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Interfacial insight 界面洞察力
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-07-03 DOI: 10.1038/s41578-025-00827-w
Claire Ashworth
An article in Science Advances reports a cryo-electron microscopy approach for the nanoscale imaging of dynamic interfaces in lithium metal batteries.
《科学进展》上的一篇文章报道了一种低温电子显微镜方法,用于锂金属电池动态界面的纳米级成像。
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引用次数: 0
Spent battery regeneration for better recycling 废电池再生,更好地回收利用
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-07-01 DOI: 10.1038/s41578-025-00816-z
Yun Zhao, Hao Du, Yuqiong Kang, Jie Zhang, Bo Lan, Zhenyu Guo, Maria-Magdalena Titirici, Yunlong Zhao, Naser Tavajohi, Feiyu Kang, Baohua Li
Current lithium-ion battery recycling extracts valuable metals while discarding much of the battery’s leftover value. An emerging strategy called direct battery regeneration upends this model, restoring the battery’s performance without taking it apart — presenting a more efficient, sustainable option for end-of-life batteries.
目前的锂离子电池回收提取了有价值的金属,同时丢弃了电池的大部分剩余价值。一种名为“电池直接再生”的新策略颠覆了这种模式,在不拆开电池的情况下恢复电池的性能——为报废电池提供了一种更高效、更可持续的选择。
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引用次数: 0
Publisher Correction: Overcoming copper stability challenges in CO2 electrolysis 出版商更正:克服铜在二氧化碳电解中的稳定性挑战
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-06-27 DOI: 10.1038/s41578-025-00825-y
Jesse Kok, Petru P. Albertini, Jari Leemans, Raffaella Buonsanti, Thomas Burdyny
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引用次数: 0
Synergistic integration of materials in medical microrobots for advanced imaging and actuation 用于先进成像和驱动的医用微型机器人材料的协同集成
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-06-27 DOI: 10.1038/s41578-025-00811-4
Paul Wrede, Eva Remlova, Yi Chen, Xosé Luís Deán-Ben, Metin Sitti, Daniel Razansky
Medical microrobotics capitalizes on smart materials to target specific body sites effectively, precisely and locally, thus holding promise to revolutionize precision medicine in the future. Advances in material science and microfabrication or nanofabrication techniques have facilitated the implementation of a myriad of functionalities into microrobots. Efficient navigation and monitoring of microrobots within the highly dynamic and often inaccessible environment of living mammalian tissues is paramount for their effective in vivo applications and eventual clinical translation. This need calls for the deployment of biomedical imaging modalities with adequate sensitivity, penetration depth and spatiotemporal resolution, as well as for efficient integration of biocompatible contrast materials into microrobots. In this Review, we discuss emerging approaches for multiplexed imaging and actuation of microrobots within complex biological environments, focusing on the synergistic combination of responsive and contrasting materials to achieve desired morphological and functional properties, in vivo visibility and biosafety. The convergence between microrobotics and biomedical imaging paves the way for a new generation of medical microrobots enabling the use of energy for both mechanical actuation and efficient monitoring of their activity in vivo. Material selection has a crucial role in enhancing the functionality of medical microrobots. This Review highlights the synergy between contrast and responsive materials for real-time imaging and actuation in minimally invasive medical treatments.
医疗微型机器人利用智能材料有效、精确和局部地瞄准特定的身体部位,从而有望在未来彻底改变精准医疗。材料科学和微加工或纳米加工技术的进步促进了微型机器人中无数功能的实现。在高动态和难以接近的哺乳动物活体组织环境中,微型机器人的有效导航和监测对于它们在体内的有效应用和最终的临床转化至关重要。这一需求要求部署具有足够灵敏度、穿透深度和时空分辨率的生物医学成像模式,以及将生物相容性造影剂材料有效地整合到微型机器人中。在这篇综述中,我们讨论了复杂生物环境中微型机器人的多路成像和驱动的新方法,重点是响应和对比材料的协同组合,以实现所需的形态和功能特性,体内可见性和生物安全性。微型机器人和生物医学成像之间的融合为新一代医疗微型机器人铺平了道路,使其能够利用能量进行机械驱动和有效监测其体内活动。
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引用次数: 0
Understanding solid-state battery electrolytes using atomistic modelling and machine learning 使用原子模型和机器学习来理解固态电池电解质
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-06-24 DOI: 10.1038/s41578-025-00817-y
Ana C. C. Dutra, Benedek A. Goldmann, M. Saiful Islam, James A. Dawson
Solid-state batteries that use solid electrolytes are attracting interest for their potential safety, stability and high energy density, making them ideal for next-generation technologies including electric vehicles and grid-scale renewable energy storage. Advances in solid electrolytes require the design and optimization of current and new materials, informed by a deeper understanding of their properties on the atomic and nanoscale. This Review highlights progress in using atomistic modelling and machine learning techniques to gain valuable insights into inorganic crystalline solid electrolytes for lithium-based and sodium-based batteries. We discuss computational studies on oxide, sulfide and halide materials that examine three fundamental properties critical to their performance as solid electrolytes: fast-ion conduction mechanisms, interfacial effects and chemical stability. The resulting insights help to identify design strategies for the future development of improved solid-state batteries. Solid-state battery electrolytes offer the potential for enhanced safety, stability and energy density in both current and future technologies. This Review discusses the vital role that atomistic modelling and machine learning techniques continue to play in understanding and improving inorganic crystalline solid electrolytes for lithium-based and sodium-based batteries.
使用固体电解质的固态电池因其潜在的安全性、稳定性和高能量密度而吸引了人们的兴趣,使其成为下一代技术的理想选择,包括电动汽车和电网规模的可再生能源存储。固体电解质的发展需要对现有材料和新材料进行设计和优化,并对其在原子和纳米尺度上的特性有更深入的了解。本综述重点介绍了利用原子建模和机器学习技术获得锂基和钠基电池无机晶体固体电解质的有价值见解的进展。我们讨论了氧化物、硫化物和卤化物材料的计算研究,研究了对它们作为固体电解质的性能至关重要的三个基本性质:快速离子传导机制、界面效应和化学稳定性。由此产生的见解有助于确定改进固态电池未来发展的设计策略。
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引用次数: 0
Ionic potential for battery materials 电池材料的离子电位
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-06-24 DOI: 10.1038/s41578-025-00822-1
Qidi Wang, Yong-Sheng Hu, Hong Li, Hui-Ming Cheng, Tianshou Zhao, Chenglong Zhao
Developing high-performance rechargeable batteries requires a revolutionary advancement in battery materials, guided by a fundamental understanding of their underlying science and mechanisms. However, this task remains a challenge owing to the complex relationship among composition, structure and property in electrode and electrolyte materials. Ionic potential, a concept derived from geochemistry, has been incorporated into battery materials research since 2020 as a methodology for predicting and optimizing their functional properties. Defined as the ratio of charge number of an ion to its ionic radius, ionic potential serves as a measure of the interaction strength within the structure of a material. In this Perspective, we explore the role of ionic potential in guiding the design of advanced materials for rechargeable batteries. Specifically, we discuss how integrating ionic potential into material design frameworks can capture critical structural interactions, thereby enabling improvements in properties such as ionic conductivity, redox activity and phase transition behaviours. Furthermore, we identify the broader relevance of ionic potential in battery systems, highlighting its potential in advancing fundamental understanding and performance capabilities in battery technology. Advancing high-performance rechargeable batteries requires a deep understanding of the complex relationships among material composition, structure and property. This Perspective highlights the emerging role of ionic potential, defined as the charge-to-radius ratio of an ion, in guiding the design and optimization of battery materials.
开发高性能的可充电电池需要在电池材料方面取得革命性的进步,并以对其基础科学和机制的基本理解为指导。然而,由于电极和电解质材料的组成、结构和性能之间的复杂关系,这项任务仍然是一个挑战。离子电位是一个源自地球化学的概念,自2020年以来,它已被纳入电池材料研究,作为预测和优化其功能特性的方法。离子势的定义是离子的电荷数与其离子半径之比,是衡量材料结构内相互作用强度的指标。在本研究中,我们探讨了离子电位在指导可充电电池先进材料设计中的作用。具体来说,我们讨论了如何将离子势集成到材料设计框架中,以捕获关键的结构相互作用,从而改善离子电导率、氧化还原活性和相变行为等性能。此外,我们确定离子电位在电池系统中的广泛相关性,强调其在推进电池技术的基本理解和性能能力方面的潜力。
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引用次数: 0
Materials design and integration strategies for soft bioelectronics in digital healthcare 数字医疗中软生物电子学的材料设计和集成策略
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-06-23 DOI: 10.1038/s41578-025-00819-w
Hye Jin Kim, Ja Hoon Koo, Seunghwan Lee, Taeghwan Hyeon, Dae-Hyeong Kim
Advancements in bioelectronics are revolutionizing traditional healthcare by shifting the focus from in-hospital disease diagnosis and treatment to at-home continuous preventive care. This transformation integrates real-time health monitoring and point-of-care interventional therapies and enables artificial intelligence-based health management strategies. However, the mechanical mismatch between rigid bioelectronic devices and soft biological tissues presents important challenges, particularly in long-term applications, including poor adhesion, tissue degeneration, high noise level, signal interference and device instability. To address these challenges, soft bioelectronics — leveraging high-performance, tissue-mimicking and mechanically soft materials — has emerged as a disruptive solution. This Review highlights advancements in materials design and system-level integration strategies for soft bioelectronics, driving the development of next-generation digital healthcare technologies. We categorize materials design approaches, introduce fabrication techniques for soft bioelectronics and explore integration methods. Furthermore, we showcase applications of wearable and implantable soft bioelectronics, demonstrating their potential for continuous health monitoring and therapeutic interventions, ultimately enabling closed-loop health management. Rigid wearable and implantable bioelectronic devices present mechanical mismatches with soft biological tissues that limit their applicability. This Review systematically outlines materials and integration strategies for soft bioelectronic devices that overcome this mismatch and have the potential to enable continuous health monitoring, therapeutic interventions and closed-loop healthcare.
生物电子学的进步正在彻底改变传统医疗保健,将重点从医院疾病诊断和治疗转移到家庭连续预防护理。这种转变整合了实时健康监测和护理点介入治疗,并实现了基于人工智能的健康管理策略。然而,刚性生物电子器件和柔软生物组织之间的机械不匹配提出了重要的挑战,特别是在长期应用中,包括粘附性差、组织变性、高噪声水平、信号干扰和器件不稳定。为了应对这些挑战,利用高性能、组织模拟和机械柔软材料的软生物电子学已经成为一种颠覆性的解决方案。本综述重点介绍了软生物电子学在材料设计和系统级集成策略方面的进展,推动了下一代数字医疗技术的发展。我们对材料设计方法进行了分类,介绍了软生物电子学的制造技术,并探索了集成方法。此外,我们还展示了可穿戴和可植入软生物电子学的应用,展示了它们在持续健康监测和治疗干预方面的潜力,最终实现了闭环健康管理。
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引用次数: 0
Next-generation materials for nucleic acid delivery 下一代核酸传递材料
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-06-16 DOI: 10.1038/s41578-025-00814-1
Roy van der Meel, Paul A. Wender, Olivia M. Merkel, Irene Lostalé-Seijo, Javier Montenegro, Ali Miserez, Quentin Laurent, Hanadi Sleiman, Paola Luciani
Efficient and targeted delivery of nucleic acids is critical for realizing the full therapeutic potential of gene editing, vaccines and RNA-based drugs, and emerging delivery platforms offer innovative solutions through their diverse architectures, tunable properties and distinct biological interactions. In this Viewpoint, researchers working across different delivery platforms — including lipid nanoparticles, synthetic polymers, peptide amphiphiles, coacervate microdroplets, DNA nanostructures and extracellular vesicles — discuss the most promising directions and the main challenges in shaping the future of nucleic acid delivery.
高效和有针对性的核酸递送对于充分发挥基因编辑、疫苗和rna药物的治疗潜力至关重要,新兴的递送平台通过其多样化的结构、可调的特性和独特的生物相互作用提供了创新的解决方案。在这个观点中,研究人员跨越不同的传递平台——包括脂质纳米颗粒、合成聚合物、肽两亲体、凝聚微滴、DNA纳米结构和细胞外囊泡——讨论了塑造核酸传递未来的最有希望的方向和主要挑战。
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引用次数: 0
Overcoming copper stability challenges in CO2 electrolysis 克服CO2电解中铜稳定性的挑战
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-06-16 DOI: 10.1038/s41578-025-00815-0
Jesse Kok, Petru P. Albertini, Jari Leemans, Raffaella Buonsanti, Thomas Burdyny
Copper and copper-based catalysts can electrochemically convert CO2 into ethylene and higher alcohols, among other products, at room temperature and pressure. This approach may be suitable for the production of high-value compounds. However, such a promising reaction is heavily burdened by the instability of copper during CO2 reduction. To date, non-copper catalysts have also failed to supplant the activity and selectivity of copper, leaving CO2-to-C2 electrolysis in the balance. In this Perspective, we discuss copper catalyst instability from both the atomistic and the microstructure viewpoint. We motivate that increased fundamental understanding, material design and operational approaches, along with increased reporting of failure mechanisms, will contribute to overcoming the barriers to multi-year operation. Our narrative focuses on the copper catalyst reconstruction occurring during CO2 reduction as one of the major causes inducing loss of C2 activity. We conclude with a rational path forward towards longer operations of CO2-to-C2 electrolysis. Copper is the only electrocatalyst that converts carbon dioxide into multi-carbon products with ease, but it remains notoriously unstable. This Perspective explores the current state-of-the-art understanding of copper degradation mechanisms and uses these insights to motivate both atomistic and system-level approaches to overcome stability challenges.
铜和铜基催化剂可以在室温和常压下电化学地将二氧化碳转化为乙烯和高级醇,以及其他产品。这种方法可能适用于高价值化合物的生产。然而,这样一个有希望的反应是沉重的负担铜在CO2还原过程中的不稳定性。迄今为止,非铜催化剂也未能取代铜的活性和选择性,使二氧化碳到c2的电解处于平衡状态。本文从原子和微观两方面讨论了铜催化剂的不稳定性。我们认为,增加对基础知识的理解、材料设计和操作方法,以及增加对故障机制的报告,将有助于克服多年运行的障碍。我们的叙述重点是铜催化剂的重建发生在CO2还原过程中,这是导致C2活性损失的主要原因之一。最后,我们提出了一条合理的途径,以实现更长时间的二氧化碳- c2电解操作。
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引用次数: 0
Swarming intelligence in self-propelled micromotors and nanomotors 自推进式微马达和纳米马达中的群体智能
IF 86.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-06-13 DOI: 10.1038/s41578-025-00818-x
Tania Patiño Padial, Shuqin Chen, Ana C. Hortelão, Ayusman Sen, Samuel Sánchez
Living organisms, from single cells to multicellular systems, are capable of moving as a response to local stimuli using swarming intelligence, a trait researchers aim to replicate in artificial systems. Common strategies observed in natural swarms include motility towards specific signals from the environment, communication among individual units, coordination and cooperation to achieve complex tasks. Inspired by these features, the focus in bioinspired motile nanosystems has shifted from studying individual units to exploring and controlling collective behaviours. Various propulsion mechanisms including magnetic, electric or acoustic fields, as well as onboard chemical reactions, have enabled artificial micromotor and nanomotor (MNM) swarms that can move collectively as a response to environmental inputs. The controlled navigation and improved tissue penetration of MNM swarms is promising within the biomedical field, including in the active transport of medical agents. Despite these exciting advances, artificial MNMs still fall short of the complexity and autonomy seen in biological systems. This Perspective explores the collective behaviour of biological swarms and bioinspired artificial self-propelled nanosystems. We discuss how swarming intelligence applied to synthetic active nanosystems enables swarms to perform various tasks. Finally, we discuss challenges, including material limitations, information storage, communication between swarms and prospects for intelligent swarming systems. Biological swarming behaviours inspire artificial motile nanosystems. This Perspective highlights recent advances in swarm navigation and biomedical applications, while addressing challenges such as communication, control and material constraints in developing intelligent synthetic swarms.
生物,从单细胞到多细胞系统,都能够利用群体智能对局部刺激做出反应而移动,研究人员的目标是在人工系统中复制这一特征。在自然群体中观察到的常见策略包括对来自环境的特定信号的运动,个体单位之间的沟通,协调和合作以完成复杂的任务。受这些特征的启发,生物动力纳米系统的重点已经从研究单个单位转移到探索和控制集体行为。包括磁场、电场或声场在内的各种推进机制,以及机载化学反应,已经使人工微电机和纳米电机(MNM)群体能够作为对环境输入的响应而集体移动。在生物医学领域,包括药物的主动运输中,MNM群的控制导航和改进的组织渗透是很有前途的。尽管取得了这些令人兴奋的进展,但人工纳米材料仍然缺乏生物系统的复杂性和自主性。本展望探讨了生物群体的集体行为和生物启发的人工自推进纳米系统。我们讨论了群体智能如何应用于合成活性纳米系统,使群体能够执行各种任务。最后,我们讨论了挑战,包括材料限制,信息存储,群体之间的通信和智能群体系统的前景。
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引用次数: 0
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Nature Reviews Materials
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