Harnessing stereochemically active Sn-chemistry to engineer exciton localization in core-shell halide perovskite nanocrystals [0.03%]
利用立体化学活性的Sn化学在卤化物钙钛矿核心/壳纳米晶体中工程化激子局域化
Dhritismita Sarma,Arup Mahata
Dhritismita Sarma
Three-dimensional (3D) halide perovskite nanocrystals (HPNs) offer high photoluminescence quantum yields with compositionally tunable emission; however, they suffer from the tendency of exciton localization toward the surface, leading to no...
Geometry-driven multimodal tactile sensors with high-fidelity perception enabled by strain-invariant oxidized liquid metal electrodes [0.03%]
应变不变的氧化液态金属电极驱动的高保真度感知几丁质多模态触觉传感器
Huidam Woo,Jeeeun Lee,Jisu Kim et al.
Huidam Woo et al.
Multi-axis tactile sensors that simultaneously resolve normal and shear forces are indispensable for dexterous robotic manipulation and human-robot interaction. Capacitive platforms, however, suffer from microcrack-induced resistance fluctu...
Fan Feng,Hongjie Cui,Linlin Hou et al.
Fan Feng et al.
As a cornerstone of the global chemical industry and agriculture, ammonia (NH3) synthesis faces a pressing challenge for a sustainable future due to the harsh conditions used and substantial CO2 emission in the conventional Haber-Bosch proc...
Dichao Ning,Mengyao Yang,Qian Shi
Dichao Ning
Most structural failures, such as those that occur in aircraft wings, rotating blades, and tires, are caused by fatigue. During cyclic loading, polymers often accumulate substantial and irreversible damage, eventually leading to failure. To...
Bioinspired ultra-fast dissolving core-sheath beaded-structured nanofibrous membranes via one-step emulsion electrospinning for skin moisturization [0.03%]
一步法乳液电纺生物启发的超快溶解核壳结构微球纳米纤维膜用于皮肤保湿
Yifan Si,Linfei Li,Yuanzhang Jiang et al.
Yifan Si et al.
Dry electrospun nanofibrous facial masks (D-ENFMs) have emerged as a promising platform in nano/biomaterials research, attributed to their eco-friendly nature and convenient use. However, their practical application is significantly hindere...
A synergistic bio-electro-topological strategy based on an MXene/silk fibroin hydrogel and electrical stimulation for diabetic wound healing [0.03%]
一种基于MXene/丝素水凝胶和电刺激的协同生物-电-拓扑策略用于糖尿病伤口修复
Wenli Du,Yuanyuan Xu,Yuecheng Peng et al.
Wenli Du et al.
Diabetic wound healing is impeded by a complex pathological microenvironment involving oxidative stress, infection, chronic inflammation, and impaired regeneration. To address these multifactorial barriers, a synergistic "bio-electro-topolo...
Xujia Gong,Amar Fakhredine,Carmine Autieri
Xujia Gong
The relativistic spin-momentum locking has been proven in time-reversal-breaking classes of materials with zero net magnetization in the non-relativistic limit, such as altermagnets and other non-collinear magnets. However, what happens in ...
Monolithic additive manufacturing of a fluid-structure coupled architected cellular mechanical system for rate-adaptive enhanced energy dissipation [0.03%]
一体化加法制造的流-固耦合架构蜂窝机械系统实现变幅耗能增强型能量耗散
Jawad Ahmad,Valerii Zudov,Mayur Jiyalal Prajapati et al.
Jawad Ahmad et al.
Passive damping systems combining high dissipation capacity, rate-adaptivity and cyclic durability remain unrealised in conventional architected materials (purely structural damping mechanism), while conventional fluid dampers require compl...
Decoupling parameters of adhesion from viscoelasticity in the human perception of stickiness via shear-stiffening elastomers [0.03%]
利用剪切变稠弹性体解耦人类感知粘性的附着力和粘弹性能参数
Nishtha Pant,Tulaja Shrestha,Laure V Kayser et al.
Nishtha Pant et al.
In engineering, the adhesion or "tack" of an object can be related to its bulk material properties and interfacial adhesion, sometimes quantified by a peak adhesive force or work of adhesion. However, it is unknown how these engineering con...
Thermodynamic assessment of machine learning models for solid-state synthesis prediction [0.03%]
热力学评估机器学习模型在固态合成预测中的应用
Jane Schlesinger,Simon Hjaltason,Nathan J Szymanski et al.
Jane Schlesinger et al.
Machine learning models have recently emerged to predict whether hypothetical solid-state materials can be synthesized. These models aim to circumvent direct first-principles modeling of solid-state phase transformations, instead learning f...