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From memristor to the edge of chaos 从忆阻器到混沌边缘
Pub Date : 2024-09-13 DOI: 10.1038/s44287-024-00098-7
Leon Chua’s lifelong contributions to computer science and electrical engineering exemplify the power of interdisciplinary research, where insights from one field can lead to breakthroughs in another.
Leon Chua 对计算机科学和电气工程的毕生贡献体现了跨学科研究的力量,一个领域的见解可以带来另一个领域的突破。
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引用次数: 0
Publisher Correction: Memristors on ‘edge of chaos’ 出版商更正:处于 "混乱边缘 "的晶体管
Pub Date : 2024-09-05 DOI: 10.1038/s44287-024-00100-2
Leon O. Chua
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引用次数: 0
Mitigating interference within satellite megaconstellations 减轻卫星巨型恒星内的干扰
Pub Date : 2024-09-02 DOI: 10.1038/s44287-024-00097-8
Lishu Wu
An article in IEEE Journal on Selected Areas in Communications presents a cooperative framework that integrates satellite routing and frequency assignment to avoid self-interference in large satellite constellations.
电气和电子工程师学会通信选区期刊》(IEEE Journal on Selected Areas in Communications)上的一篇文章介绍了一种合作框架,该框架将卫星路由和频率分配整合在一起,以避免大型卫星星座中的自干扰。
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引用次数: 0
System technology co-optimization for advanced integration 系统技术共同优化,实现先进集成
Pub Date : 2024-09-02 DOI: 10.1038/s44287-024-00078-x
Saptadeep Pal, Arindam Mallik, Puneet Gupta
Advanced integration and packaging will drive the scaling of computing systems in the next decade. Diversity in performance, cost and scale of the emerging systems implies that system technology co-optimization (STCO) would be essential to develop these integration technologies for future systems. Such STCO would need to comprehend not only integration technology, circuits, architectures and software but also their interactions with the power delivery, cooling and system costs. In this Review, we present a perspective on what would be needed from these STCO approaches with exemplar case studies covering the current state of the art and the future outlook. This Review discusses system technology co-optimization across the technology–hardware–software stack to guide broader research and development efforts towards the realization of future heterogeneously integrated computing systems.
先进的集成和封装技术将在未来十年推动计算系统的扩展。新兴系统在性能、成本和规模方面的多样性意味着,系统技术协同优化(STCO)对于为未来系统开发这些集成技术至关重要。这种系统技术协同优化不仅需要理解集成技术、电路、架构和软件,还需要理解它们与电力传输、冷却和系统成本之间的相互作用。在本综述中,我们将通过涵盖当前技术水平和未来展望的示例案例研究,介绍这些 STCO 方法的必要性。本综述讨论了跨技术-硬件-软件堆栈的系统技术协同优化,以指导更广泛的研发工作,从而实现未来的异构集成计算系统。
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引用次数: 0
Memristors on ‘edge of chaos’ 处于 "混乱边缘 "的晶体管
Pub Date : 2024-08-27 DOI: 10.1038/s44287-024-00082-1
Leon O. Chua
Rather than echoing the vision and perspectives proffered by numerous previous publications, this Review focuses on the recent resolution of four unsolved classic problems — Galvani’s ‘irritability’, the Hodgkin–Huxley ‘all-or-none’ mystery, the Turing instability and the Smale paradox — the oldest dating back 243 years to Galvani in 1781. Unlike advances reported previously, which tend to be ephemeral, our resolution of these problems is timeless, because they are a manifestation of a new law of nature, called the ‘principle of local activity’, which, within a certain relatively small parameter space, could harbour a physical state dubbed the ‘edge of chaos’. In this Review, we provide an explicit formula for calculating, via matrix algebra, the precise parameter range where a nonlinear device, or system, is locally active or operating on the edge of chaos. Unlike numerous unsuccessful attempts by luminaries, such as Boltzmann’s assay for decreasing entropy, Schrödinger’s futile search for negentropy, Prigogine’s quest for the ‘instability of the homogeneous’ and Gell-Mann’s musing on ‘amplification of fluctuations’, the principle of local activity provides an explicit formula to identify the parameter space where the edge of chaos reigns supreme. This Review resolves the age-old problems of Galvani’s irritability, the Hodgkin–Huxley ‘all-or-none’ mystery, the Turing instability and the Smale paradox, by applying the findings in 2023 that memristors operating on the ‘edge of chaos’ can model the nonlinear dynamics of these problems, complementing the second law of thermodynamics.
本评论并不重复以往众多出版物提出的观点和视角,而是重点关注最近解决的四个悬而未决的经典问题--伽伐尼的 "易激惹性"、霍奇金-赫胥黎的 "全或无 "之谜、图灵不稳定性和斯迈尔悖论--其中最古老的问题可追溯到 243 年前 1781 年的伽伐尼。以前报告的进展往往昙花一现,而我们对这些问题的解决则是永恒的,因为它们体现了一种新的自然法则,即 "局部活动原理",在某个相对较小的参数空间内,可能蕴藏着一种被称为 "混沌边缘 "的物理状态。在这篇评论中,我们提供了一个明确的公式,通过矩阵代数计算出非线性设备或系统局部活跃或在混沌边缘运行的精确参数范围。与波兹曼(Boltzmann)对熵减的测定、薛定谔(Schrödinger)对负熵的徒劳探寻、普里戈金(Prigogine)对 "同质不稳定性 "的探索以及盖尔-曼(Gell-Mann)对 "波动放大 "的思索等众多名人的失败尝试不同,局部活动原理提供了一个明确的公式,用于确定混沌边缘至上的参数空间。2023 年的研究发现,在 "混沌边缘 "运行的忆阻器可以模拟这些问题的非线性动力学,补充热力学第二定律的不足,从而解决了加尔瓦尼易怒、霍奇金-赫胥黎 "全或无 "之谜、图灵不稳定性和斯迈尔悖论等老生常谈的问题。
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引用次数: 0
Remote distance printing through acoustic holograms 通过声全息图进行远程打印
Pub Date : 2024-08-23 DOI: 10.1038/s44287-024-00095-w
Silvia Conti
An article in Nature Communications introduces the use of acoustic holograms in direct remote printing.
自然-通讯》上的一篇文章介绍了声全息图在直接远程打印中的应用。
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引用次数: 0
Progress of organic photovoltaics towards 20% efficiency 有机光伏技术向 20% 效率迈进
Pub Date : 2024-08-21 DOI: 10.1038/s44287-024-00080-3
Lei Zhu, Ming Zhang, Zichun Zhou, Wenkai Zhong, Tianyu Hao, Shengjie Xu, Rui Zeng, Jiaxing Zhuang, Xiaonan Xue, Hao Jing, Yongming Zhang, Feng Liu
Organic photovoltaic (OPV) technology is flexible, lightweight, semitransparent and ecofriendly, but it has historically suffered from low power conversion efficiency (PCE). However, since 2015, the materials design and PCE of OPV devices have been markedly optimized, and there is now an increasing understanding of OPV optoelectronic processes and blending morphology within the bulk heterojunction framework. In this Review, we survey OPV technology, discussing progress in enhancing the PCE and in understanding the relationship between structure and performance. This progress includes the development of emerging OPV materials and techniques for manipulation and characterization of thin-film morphology. Furthermore, we address the practical application issues ahead of OPV technology, showcasing strategies for improving device stability, fabricating large-area modules and realizing device encapsulation. Finally, we highlight future research directions, including the use of machine learning for material design and synthesis, device fabrication optimization, and prediction and optimization of device performance. Organic photovoltaics are flexible, lightweight and widely applicable, but they face commercialization challenges owing to stability and fabrication issues. This Review explores progress and technological bottlenecks in material innovation, morphology control, device stability and large-scale module fabrication for commercial use.
有机光伏(OPV)技术具有灵活、轻质、半透明和生态友好的特点,但其功率转换效率(PCE)一直较低。然而,自 2015 年以来,OPV 器件的材料设计和 PCE 已得到显著优化,现在人们对 OPV 光电过程和体质异质结框架内的混合形态有了越来越多的了解。在本《综述》中,我们将介绍 OPV 技术,讨论在提高 PCE 和理解结构与性能之间的关系方面取得的进展。这些进展包括新兴 OPV 材料的开发以及薄膜形态的操作和表征技术。此外,我们还探讨了 OPV 技术的实际应用问题,展示了提高器件稳定性、制造大面积模块和实现器件封装的策略。最后,我们强调了未来的研究方向,包括利用机器学习进行材料设计和合成、器件制造优化以及器件性能预测和优化。有机光伏技术灵活轻便、应用广泛,但由于稳定性和制造问题,其商业化面临挑战。本综述探讨了在材料创新、形态控制、器件稳定性和商业用途大规模模块制造方面的进展和技术瓶颈。
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引用次数: 0
Towards transparent superconductor electronics 迈向透明超导体电子学
Pub Date : 2024-08-19 DOI: 10.1038/s44287-024-00092-z
Ali Aliev, Mikhail Belogolovskii
Further progress in quantum technologies will require the hybridization of superconducting and photonic platforms. Transparent superconducting oxides would be an ideal solution to avoid substantial losses caused by photon absorption of the superconducting components. Here we present design principles for such materials and discuss the foreseeable prospects of transparent superconductor electronics.
量子技术的进一步发展需要超导和光子平台的混合。透明超导氧化物将是一种理想的解决方案,可避免超导元件吸收光子造成的大量损耗。在此,我们介绍了此类材料的设计原则,并讨论了透明超导电子学的可预见前景。
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引用次数: 0
6G: the catalyst for artificial general intelligence 6G:人工通用智能的催化剂
Pub Date : 2024-08-09 DOI: 10.1038/s44287-024-00090-1
Emilio Calvanese Strinati
6G might integrate 5G and AI to merge physical, cyber and sapience spaces, transforming network interactions and enhancing AI-driven decision-making and automation. The semantic approach to communication will train AI while selectively informing on goal achievement, moving towards artificial general intelligence, presenting new challenges and opportunities.
6G 可能会整合 5G 和人工智能,融合物理、网络和智能空间,改变网络互动,增强人工智能驱动的决策和自动化。通信的语义方法将训练人工智能,同时有选择地告知目标实现情况,从而迈向人工通用智能,这将带来新的挑战和机遇。
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引用次数: 0
Bioinspired electronics for intelligent soft robots 用于智能软机器人的生物启发电子技术
Pub Date : 2024-08-05 DOI: 10.1038/s44287-024-00081-2
Junhyuk Bang, Seok Hwan Choi, Kyung Rok Pyun, Yeongju Jung, Sangwoo Hong, Dohyung Kim, Youngseok Lee, Daeyeon Won, Seongmin Jeong, Wooseop Shin, Seung Hwan Ko
Soft robots, capable of safe interaction with delicate objects through their flexibility and compliance, are attracting attention in various real-world applications as manipulators, biomedical devices and wearable tools. As these technologies advance, the ability to perform complex tasks in a robust and reliable way becomes essential. Thus, the incorporation of embedded intelligence in soft robots, which enables them to perceive external environments and generate appropriate actions, is increasingly important. Inspiration from sophisticated biological systems, which exhibit optimized behaviours through the acquisition of external information, promotes the development of intelligent soft robots. Here, we introduce biomimicry strategies for intelligent soft robotics and highlight progress in how soft robots interact with their environment and perform tasks. First, we discuss sensors inspired by the sensory nervous systems and soft actuators inspired by the musculoskeletal systems. Furthermore, we investigate various applications such as manipulation, exploration, wearable devices, biomedical devices and imperceptible devices. We conclude discussing the challenges and offering a perspective on the future direction of this field. Soft robots are evolving to perform increasingly complex tasks, with biomimicry having a fundamental role in their development. This Review details biomimetic strategies and pivotal advances in sensors, actuators and applications of intelligent soft robotics.
软体机器人具有柔韧性和顺应性,能够与精密物体进行安全互动,在现实世界的各种应用中,软体机器人作为机械手、生物医学设备和可穿戴工具备受关注。随着这些技术的发展,以稳健可靠的方式执行复杂任务的能力变得至关重要。因此,在软体机器人中融入嵌入式智能,使其能够感知外部环境并产生适当的行动,就变得越来越重要。复杂的生物系统通过获取外部信息表现出最优化的行为,从这些系统中获得的灵感促进了智能软体机器人的发展。在此,我们将介绍智能软体机器人的仿生策略,并重点介绍软体机器人在与环境互动和执行任务方面取得的进展。首先,我们讨论了受感觉神经系统启发的传感器和受肌肉骨骼系统启发的软执行器。此外,我们还研究了各种应用,如操纵、探索、可穿戴设备、生物医学设备和不可感知设备。最后,我们讨论了这一领域所面临的挑战,并展望了这一领域的未来发展方向。
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Nature Reviews Electrical Engineering
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