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全球首个!制冷材料领域有重要发现
Huan Qiu Wang Zi Xun· 2025-08-22 01:39
Core Findings - A significant discovery in the field of cooling materials has been made by researchers from the Institute of Metal Research, Chinese Academy of Sciences, who identified a new cooling material called potassium hexafluorophosphate [1] - This material is the only solid-state phase change cooling material that can operate effectively across the entire temperature range from room temperature to near absolute zero [1] Research Details - The researchers observed a "full temperature range pressure card effect" in potassium hexafluorophosphate for the first time [1] - Experiments demonstrated that by applying pressure, this material can continuously achieve cooling from room temperature (approximately 25°C) to liquid nitrogen (-196°C), liquid hydrogen (-253°C), and even liquid helium (-269°C) [1] Future Implications - This discovery opens new avenues for the development of a new generation of efficient and environmentally friendly all-solid-state cooling technologies [1] - There is potential for this research to revolutionize the design concepts of refrigeration devices such as refrigerators [1]
【科技日报】高承载长寿命聚合物水润滑材料研究取得进展
Ke Ji Ri Bao· 2025-08-21 00:55
Core Insights - Researchers from the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, have developed a superlubricating polymer gel material inspired by the continuous lubrication mechanism of earthworms [1] - The research paper was published in "Nature Communications," highlighting the innovative approach to creating biomimetic multi-level structured superlubricating polymer gel materials [1] Material Development - The material was created using strategies such as controllable chemical etching, in-situ wrinkling, laser microfabrication, and balanced swelling of closed pores [1] - It exhibits an ultra-low friction coefficient and stable, long-lasting superlubrication lifespan under high contact pressure conditions, with no surface wear [1] Performance Characteristics - This polymer gel-based superlubricating material has the highest reported load-bearing capacity at the macro scale [1] - In quasi-wet testing conditions, the material can achieve considerable sustained lubrication with limited lubricant supply [1] Mechanisms of Superlubrication - The robust and durable superlubrication behavior is attributed to factors such as hydration effects at the sliding interface, electrostatic repulsion, mechanical matching of the lubricating layer and load-bearing phase, and the self-pumping characteristics of the lubricant during friction [1] Practical Applications - The researchers built a load-friction mechanical drive testing system to visually demonstrate the mechanical robustness and reliable superlubrication behavior of the material [1] - This research provides theoretical guidance for the development of water-based superlubricating moving parts and medical devices [1]
新型晶体能自主“呼吸”氧气
Ke Ji Ri Bao· 2025-08-19 00:19
Core Viewpoint - A revolutionary new crystal material has been developed by a research team from Pusan National University and Hokkaido University, capable of absorbing and releasing oxygen under mild temperature conditions, which could pave the way for advancements in clean energy technologies [1] Group 1: Material Characteristics - The innovative material is a special metal oxide primarily composed of strontium, iron, and cobalt, exhibiting the ability to stably release and efficiently absorb oxygen in normal gas environments [1] - Unlike traditional materials that are often fragile or require extreme conditions to operate, this new crystal can function effectively in mild temperature environments and demonstrates excellent reversibility, returning to its original state after each "breathing" cycle [1] Group 2: Applications and Implications - The intelligent self-regulating feature of this material suggests broad application prospects in various fields, including clean energy development, electronic device upgrades, and green building materials [1] - Potential innovations include new types of solid oxide fuel cells, thermal transistors, and smart windows that can automatically adjust according to environmental conditions [1]
“热电橡胶”为可穿戴设备能源采集提供新方案
Ke Ji Ri Bao· 2025-08-15 00:48
Core Viewpoint - The development of the first N-type thermoelectric elastomer, termed "thermoelectric rubber," by Professor Liu Kai from Qingdao University of Science and Technology, offers a new solution for energy harvesting technologies in flexible electronics and wearable devices [1]. Group 1: Material Innovation - Traditional thermoelectric devices primarily utilize inorganic thermoelectric materials, which are rigid and lack elasticity and shape adaptability, limiting their application in wearable devices [1]. - The N-type thermoelectric elastomer combines elasticity, stretchability, and thermoelectric conversion capabilities, paving the way for advancements in energy harvesting for wearable technology [1]. - The elastomer exhibits remarkable tensile strain of up to 850%, comparable to traditional rubber, and achieves a thermoelectric figure of merit (ZT) of 0.49 at 300 Kelvin, nearing or surpassing the performance of existing flexible or plastic inorganic thermoelectric materials [1]. Group 2: Device Application - Researchers have manufactured the first elastic thermoelectric generator, which differs from inorganic thermoelectric devices by eliminating the need for complex interconnection structures, allowing direct adaptation to the skin surface [2]. - This device maintains a high fill factor and low thermal resistance while demonstrating efficient thermoelectric conversion efficiency and excellent comfort and shape adaptability, showcasing its potential to power wearable electronic devices and biosensors [2].
2025银川新材料产业对接会暨西部材料与能源学术会议开幕
Zhong Guo Xin Wen Wang· 2025-08-10 01:33
Group 1 - The 2025 Yinchuan New Materials Industry Matching Conference and Western Materials and Energy Academic Conference was held on August 9, 2023, with nearly 300 participants from academia and industry [1] - The conference focused on new materials and renewable energy, discussing energy conversion and storage materials, advanced functional materials, and green low-carbon materials [1] - The event provided a platform for communication among researchers and professionals in the materials science field, aiming to enhance academic research and application levels [1] Group 2 - The New Materials Industry Matching Conference has been successfully held six times, facilitating in-depth exchanges between over 260 experts and more than 600 industry representatives [2] - The conference has led to the implementation of 13 research cooperation projects, including 2 national key projects and 3 regional key projects, contributing to the high-quality development of Ningxia's new materials industry [2] - Starting in 2026, the conference will be renamed to "JMST - Frontiers in Materials Science and Technology Innovation Seminar and Ningxia Materials and New Energy Industry-University-Research Matching Conference" [2]
斩获430亿大单,“AI制药第一股”晶泰控股成色几何?
Core Viewpoint - JingTai Holdings has secured a significant AI pharmaceutical collaboration with DoveTree, amounting to a total of $5.99 billion, marking a record in the "AI + Robotics" drug development sector [1][2]. Group 1: Financial Details - The deal includes an initial payment of $51 million, potential further payments of $49 million, and milestone payments of $5.89 billion, with additional royalties based on annual net sales [2]. - JingTai Holdings' market capitalization reached HKD 298.1 billion following the announcement, with a stock price increase of 12.42% [2]. - The company reported a revenue of RMB 266 million in 2024, surpassing the HKD 250 million threshold required to remove its "P" label under the Hong Kong Stock Exchange's special technology rules [5]. Group 2: Company Background - Founded in 2015 by three MIT postdoctoral researchers, JingTai Holdings is recognized as the first AI pharmaceutical company listed on the Hong Kong Stock Exchange [5]. - The company has attracted significant investment from major firms, including Tencent, Sequoia, and China Life, and has completed multiple funding rounds totaling over RMB 5 billion [7]. Group 3: Business Operations - JingTai Holdings operates primarily in drug discovery solutions and intelligent automation solutions, with the latter generating RMB 163 million in revenue in 2024, a growth of 87.8% [6]. - The company has expanded its business beyond AI pharmaceuticals into materials science, agriculture, and consumer goods, signing a five-year contract worth RMB 1 billion with GCL Group for AI model development in new energy materials [6]. Group 4: Strategic Investments - In 2024, JingTai Holdings acquired a 90% stake in Siwei Medical, aiming to integrate its ECG diagnostic data with AI technology for cardiovascular drug development [9]. - The company also completed the acquisition of Liverpool ChiroChem, enhancing its capabilities in automated chiral chemistry [9]. - JingTai Holdings has invested in several biotech firms, including Merda Bio, which has received orphan drug designation from the FDA for a candidate drug [10].
选材宝典!70张超高清图材料各项性能对比
材料汇· 2025-08-03 15:39
Core Viewpoint - The article provides a comprehensive guide on material selection based on various mechanical properties such as Young's modulus, strength, and cost, emphasizing the importance of choosing the right materials for specific applications. Group 1: Young's Modulus and Density - When hard materials are needed, such as for top beams or bicycle frames, materials at the top of the chart should be selected [2] - For low-density materials, such as packaging foam, materials on the left side of the chart are recommended [2] - Finding materials that are both rigid and lightweight is challenging, and composite materials are often a good choice [3] Group 2: Young's Modulus and Cost - For hard materials, the top materials in the chart should be chosen for applications like top beams and bicycle frames [14] - For low-cost materials, those on the left side of the chart are preferred [14] - If a cheap and hard material is required, materials in the upper left corner of the chart, mostly metals and ceramics, should be selected [15] Group 3: Strength and Density - The strength indicated in the chart refers to tensile strength, with ceramics showing compressive strength [26] - High-strength and low-density materials are located in the upper left part of the graph [26] - Strength is a critical indicator of a part's ability to resist failure under load [26] Group 4: Strength and Cost - The strength indicated is tensile strength, except for ceramics which indicate compressive strength [38] - Many applications require materials with high strength, such as screwdrivers and seat belts, but these materials are often expensive [38] - Only a few materials can meet both strength and cost requirements, typically found in the upper left part of the chart [38] Group 5: Strength and Toughness - The strength indicated is tensile strength, while ceramics indicate compressive strength [50] - Typically, materials with poor toughness also have low strength; increasing strength may reduce toughness [50] - Strength measures a material's ability to resist external forces, while toughness measures its ability to absorb energy before failure [50] Group 6: Strength and Elongation at Break - Ceramics have very low elongation at break (<1%); metals have moderate elongation (1-50%); thermoplastics have high elongation (>100%) [61] - Rubber exhibits long-term elastic elongation, while thermosetting polymers have low elongation (<5%) [61] Group 7: Strength and Maximum Working Temperature - The chart applies to components used in environments where working temperatures exceed room temperature, such as cookware and automotive parts [73] - Polymers have lower maximum working temperatures, metals have medium, and ceramics can withstand very high temperatures [73] Group 8: Specific Strength and Specific Stiffness - Specific strength is defined as strength divided by material density, while specific stiffness is stiffness divided by material density [84] - High strength and high stiffness usually coexist, as they largely depend on the bonding forces between atoms [84] Group 9: Resistivity and Cost - The chart is primarily for selecting materials that require low prices and good electrical insulation or conductivity [97] - Good electrical conductors are typically good thermal conductors, while good electrical insulators are good thermal insulators [97] Group 10: Recyclability and Cost - The chart identifies materials' recyclability features, especially for expensive and recyclable materials [108] - Metals are particularly suitable for recycling due to ease of sorting and remelting, while ceramics are rarely recycled [108] Group 11: Production Energy Consumption and Cost - The energy consumed in producing a material is a factor in raw material costs, with most materials located in the low-cost/low-energy or high-cost/high-energy quadrants [121] - Metals often require significant energy for extraction, such as aluminum production consuming a substantial portion of total energy in the U.S. [123]
上海成立国资创新策源公益基金会,首批发布20个基础研究需求
Di Yi Cai Jing· 2025-07-30 13:23
Core Viewpoint - The establishment of the Qiyuan Public Welfare Foundation aims to support high-risk, high-value fundamental research and concept verification, particularly focusing on youth innovation in Shanghai [1][2]. Group 1: Foundation Overview - The Qiyuan Public Welfare Foundation is the first public welfare foundation for basic research initiated by national state-owned assets, with contributions from 16 state-owned enterprises in Shanghai [2]. - The foundation's mission is to "gather state-owned capital strength, stimulate innovation vitality, and promote the creation of an original technology source" [2]. Group 2: Focus Areas - The foundation will concentrate on four key areas: 1. Tackling critical issues aligned with national strategic needs and Shanghai's leading industries, supporting innovative projects with disruptive potential [2]. 2. Exploring frontier disciplines such as quantum technology and brain science, focusing on high-risk, controversial projects [2]. 3. Connecting various resources to facilitate the transformation from laboratory research to industrial application [2]. 4. Supporting young talents with innovative potential through early-stage funding [2]. Group 3: Future Initiatives - The foundation plans to transform corporate innovation challenges into funding lists and convert public investment into industrial value through collaborative efforts [3]. - During the unveiling ceremony, 20 basic research needs from Shanghai's state-owned enterprises were publicly announced, and cooperation agreements were signed with various academic and research institutions [3]. Group 4: Research Topics - The foundation has identified a list of research topics, including: 1. Mechanisms of stem cell-like T cells in tumors and inflammation [5]. 2. AI-based drug molecule design technology [5]. 3. Research on catalysts for sustainable aviation fuel production from carbon dioxide [5]. 4. Development of RNA cytosine base editing systems [5]. 5. Research on high-strength, non-magnetic new alloy materials for extreme environments [5].
帮主郑重:黄仁勋喊的“物理AI”,到底是啥?散户该盯哪些机会?
Sou Hu Cai Jing· 2025-07-17 05:13
Core Insights - The concept of "Physical AI" is introduced as a new wave in artificial intelligence, allowing machines to learn from physical laws and data without manual coding [3][4] - Physical AI can significantly enhance efficiency in various industries, such as aerospace and pharmaceuticals, by reducing design and testing time and costs [3][4] - Investment opportunities are identified in companies focused on computing power, industrial software, and materials science that can leverage Physical AI [3][4][5] Computing Power - Physical AI requires higher computing power than traditional AI, making companies like NVIDIA, which produces GPUs, central to this trend [3][4] - Domestic companies involved in computing clusters are also expected to benefit in the long term [3] Industrial Software - The integration of Physical AI with engineering simulation software is anticipated to create new opportunities for companies in the industrial simulation and CAE software sectors [3][4] Materials Science - Companies engaged in the development of new batteries and specialty materials can potentially double their research efficiency by utilizing Physical AI [3][4] Investment Horizon - The implementation of Physical AI is expected to take three to five years or longer, suggesting it is more suitable for medium to long-term investment strategies [4][5] - Historical context is provided, indicating that early investors in AI who focused on computing and algorithm companies have seen significant returns [4][5]
第四范式:AI4S赋能化学研发,中国力量引领万亿蓝海(附投资标的)
材料汇· 2025-07-08 15:14
Market Overview - The projected market size for various industries by 2025 includes: Chemical at $58.182 billion, Pharmaceutical at $16.232 billion, New Energy at $23.310 billion, Semiconductor at $7.189 billion, Alloy at $3.349 billion, and Display at $1.955 billion [7] AI Penetration Rates - AI penetration rates in different sectors are expected to increase significantly, with Chemical reaching 3.86%, Pharmaceutical at 7.77%, New Energy at 4.82%, Semiconductor at 15.18%, Alloy at 2.53%, and Display at 7.20% by 2025 [7] Company Profiles - **JingTai Technology**: Founded in 2015, focuses on first-principles computing, AI, and robotics for drug discovery and new materials development, backed by investors like Tencent and Sequoia [10] - **Deep Principle Technology**: Established in 2024, aims to apply AI and quantum chemistry in chemical materials research, focusing on generating target chemical materials and reactions [53] - **Molecular Heart**: Founded in 2022, specializes in protein structure prediction and molecular modeling, with backing from notable investors [10] - **Deep Cloud Intelligence**: Founded in 2020, focuses on AI and automation for new material synthesis, providing digital solutions for the energy sector [43] Investment Trends - Investment in companies like **Hongzhiwei** and **Deep Principle Technology** shows a trend towards funding in AI-driven material research and development, with significant rounds of financing reported [11][25][53] Product and Service Offerings - Companies are offering a range of products including high-throughput material screening systems, AI-driven design platforms, and simulation software for material properties [31][41][45] Collaborations and Partnerships - Collaborations with major institutions and companies such as Huawei, CATL, and various universities highlight the industry's focus on leveraging academic and corporate partnerships for innovation [14][28] Industry Challenges - The industry faces challenges such as high development costs and the need for advanced computational tools to overcome limitations in material design and testing [47][49]