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Matter that learns: A closed-AI-loop journey in energetic materials 学习的物质:能量材料的封闭ai循环之旅
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102530
Lei Zhang
This is a perspective on how energetic materials can learn—and teach. What began as a search for high-energy-density structure and high stability has grown into a dialogue among matter, models, and machines. Along this path, the ideas of dual aromaticity, multiscale thinking, and intelligent design converged into a single loop: letting materials guide their own discovery. This piece reflects on that journey and argues for a more reciprocal relationship between science and matter itself.
这是一个关于能量材料如何学习和教学的观点。一开始是对高能量密度结构和高稳定性的探索,现在已经发展成为物质、模型和机器之间的对话。沿着这条道路,双重芳香性、多尺度思维和智能设计的理念融合成一个单一的循环:让材料引导自己的发现。这篇文章反映了这段旅程,并主张在科学与物质本身之间建立一种更加互惠的关系。
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引用次数: 0
Powering chemical hydrogen storage with photothermochemical catalysis 光热化学催化为化学储氢提供动力
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102480
Xinran Li , Cong Liu , Xiangkun Elvis Cao , Yang-Fan Xu , Xiangdong Yao
Hydrogen is considered a clean energy source that could replace fossil fuels in a future carbon-neutral society. However, persistent challenges associated with low hydrogen storage density and significant energy consumption inherent in conventional high-pressure gaseous and cryogenic liquid hydrogen storage remain. To this end, chemical hydrogen storage has emerged as a viable alternative. Furthermore, substantial progress has been achieved by incorporating renewable and potent light energy into hydrogen uptake and release processes, indicating a promising avenue for addressing the global energy crisis and enhancing the efficiency of hydrogen storage processes. This review comprehensively summarizes recent advancements in material design and their applications in various light-driven photothermochemical hydrogen storage systems. The roles and mechanisms of these materials are discussed in detail to underscore the recent progress. Ultimately, this paper aims to highlight existing challenges and propose future directions for research and application in light-advanced hydrogen storage.
氢被认为是一种清洁能源,可以在未来的碳中和社会中取代化石燃料。然而,传统的高压气体和低温液态氢储存方法所固有的低氢储存密度和巨大的能量消耗仍然存在挑战。为此,化学储氢已成为一种可行的替代方案。此外,将可再生和强大的光能纳入氢的吸收和释放过程已经取得了实质性进展,为解决全球能源危机和提高氢储存过程的效率指明了一条有希望的途径。本文综述了近年来材料设计及其在各种光热化学储氢系统中的应用。详细讨论了这些材料的作用和机制,以强调最近的进展。最后,本文旨在强调当前存在的挑战,并提出未来轻型先进储氢技术的研究和应用方向。
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引用次数: 0
CGformer: Transformer-enhanced crystal graph network with global attention for material property prediction CGformer:具有全局关注的变压器增强晶体图网络,用于材料性能预测
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102380
Kehao Tao , Jiacong Li , Wei He , An Chen , Yanqiang Han , Feiming Huang , Fuqiang Huang , Jinjin Li
Crystal graph convolutional neural networks (CGCNNs) pioneered data-efficient property prediction by representing crystals as graphs. However, aggregating messages only between nearest-neighbor atoms makes their receptive field size limited, preventing it from capturing the long-range atomic correlations that govern ion transport in disordered lattices. We introduce CGformer, a transformer-enhanced crystal graph network whose global attention spans all atom-bond interactions, enabling accurate property prediction while excelling in complex lattices. We deployed CGformer on high-entropy Na-ion solid-state electrolytes (HE-NSEs), achieving a 25% reduction in mean absolute error compared to that with CGCNNs. We coupled CGformer with unsupervised clustering to scan 148,995 Na super ionic conductor-type (NASICON-type) dopants and pinpoint 18 compositions. Six top-ranked HE-NSEs were synthesized and verified, revealing room temperature conductivities up to 0.256 mS cm−1 and activation energies as low as 0.235 eV, surpassing the undoped analog. CGformer provides a transferable framework that can be extended to other advanced materials, including lithium electrode materials, multivalent-ion conductors, and thermoelectric materials.
晶体图卷积神经网络(CGCNNs)通过将晶体表示为图形,开创了数据高效的属性预测。然而,仅在最近邻的原子之间聚集信息会限制它们的接受场大小,从而阻止它捕获控制无序晶格中离子传输的远程原子相关性。我们介绍了CGformer,这是一种变压器增强的晶体图网络,其全局关注涵盖所有原子键相互作用,在复杂晶格方面表现出色的同时,能够准确预测属性。我们将CGformer部署在高熵na离子固态电解质(HE-NSEs)上,与cgcnn相比,平均绝对误差降低了25%。我们将CGformer与无监督聚类相结合,扫描了148,995种Na超离子导体型(nasicon型)掺杂剂,并确定了18种成分。合成并验证了6个顶级he - nse,室温电导率高达0.256 mS cm−1,活化能低至0.235 eV,超过了未掺杂的模拟物。CGformer提供了一个可转移的框架,可以扩展到其他先进材料,包括锂电极材料,多价离子导体和热电材料。
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引用次数: 0
Dynamic lubricating interfaces for three-dimensional conformal wrapping of thin-film electronic devices 薄膜电子器件三维保形包覆的动态润滑界面
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102515
Feifei Lin , Heming Xu , Weiwei Zhao , Shujuan Liu , Qiang Zhao
Three-dimensional conformal electronics have garnered significant interest in biomedical devices, the Internet of Things, and aerospace applications. However, wrapping thin-film electronic devices onto three-dimensional surfaces can lead to residual stress and device failure. In this preview, we highlight a droplet-printing strategy that leverages lubricating interfaces for damage-free wrapping and controls the behavior of the three-phase contact line to achieve precise printing.
三维共形电子学在生物医学设备、物联网和航空航天应用中引起了极大的兴趣。然而,将薄膜电子器件包裹在三维表面上可能导致残余应力和器件失效。在这个预览中,我们重点介绍了一种液滴打印策略,该策略利用润滑界面进行无损伤包装,并控制三相接触线的行为,以实现精确打印。
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引用次数: 0
Sunlight-powered multicolor and uniform luminescence in material-engineered living plants 在材料工程的活植物中,由阳光驱动的多色和均匀发光
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102370
Shuting Liu , Yufei An , Haoran Zhang , Wei Li , Jianle Zhuang , Chaofan Hu , Yingliang Liu , Bingfu Lei , Rui Zou , Xuejie Zhang
Plant-based lighting holds significant potential across various fields, including architecture and urban planning. However, manipulating luminescence color and intensity in plants has been challenging. Traditional genetic engineering approaches are constrained by the limited diversity of bioluminescent genes. Material-engineered plants often have poor optical performance due to increased surface defects in nanoparticles, and particle transport is further limited by the spatially resolved physics of plants. To address these challenges, we innovatively introduced micron-sized afterglow particles (>5 μm) into Echeveria ‘Mebina’. This succulent’s compact microstructure and abundant intercellular spaces facilitate efficient transport of larger particles, resulting in uniform, enhanced, multicolor luminescence. This approach surpasses the traditional trade-off between particle size and luminescence performance, producing brightly luminescent plants with sunlight recharging and, for the first time, enabling successful development of multicolor luminescent plants. The process is straightforward and cost-effective and achieves luminescence within 10 min, paving the way for practical applications in plant-based lighting.
植物照明在包括建筑和城市规划在内的各个领域都具有巨大的潜力。然而,控制植物发光的颜色和强度一直是一个挑战。传统的基因工程方法受到生物发光基因多样性有限的限制。由于纳米颗粒表面缺陷的增加,材料工程植物往往具有较差的光学性能,并且粒子的传输进一步受到植物空间分辨物理的限制。为了应对这些挑战,我们创新地将微米级的余辉颗粒(>5 μm)引入到月影草中。这种肉质植物紧凑的微观结构和丰富的细胞间空间有助于大颗粒的有效运输,从而产生均匀、增强的多色发光。这种方法超越了传统的颗粒大小和发光性能之间的权衡,生产出具有阳光充电的明亮发光植物,并首次实现了多色发光植物的成功开发。该工艺简单且具有成本效益,可在10分钟内实现发光,为植物照明的实际应用铺平了道路。
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引用次数: 0
High-performance phosphate cathode from revitalizing spent battery slag via Joule heating 焦耳加热再生废电池渣制备的高性能磷酸盐阴极
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102322
Zejian Liu , Jing Gu , Gongqi Liu , Yufeng Wu , Shaonan Tian , Jun Yang , Haoran Yuan , Yong Chen
Spent lithium batteries (S-LIBs) are crucial for decoupling energy-metal demands from natural mineral extraction, with hydrometallurgy being the main lithium recovery method. However, spent slag management remains unexplored. We present a rapid (>99%) metal recovery technique using Joule-heating-induced high-temperature shock (HTS), converting spent LiMn2O4 and ferrophosphorus slag into LiMnFePO4 in 1 s, defying traditional cathode synthesis. This achieves unprecedented material conversion efficiency, with exceptional energy density (579 Wh kg−1) and cycling stability (87% capacity retention after 1,000 cycles). Compared with direct recycling or hydrometallurgy, multi-waste recycling reduces greenhouse gas emissions and energy consumption. A continuous industrial-grade HTS platform integrates smart manufacturing, accelerating LIB regeneration and production. This work establishes an efficient framework for sustainable closed-loop LIB recycling systems.
废锂电池(s - lib)对于从天然矿物提取中分离能源金属需求至关重要,湿法冶金是主要的锂回收方法。然而,废渣管理仍未得到探索。我们提出了一种快速(>99%)金属回收技术,利用焦耳加热诱导高温冲击(HTS),在1秒内将废LiMn2O4和磷铁渣转化为LiMnFePO4,而不是传统的阴极合成。这实现了前所未有的材料转换效率,具有卓越的能量密度(579 Wh kg−1)和循环稳定性(1000次循环后容量保持87%)。与直接回收或湿法冶金相比,废物多重回收减少了温室气体排放和能源消耗。连续工业级HTS平台集成智能制造,加速LIB再生和生产。这项工作为可持续的闭环LIB回收系统建立了一个有效的框架。
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引用次数: 0
Meta-structured electret heterointerface for resilient and adaptive tele-perception in embodied intelligence 元结构驻极体异界面在具身智能弹性和自适应远端感知中的应用
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102363
Yan Du , Penghui Shen , Houfang Liu , Zhiwei Zhang , Feiyao Yang , Daping Chu , Tianling Ren , Zhong Lin Wang , Di Wei
Tele-perception is essential for embodied artificial intelligence, enabling adaptive systems and real-time human-machine interactions (HMIs). However, conventional electret-based systems suffer rapid charge dissipation, limiting the range to under 1 m and reducing stability in dynamic environments. Here, we propose a meta-structured heterointerface with a nano-architectured electret skin (NAES). It integrates a charge transport layer (CTL) for dynamic redistribution and a charge blocking layer (CBL) for electrostatic trapping, enabling bulk charge retention instead of surface-confined charge. This architecture achieves a 3-m sensing range with high sensitivity, ΔV/Δd = 21.8, significantly outperforming traditional systems. Signal processing algorithms decouple electrostatic responses from humidity and Gaussian noise, ensuring robust, adaptive perception. The system replaces the conventional “approach→touch→interact” sequence with a closed-loop “tele-perception→interact” model. This work establishes a universal charge-trapping paradigm with broad implications for remote control, neuromorphic computing, and real-world applications of embodied intelligence systems.
远程感知对于具身人工智能至关重要,可以实现自适应系统和实时人机交互(hmi)。然而,传统的基于驻极体的系统存在快速的电荷耗散,将范围限制在1米以下,并且降低了动态环境中的稳定性。在这里,我们提出了一种具有纳米结构驻极体皮肤(NAES)的元结构异质界面。它集成了用于动态再分配的电荷传输层(CTL)和用于静电捕获的电荷阻断层(CBL),从而实现了大量电荷保留而不是表面限制电荷。该架构实现了3米的高灵敏度传感范围,ΔV/Δd = 21.8,显著优于传统系统。信号处理算法从湿度和高斯噪声中解耦静电响应,确保鲁棒,自适应感知。该系统以闭环“远程感知→交互”模型取代了传统的“接近→触摸→交互”序列。这项工作建立了一个通用的电荷捕获范式,对远程控制、神经形态计算和实体智能系统的实际应用具有广泛的影响。
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引用次数: 0
Unknowium, beyond the banana, and AI discovery in materials science 香蕉之外的未知,以及材料科学中的人工智能发现
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102514
Steve Cranford
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引用次数: 0
Color films, cool cities 彩色电影,酷酷的城市
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102535
Hao Chen (陈浩) , Yurong Fan (樊煜熔) , Xiangjun Liu (刘向军) , Jingchong Liu (刘敬崇) , Cunhai Wang (王存海)
Conventional super-white coatings often conflict with architectural aesthetics and can exacerbate urban glare and heat trapping. Fu et al.1 introduce photoluminescence-based aesthetic composites that harness rare-earth-doped phosphors to convert incident sunlight into longer-wavelength emissions, achieving vivid, angle-insensitive colors while maintaining high cooling performance. This opens promising avenues for scalable, visually appealing, and energy-efficient building skins that can enhance both environmental sustainability and urban livability.
传统的超白涂料往往与建筑美学相冲突,并可能加剧城市眩光和热量捕获。Fu et al.1介绍了基于光致发光的美学复合材料,该复合材料利用稀土掺杂荧光粉将入射阳光转换为更长的波长,在保持高冷却性能的同时实现生动,角度不敏感的颜色。这为可扩展、具有视觉吸引力和节能的建筑表皮开辟了有希望的道路,可以增强环境可持续性和城市宜居性。
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引用次数: 0
Amplified sensitivity of rate-dependent mechanoluminescent metamaterials 速率依赖性机械发光超材料的放大灵敏度
IF 17.5 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-03 DOI: 10.1016/j.matt.2025.102335
Chenghai Li , Kai Qian , Fangchen Zhao , Nicholas Boechler , Shengqiang Cai
Mechanoluminescent (ML) materials (MLMs) convert forces into light, offering great potential for stress sensing, optical signaling, and energy transduction. Among them, ZnS/polydimethylsiloxane composites have gained wide attention due to their exceptional stretchability, repeatability, and rate-dependent brightness. However, their rate dependence requires fast loading to generate observable light, limiting their applicability in slow-loading scenarios. Here, we propose an MLM design that leverages snap-through buckling to amplify the local strain rate in MLMs. Due to the incorporation of this mechanism, our MLMs exhibit high sensitivity and brightness in response to slow external loading, maintaining enhanced ML performance over 3,000 cycles. Finally, we showcase proof-of-concept applications of MLMs for mechanically reprogrammable information storage and optical display. In darkness, encoded information is displayed through luminescent patterns without requiring any electronics. Our study offers useful insights into designing mechanoresponsive systems by integrating architectural designs with responsive materials for expanded capabilities.
机械发光材料(MLMs)将力转化为光,在应力传感、光信号和能量转导方面具有很大的潜力。其中,ZnS/聚二甲基硅氧烷复合材料因其优异的可拉伸性、可重复性和与速率相关的亮度而受到广泛关注。然而,它们的速率依赖性需要快速加载才能产生可观测的光,这限制了它们在慢加载场景中的适用性。在这里,我们提出了一种传销设计,利用通过屈曲来放大传销中的局部应变率。由于结合了这种机制,我们的MLMs在响应缓慢的外部负载时表现出高灵敏度和亮度,在3000次循环中保持增强的ML性能。最后,我们展示了传销在机械可编程信息存储和光学显示方面的概念验证应用。在黑暗中,编码信息通过发光模式显示,而不需要任何电子设备。我们的研究为设计机械响应系统提供了有用的见解,通过将建筑设计与响应材料相结合来扩展功能。
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引用次数: 0
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