waterproof, and does not sink, making it suitable for use in cold regions like the Arctic and under complex weather conditions [1] Adsorption Efficiency - The material can adsorb various types of oil products, with a maximum adsorption time of approximately two hours, and each gram of the material can adsorb about 40 grams of oil [1] - After being used for adsorption up to five times, the material retains about 80% of its initial adsorption capacity [1] Environmental Impact - According to the Russian Ministry of Natural Resources and Environment, there are approximately 10,000 oil spill incidents annually in Russia due to ship collisions, wastewater discharge, or intentional dumping, posing a threat to ecological safety [1] - This new adsorbent may become one of the methods to address such environmental disasters in the future [1]

Core Insights - Suzhou Material Science Technology Co., Ltd. (referred to as "Material Science") has recently completed a multi-million yuan angel round financing led by Zhongke Chuangxing, with Yuanhe Holdings and Yihe Capital participating [1][2] Group 1: Company Overview - Material Science is a technology company focused on a "data × intelligent dual-driven material development platform" [1] - The company is located in Suzhou, China, and has established a research and development center in collaboration with the Gusu Laboratory, attracting top interdisciplinary talents in materials science and artificial intelligence [1] - Material Science aims to provide revolutionary solutions for the global industrial sector, accelerating the research and development of energy materials technology and promoting the intelligent and digital transformation of the materials industry [1] Group 2: Financing Purpose - The recent financing will primarily be used for core technology research and development, including database expansion, model development, high-throughput platform construction, and commercialization of application scenarios [2] - These investments are intended to solidify the company's leading position in the "AI for Materials" field, enhance material research efficiency, and reduce trial-and-error costs [2] Group 3: Investment Rationale - The investment in Material Science is based on its innovative "data × intelligent dual-driven material development platform," which integrates a high-fidelity material database, physical and chemical theoretical model constraints, large language models, and high-throughput synthesis technology [3] - This platform has reportedly increased material research efficiency by over 100 times, shifting material development from traditional trial-and-error experiments to an AI-driven intelligent design paradigm [3] - The company's top-tier team and clear commercialization path are also significant factors attracting investment [3] Group 4: Investment Perspective - The current government has introduced a series of policies to support entrepreneurial investment, with relevant departments actively promoting policy implementation [4] - From the perspective of venture capital managers, the technological innovation and market potential of Material Science have been fully recognized, and investing in this project is expected to yield considerable returns [4] - The entrepreneurial spirit demonstrated by Material Science and the broad prospects of its sector are commendable, with hopes for mutual benefits in this round of financing [4]

Core Insights - Suzhou Caikuyuan Technology Co., Ltd. has recently completed an angel round financing of several tens of millions, led by Zhongke Chuangxing, with participation from Yuanhe Holdings and Yihe Capital [1] - The financing will focus on core technology development, including database expansion, model development, high-throughput platform construction, and commercialization of application scenarios, further solidifying the company's leading position in the "AI for Materials" sector [1] Group 1 - Zhongke Chuangxing, as a leading institution focusing on "small, early, long-term, and hard technology investments," recognizes Caikuyuan's innovative "data × intelligence dual-driven material development platform" [1] - The company integrates high-fidelity material databases, physical and chemical theoretical model constraints, large language models, and high-throughput synthesis technology to enhance the efficiency of advanced functional material research and development by over 100 times [1] - This shift promotes a transition from traditional "trial-and-error" experiments to an "AI-driven" intelligent design paradigm in material research [1] Group 2 - In its early establishment, Caikuyuan adopted a "Yugong Yishan" spirit, investing over 100 domain experts over seven years to focus on more than ten key energy material areas [3] - The company has built a million-level real material database through systematic annotation, mining, and cleaning, combined with over 120 self-developed physical models [3] - Caikuyuan has developed a fully automated intelligent material research and development platform, significantly shortening the R&D cycle of advanced functional materials and reducing trial-and-error costs [3] Group 3 - The company has established four core business areas: material production process optimization, custom new material R&D, exclusive database construction, and AI editing assistance [3] - Future plans include deepening the layout in energy materials and gradually developing intelligent material R&D platforms across various fields [3] - The goal is to create a "material bank" in the energy sector, leading the intelligent transformation of the materials industry and ushering in a "smart era" for global material research and development [3]

投资界11月18日消息，苏州材科源图科技有限公司（以下简称"材科源图"）近日宣布完成数千万元天使 轮融资。本轮融资由中科创星领投，元禾控股与亿合资本共同参与。融资将重点用于核心技术研发：数 据库扩建、模型开发、高通量平台搭建，及应用场景商业化落地，进一步巩固公司在"AI for Materials"领域的领先地位。 中科创星表示，材科源图开创了"数据×智能双驱动的材料开发平台"，通过融合高保真材料数据库、物 理化学理论模型约束、大语言模型、以及高通量合成技术，实现先进功能材料的智能研发，将材料研发 效率提升百倍以上，推动材料研发从传统"试错型"实验转向"AI驱动"的智能设计新范式。 材科源图的创立初期秉持着 "愚公移山"的精神：投入超百名领域专家，历时七年，聚焦十余类关键能 源材料领域，通过系统化的标注、挖掘与清洗，构建了百万级真实材料数据库。同时，结合公司自主研 发的120余项物理模型，开发出深度融合物理化学机理的材料AI智能体，搭建了"AI设计智能合成自动 测试反馈优化"的全流程智能化材料研发平台，大幅缩短了先进功能材料的研发周期，显著降低了试错 成本，为突破产业瓶颈提供了高效解决方案。 目前，材科源图已 ...

Group 1 - China Communications Signal successfully won the bid for the drone countermeasure demonstration project on the Qinghai-Tibet Railway, utilizing a self-developed intelligent protection system that integrates three core technologies: radio detection, AI optical tracking, and multi-point collaborative countermeasures [2] - Google announced plans to invest $40 billion in building three data centers in Texas, which will create thousands of jobs and provide skills training for students and electrical apprentices, while accelerating affordable energy initiatives across Texas [2] - The construction of the steel beams for the North Navigation Bridge of the Hangzhou Bay Cross-Sea Railway Bridge has commenced, marking the transition to the superstructure construction phase of this critical project for the Tong-Ning High-Speed Railway [2] Group 2 - Researchers at the Shenyang National Research Center for Materials Science have developed a "flash annealing" process that can achieve heating rates of up to 1000 degrees Celsius per second, successfully producing wafer-level high-performance energy storage films, paving the way for next-generation energy storage capacitor devices [2]

Core Insights - The event highlighted the transformative role of AI in the materials industry, emphasizing its potential to drive innovation and reshape research paradigms [1][3]. Group 1: AI's Impact on Material R&D - AI is fundamentally changing the way materials are developed, moving from imitation to independent innovation [3]. - Key challenges in material R&D include identifying suitable molecular structures for specific applications and optimizing synthesis routes [3]. - Companies are investing in AI capabilities, such as establishing computational simulation labs and collaborating with universities and software developers, aiming to create industry-specific models and databases by 2026 [3]. Group 2: Investment Opportunities - Investment opportunities in the materials sector are identified in two areas: materials with significant production value and import substitution potential, and those leveraging AI for breakthroughs in performance and cost efficiency [3][4]. - The integration of AI and big data is expected to unlock vast potential in biomedicine and new materials development [4]. Group 3: Future Trends and Expectations - The next five years are anticipated to mark the beginning of "AI for Science," progressing towards a cycle of AI-driven research and applications [5]. - The industry is expected to reach a tipping point in four to five years, leading to a surge in material innovation as data accumulates [4].

Core Points - The 9th International Forum on Materials Gene Engineering will be held from November 19-23, 2025, in Xi'an, Shaanxi Province, China, aiming to promote the development of foundational theories, cutting-edge technologies, and key equipment in the field of materials gene engineering [1][2]. Group 1: Forum Overview - The forum has successfully held 8 sessions since 2017, attracting over 310 academicians and more than 8,000 domestic representatives, significantly impacting the development and application of disruptive technologies in materials science [1]. - The event is co-hosted by the National New Materials Big Data Innovation Alliance and the Chinese Materials Research Society, with several universities and research institutes as co-organizers [2]. Group 2: Themes and Topics - Key themes include efficient material computation and intelligent design, transformative experimental technologies, AI applications in materials science, big data in materials, and the intelligent development and application of the materials industry [2][12][15][18][20]. Group 3: Event Schedule - Important dates include online registration and poster submission by November 9, 2025, on-site registration on November 19, and various sessions and meetings scheduled from November 20 to 23 [2][5]. Group 4: Organizational Structure - The organizing committee includes prominent figures from various institutions, with a focus on advancing materials science through collaboration and innovation [3][4]. Group 5: Registration Information - Registration fees are set at RMB 2,800 (approximately USD 400) for formal representatives and RMB 1,800 (approximately USD 260) for student representatives, with accommodation and meals arranged during the forum [5]. Group 6: Academic Reports - The forum will feature a range of academic reports from distinguished speakers, including members of the Chinese Academy of Engineering and international experts, covering various aspects of materials science and engineering [8][9][10]. Group 7: Supporting Institutions - Numerous supporting institutions, including universities and research centers, are involved in the forum, highlighting the collaborative effort in advancing materials gene engineering [3][4]. Group 8: Future Directions - The forum aims to accelerate the integration of artificial intelligence in materials research and development, fostering innovation and collaboration across the industry [1][2][20].