Core Insights - A new type of two-dimensional topological disulfide monolayer material has been predicted by a research team from Tianjin University and Shanghai Jiao Tong University, providing significant theoretical support for the development of high-performance battery technology [1][2] Group 1: Material Properties - The new two-dimensional materials serve as anode active materials with abundant lithium and sodium ion storage sites, exhibiting ultra-fast ion transport capabilities, which can significantly enhance battery fast-charging performance [1] - The theoretical capacity for lithium ion storage in this material reaches 1.60 Ah per gram, while for sodium ions, it is 1.35 Ah per gram, outperforming various existing two-dimensional materials [1] Group 2: Stability and Efficiency - The new materials possess unique chemical properties and adsorption capabilities that effectively stabilize polysulfides, suppressing the "shuttle effect" and thereby improving battery cycling stability and charging efficiency [2] - The materials maintain good thermal stability and kinetic performance across a wide temperature range from room temperature to approximately 227°C, making them suitable for applications in high-temperature environments such as electric vehicles and industrial energy storage systems [2]

Core Viewpoint - The article emphasizes the importance of integrating scientific exploration with industrial contributions in the development of atomic-level manufacturing technologies, as highlighted by the recent Xiangshan Science Conference [1]. Group 1: Technological Development - The NANO-X facility, developed by the Suzhou Institute of Nano-Tech and Nano-Bionics, serves as a model for "laying eggs along the way," focusing on both scientific research and industrial application [1]. - NANO-X has established five major platform modules for research and development of nanomaterials and devices in a vacuum environment, achieving efficient and stable operation [1]. Group 2: Research and Collaboration - The facility has conducted 780 collaborative projects and served over 280 users, accumulating more than 140,000 service hours, resulting in 381 published academic papers [2]. - A significant portion of the service users are enterprises, particularly startups, which utilize the platform to explore processes and verify material properties, thereby reducing R&D costs [2].

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 the independent and collaborative programming of electric and thermal fields, addressing a significant challenge in multi-physical field coupling control [1][2] Group 1: Research Breakthrough - The new design paradigm of electro-thermal lattice metamaterials enables precise control over both electric and thermal fields simultaneously, overcoming the limitations of traditional materials which have fixed properties and static designs [1] - The research team utilized a modular design strategy, constructing the metamaterial as a lattice network of identical unit cells connected by high thermal and electrical conductivity "bridges" [1][2] Group 2: Functional Demonstration - The innovative architecture successfully demonstrated multiple functionalities of electric and thermal fields within 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 showcased the capability to create complex shapes such as heart and pentagon forms for field control devices, highlighting the strong customization potential of this technology [2] Group 3: Implications for Technology Development - This research marks the first achievement in programmable decoupled control of electric and thermal coupling fields, challenging the traditional understanding that "material properties determine field control capabilities" [2] - The findings provide essential technological support for the development of devices in complex multi-physical field environments, which are crucial for advanced applications in smart energy management and high-performance electronic devices [1][2]

Core Viewpoint - The article discusses the significance of atomic-level manufacturing in advancing technology and enhancing national competitiveness, highlighting the establishment of the NANO-X facility as a pivotal step in this field [2][4]. Group 1: Overview of NANO-X - NANO-X is described as the world's largest, most efficient, and highly shared vacuum interconnection experimental facility, integrating over 50 large scientific research devices [1]. - The facility aims to explore cutting-edge technology in atomic-level manufacturing, which involves precise manipulation of atoms to create materials and devices with specific functions [3]. Group 2: Importance of Atomic-Level Manufacturing - Atomic-level manufacturing is seen as a transformative technology that can create unprecedented new states of matter, materials, and devices, applicable in critical fields such as integrated circuits, quantum computing, and artificial intelligence [4]. - The current research in this area has progressed from single-atom manipulation to the manipulation of hundreds of thousands of atoms, indicating significant advancements in the field [4]. Group 3: Challenges and Requirements - There are substantial gaps between scientific research in atomic manipulation and the manufacturing of atomic-level devices, necessitating comprehensive scientific infrastructure to address common scientific issues [5]. - The need for ultra-high vacuum environments is emphasized to eliminate external contamination that could adversely affect the performance of atomic-level materials and devices [5][6]. Group 4: Research Focus Areas - The NANO-X facility focuses on three key scientific issues: the creation of atomic-level materials, precise processing of atomic-level devices, and high-resolution dynamic characterization of manufacturing processes [6]. - The goal is to achieve accurate manufacturing, precision processing, and clear observation of atomic-level production [6]. Group 5: Role of Artificial Intelligence - AI is positioned as a crucial enabler in the creation of new materials and device simulations, with plans to establish a comprehensive open-source database for single-atom catalysts and intelligent models [7]. - The integration of AI with high-throughput computing and experimental results is expected to address core questions in new material creation, enhancing the efficiency and effectiveness of the research [7].

Core Insights - DeepMind has launched its AI system AlphaProof, which successfully proved complex mathematical theorems and achieved a silver medal equivalent performance in the 2024 International Mathematical Olympiad (IMO) [1] - This breakthrough is considered a milestone in AI research, as high-level competition problems are essential for evaluating AI's logical reasoning and problem-solving capabilities [1] Group 1 - AlphaProof was developed to specifically prove mathematical propositions, utilizing a formal mathematical proof environment called Lean, which ensures 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] - In the recent competition, AlphaProof, in collaboration with another AI system AlphaGeometry, successfully solved 4 out of 6 problems, achieving a silver medal level performance [2] Group 2 - Despite its impressive capabilities, the team acknowledges limitations in AlphaProof, particularly in handling non-standard or highly abstract mathematical problems [2] - Future research is aimed at enhancing the system's generality and adaptability, which could position AlphaProof as a powerful tool for mathematicians tackling complex problems [2]

Core Viewpoint - The aluminum electrolysis industry has made significant advancements with the development of intelligent shelling and material control technology, addressing the long-standing "jamming" issue that has plagued the sector globally [1][2]. Group 1: Technology Development - The research team led by the Guiyang Aluminum-Magnesium Design and Research Institute has developed a comprehensive technology route combining mechanism research, intelligent identification, automatic processing, and dynamic early warning [1]. - The non-contact jamming identification technology achieves an accuracy rate of over 95% by analyzing the "air pressure fingerprint" during the shelling process [1]. - The team has also created a frequency conversion shelling control model and intelligent linkage strategy to dynamically adjust the action intensity and feeding rhythm based on working conditions [1]. Group 2: Efficiency and Economic Impact - The new system can improve current efficiency in aluminum electrolysis production by 0.3% and reduce direct current consumption by 30 to 50 kilowatt-hours per ton of aluminum [2]. - Maintenance costs for the equipment have decreased by nearly 30% [2]. - In a specific application at Inner Mongolia Huayun New Materials Co., a single electrolysis cell saves over 50,000 kilowatt-hours annually, contributing to an estimated annual energy savings of approximately 400 million kilowatt-hours across applications, equivalent to a reduction of 236,400 tons of CO2 emissions [2]. - The technology is projected to generate direct economic benefits exceeding 370 million yuan for the applying enterprises [2].

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。研究人员在金属中发现"负能界面"，成功实现亚纳米结构合金强化，使材料强度逼近理论极限的 同时，显著提升弹性模量。这种极限尺度稳定界面能够改变晶格的原子键合状态，从而大幅度提升性 能，为下一代高性能金属材料的设计开辟了全新维度。这一发现标志着金属材料的结构调控进入到亚纳 米尺度，相关成果近日在国际期刊《科学》上发表。 （文章来源：科技日报） 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。 ...

记者12日从南京工业大学获悉，由中国科学院院士、柔性电子全国重点实验室主任黄维领衔的科研团 队，成功构建全钙钛矿叠层发光二极管（LED）器件，并创新性地提出利用层间光子循环效应来提升钙 钛矿LED的光提取效率，使钙钛矿叠层LED的外量子效率突破45%，刷新该领域世界纪录，为开发高性 能钙钛矿LED开辟了全新途径。该成果11日发表于国际学术期刊《自然》。 随着市场对高品质显示和照明需求的不断提升，开发兼具高亮度、低成本及柔性化特征的新型LED技术 已成为世界科技前沿的研究热点。 然而，当前叠层钙钛矿LED的外量子效率仍不足10%，甚至远低于单结器件，严重制约其商业化进程。 此次研究中，团队通过优化连接层结构，实现了叠层器件中高效的电荷注入与平衡。论文共同通讯作 者、柔性电子全国重点实验室教授王建浦介绍："更为重要的是，我们通过调控钙钛矿发光层的微纳结 构，创新性地提出利用叠层器件中独特的层间光子循环效应的策略，即一个发光单元产生的光子可被另 一钙钛矿层重新吸收并再次发射，从而突破了传统光提取效率的限制，实现'1+1>2'的效果。" （文章来源：科技日报） 论文共同通讯作者、南京工业大学柔性电子（未来技术）学院教 ...

外观酷似一只巨大的方盒，坐落在工业园区云集的山东济南经十东路；内部的数据车间、模型车间、集 成车间等依序分布……近日，记者探访国内首个人工智能模型工厂——浪潮人工智能模型工厂，这里通 过九大单元、75道工序、180套工具的加工训练，将数据加工成模型。 在业内人士看来，人工智能产品生产实现工厂化，是人工智能大潮的汇聚成势。今年8月，国务院发布 《关于深入实施"人工智能+"行动的意见》，提出加快实施"人工智能+"科学技术、产业发展、消费提 质、民生福祉、治理能力、全球合作等六大重点行动，标志着人工智能技术赋能千行百业步入全面加速 阶段，迎来前所未有的发展爆发期。 如何顺势而为，细看这座工厂，就能初见端倪。"硬件、软件、云计算服务，三轮驱动，三者兼备。"浪 潮集团执行总裁、总工程师肖雪把浪潮人工智能模型工厂拔得头筹的主要原因归结于"系统性优势"。 在肖雪看来，工厂实现的是"集约"，不仅要算力、算法集约，还要人力、安全集约。如此才能将工厂打 造为发展人工智能产业的基础设施。 视线转移到工厂之外，就能感受"未来已来"。 走进工厂，记者看到，上千台服务器24小时运转不停，为模型生产提供算力支持；调优工具、标引工具 等几十 ...

Core Points - The Ministry of Education has shifted the discipline and major adjustment cycle from once every ten years to annual updates, with over 20% of disciplines adjusted in the past two years, highlighting the dynamic nature of higher education in response to market demands [1][3][4] - The adjustment aims to better align higher education with national strategic needs and the evolving requirements of technological and industrial changes [2][3] - New majors such as Intelligent Molecular Engineering and Carbon Neutral Science and Engineering have been added, reflecting the influence of national strategy and market demand [3][4] Group 1 - The adjustment cycle for academic disciplines has been significantly shortened to allow for quicker responses to national strategic needs and technological advancements [2] - In the past decade, nearly 19,966 new undergraduate majors have been registered, with an average annual adjustment rate of about 5% for the total number of majors, indicating unprecedented adjustment intensity and frequency [4] - The new adjustment model requires a "pre-approval" principle, ensuring that new majors are backed by thorough research and expert evaluations before being established [5][6] Group 2 - The quality of talent cultivation is a critical concern as the speed of discipline updates increases, necessitating strict quality control measures for newly established majors [5][6] - Experts emphasize the importance of maintaining traditional disciplines while integrating new majors, advocating for a balanced approach that leverages existing strengths to support new developments [7][8] - Institutions are encouraged to develop new majors that align with their traditional strengths and emerging technologies, ensuring that new programs are not merely trends but are built on solid foundations [8][9]