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The rise of semi-metal electronics 半金属电子产品的兴起
Pub Date : 2024-08-01 DOI: 10.1038/s44287-024-00068-z
Enzi Zhai, Tianyu Liang, Ruizi Liu, Mingyang Cai, Ran Li, Qiming Shao, Cong Su, Yuxuan Cosmi Lin
Semi-metals present unique transport properties due to their distinctive band structures and topological properties, leading to an emergence of semi-metal-based electronic applications. Specifically, these properties include intrinsic low density of states at the Fermi level, the linear dispersion electronic structure and the symmetry breaking in the momentum space, which can be harnessed for improved functionality, energy efficiency and form factor in electronic devices. In this Review, we examine the fundamental properties and devices based on semi-metals and their heterojunctions for electronics applications. We then discuss advanced logic, analogue, memory and interconnect technologies enabled by the physical properties of semi-metals and benchmark them against the state-of-the-art technologies. Finally, we outline the remaining challenges and future perspectives of practical applications of semi-metal heterojunction electronics. This Review examines the unique electronic properties of semi-metals and their microelectronics applications, highlighting recent advancements, challenges and future prospects for semi-metal-based technologies in logic, memory, interconnects and high-frequency devices.
半金属因其独特的带状结构和拓扑特性而具有独特的传输特性,从而催生了基于半金属的电子应用。具体来说,这些特性包括费米级的固有低态密度、线性色散电子结构和动量空间的对称性破缺,这些特性可用于改善电子器件的功能、能效和外形尺寸。在本综述中,我们将探讨基于半金属及其异质结的电子应用的基本特性和器件。然后,我们将讨论利用半金属的物理特性实现的先进逻辑、模拟、存储器和互连技术,并将这些技术与最先进的技术进行比较。最后,我们概述了半金属异质结电子学实际应用的剩余挑战和未来前景。
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引用次数: 0
Development of environmentally friendly high-capacity power cables 开发环保型大容量电力电缆
Pub Date : 2024-08-01 DOI: 10.1038/s44287-024-00085-y
Yao Zhou, Jinliang He
Long-distance transmission of large-scale renewable energy calls for reliable and stable high-capacity power cables with improved environmental friendliness. Hierarchical structure regulation enables synergistic optimization of electrical, thermal and mechanical properties in polypropylene-based insulation materials, aiding the development of environmentally friendly power cables.
大规模可再生能源的长距离传输需要可靠、稳定且环保的大容量电力电缆。通过分层结构调节,可以协同优化聚丙烯基绝缘材料的电气、热和机械性能,有助于开发环保型电力电缆。
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引用次数: 0
Vehicle-based vision–radar fusion for real-time and accurate positioning of clustered UAVs 基于飞行器的视觉雷达融合技术,实现集群无人飞行器的实时精确定位
Pub Date : 2024-08-01 DOI: 10.1038/s44287-024-00087-w
Lishu Wu
An article in IEEE Journal on Selected Areas in Communications presents a vehicle-based vision–radar system designed for precise, real-time positioning of UAV clusters.
电气和电子工程师学会通信选区期刊》上的一篇文章介绍了一种基于车辆的视觉雷达系统,该系统设计用于对无人机集群进行精确、实时定位。
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引用次数: 0
Sustainable electrification in the era of AI 人工智能时代的可持续电气化
Pub Date : 2024-07-31 DOI: 10.1038/s44287-024-00083-0
Le Xie, Na Li, H. Vincent Poor
Sustainable electrification is essential for addressing climate change and leveraging artificial intelligence (AI). Electric grids have a fundamental role in decarbonizing the economy and enabling AI. Here we propose a comprehensive research agenda that integrates innovations in material discovery, computer architecture, smart grids and system theory to accelerate efficient, large-scale, low-carbon electrification.
可持续电气化对于应对气候变化和利用人工智能(AI)至关重要。电网在经济去碳化和实现人工智能方面发挥着基础性作用。在此,我们提出一个综合研究议程,整合材料发现、计算机架构、智能电网和系统理论方面的创新,加快高效、大规模、低碳电气化进程。
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引用次数: 0
Bridging the gap between AI and robotics 缩小人工智能与机器人技术之间的差距
Pub Date : 2024-07-24 DOI: 10.1038/s44287-024-00079-w
Tetsuya Ogata
Recent advancements in generative AI require multimodal information processing that incorporates images, videos and audio. This shift underscores the importance of integrating AI with robotics to address challenges such as Moravec’s paradox.
生成式人工智能的最新进展需要结合图像、视频和音频的多模态信息处理。这一转变凸显了将人工智能与机器人技术相结合以应对莫拉维克悖论等挑战的重要性。
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引用次数: 0
Metal oxide transistors 3D integration on low-thermal budget 低热预算下的三维集成金属氧化物晶体管
Pub Date : 2024-07-19 DOI: 10.1038/s44287-024-00084-z
Silvia Conti
An article in Nature Electronics presents a low-thermal fabrication process for 3D integration of metal-oxide transistors.
自然-电子学》上的一篇文章介绍了一种用于金属氧化物晶体管三维集成的低热制造工艺。
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引用次数: 0
Revolutionizing electronics with advanced interfacial heat management 先进的界面热量管理为电子产品带来革命性变革
Pub Date : 2024-07-17 DOI: 10.1038/s44287-024-00077-y
Yen-Ju Wu
Efficient heat dissipation is crucial for electronics. Interfacial thermal resistance (ITR) poses considerable challenges that require innovative solutions. Machine learning approaches could enhance ITR predictions by analysing large datasets to guide the development of inorganic, amorphous and 2D materials for advanced thermal management in next-generation electronic devices.
高效散热对电子产品至关重要。界面热阻(ITR)带来了相当大的挑战,需要创新的解决方案。机器学习方法可通过分析大型数据集来增强 ITR 预测,从而指导无机、非晶和二维材料的开发,为下一代电子设备提供先进的热管理。
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引用次数: 0
Towards efficient ESD protection strategies for advanced 3D systems-on-chip 为先进的 3D 片上系统制定高效的 ESD 保护策略
Pub Date : 2024-07-16 DOI: 10.1038/s44287-024-00071-4
Shih-Hsiang (Shane) Lin, Marko Simicic, Nicolas Pantano
2.5D/3D technologies require designers to reduce electrostatic discharge (ESD) protection of the internal I/O interfaces. To avoid over-design of ESD protection, designers require a more fundamental understanding of the ESD events that occur at this level. Here we present insights, practical guidelines and research directions for circuit designers and suppliers of bonding tools.
2.5D/3D 技术要求设计人员减少内部 I/O 接口的静电放电 (ESD) 保护。为避免过度设计 ESD 保护,设计人员需要从根本上了解发生在这一层面的 ESD 事件。在此,我们将为电路设计师和接合工具供应商提供见解、实用指南和研究方向。
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引用次数: 0
Sensor-based IoT data privacy protection 基于传感器的物联网数据隐私保护
Pub Date : 2024-07-15 DOI: 10.1038/s44287-024-00073-2
Xiaoyu Ji, Wenjun Zhu, Shilin Xiao, Wenyuan Xu
Sensors are extensively used in the Internet of Things (IoT) applications, enhancing daily convenience but also raising concerns about privacy leakage. To address this, we advocate for protecting data privacy at the moment it is generated by sensors, rather than trying to secure it afterwards.
传感器被广泛应用于物联网(IoT)应用中,在提高日常便利性的同时,也引发了对隐私泄露的担忧。为了解决这个问题,我们主张在传感器产生数据时就保护数据隐私,而不是事后再设法保护数据隐私。
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引用次数: 0
Non-destructive characterization techniques for battery performance and life-cycle assessment 用于电池性能和生命周期评估的非破坏性表征技术
Pub Date : 2024-07-09 DOI: 10.1038/s44287-024-00069-y
Charlotte Gervillié-Mouravieff, Wurigumula Bao, Daniel A. Steingart, Ying Shirley Meng
Improving the performance and efficiency of batteries is key to enabling the broader adoption of electric vehicles and the effective use of intermittent renewable energy sources. However, this enhancement demands a more comprehensive understanding and improved surveillance of the essential mechanisms that control battery functionality over their entire lifespan. Unfortunately, from the moment batteries are sealed until their end of life, they remain a ‘black box’, and our knowledge of the health status of a commercial battery is limited to current (I), voltage (V), temperature (T) and impedance (R) measurements, at the cell or even module level during use, leading to an over-reliance on insufficient data to establish conservative safety margins and a systematic under-utilization of cells and batteries. Although the field of operando characterization is not new, the emergence of techniques capable of tracking commercial battery properties under realistic conditions has unlocked a trove of chemical, thermal and mechanical data that have the potential to revolutionize the development and utilization strategies of both new and used lithium-ion devices. In this Review, we examine the latest advances in non-destructive characterization techniques, including electrical sensors, optical fibres, acoustic transducers, X-ray-based imaging and thermal imaging (infrared camera or calorimetry), and their potential to improve our comprehension of degradation mechanisms, reduce time and cost, and enhance battery performance throughout their three main life stages: during the manufacturing process, during their utilization and, finally, at the end of their life. This Review examines the latest advances in non-destructive operando characterization techniques and their potential to improve our comprehension of degradation mechanisms and enhance battery performance during the manufacturing process, utilization and at the end of life.
提高电池的性能和效率是更广泛地采用电动汽车和有效利用间歇性可再生能源的关键。然而,要提高电池的性能和效率,就必须更全面地了解和更好地监控电池在整个生命周期内控制其功能的基本机制。遗憾的是,从电池密封到报废,它们始终是一个 "黑盒子",我们对商用电池健康状况的了解仅限于使用过程中在电池甚至模块层面进行的电流 (I)、电压 (V)、温度 (T) 和阻抗 (R) 测量,这导致我们过度依赖不充分的数据来建立保守的安全系数,电池和电池的利用率系统性地偏低。尽管操作表征领域并不新鲜,但能够在现实条件下跟踪商业电池特性的技术的出现,已经开启了化学、热和机械数据的宝库,有可能彻底改变新型和旧式锂离子设备的开发和利用策略。在本《综述》中,我们将探讨非破坏性表征技术的最新进展,包括电传感器、光纤、声传感器、X 射线成像和热成像(红外热像仪或量热仪),以及这些技术在改善我们对降解机制的理解、减少时间和成本以及提高电池在三个主要生命阶段(制造过程中、使用过程中以及寿命结束时)的性能方面的潜力。
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引用次数: 0
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