http://onlinelibrary.wiley.com/rss/journal/10.1002/(ISSN)1521-4095

Strain engineering in 2D van der Waals ferromagnet Fe₃GeTe₂ is studied using scanning transmission X-ray microscopy. Spatially varying strain from micropillar arrays induced local 10 K Curie temperature increases, stabilizing magnetic domains including skyrmions and skyrmion bags near pillar corners. This strain-control of topological spin textures offers new avenues for spintronic technologies.

Strain engineering promises to enable manipulation and control of the properties of exfoliated flakes of 2D van der Waals (vdW) ferromagnets for spintronic applications. However, while previous studies of strain effects have focused on global properties, the impact on local magnetic spin textures remains unexplored. Here, manipulation of magnetism in the 2D ferromagnet Fe3GeTe2 (FGT) is demonstrated using geometry-induced strain. Employing scanning transmission X-ray microscopy (STXM), the effects of spatially varying strain profiles on the magnetic order of FGT sheets stamped onto micropillar arrays are directly visualized. It is found that the in-plane strain components, with magnitudes <0.5%, locally elevate the Curie temperature of FGT by 10 K, stabilizing magnetic domains near the pillar corners. These domains include skyrmions and higher-order topological spin textures such as skyrmioniums and skyrmion bags. The possibility to locally seed and control topological spin textures via strain opens new avenues for future spin-based information technologies.

A biomimetic hybrid radiosensitizer is engineered by integrating the hypoxia-activated prodrug banoxantrone and CeO2 nanozymes into mesoporous silica-coated Bi2O3 nanoparticles, followed by camouflage coating with cancer-cell-derived membranes. The biomimetic radiosensitizer substantially improves the radiosensitization efficacy of both normoxic and hypoxic cancer cells and markedly suppresses lung metastasis through reactive oxygen species-mediated remodeling of the extracellular matrix.

Over the past 120 years, significant efforts are dedicated to delivering maximum radiation doses to tumor sites while sparing adjacent normal tissues as much as possible. Despite encouraging progress in the development of heavy metal-based nanoscale radiosensitizers, radiotherapy often fails to fully eradicate hypoxic tumors, leading to local recurrence or even progression to distant metastasis. In this study, a versatile biomimetic hybrid radiosensitizer is engineered by integrating the hypoxia-activated prodrug banoxantrone and CeO2 nanozymes into mesoporous silica-coated Bi2O3 nanoparticles (NPs), followed by camouflage coating with cancer-cell-derived membranes. Compared to naked Bi2O3 NPs and free banoxantrone alone, the radiosensitization efficacy of the biomimetic NPs is substantially enhanced toward both normoxic and hypoxic cancer cells. Moreover, lung metastasis is markedly inhibited by reactive oxygen species-mediated remodeling of the extracellular matrix through the activity of CeO2 nanozymes. As confirmed by in vitro and in vivo results, the biomimetic hybrid radiosensitizer enhances radiotherapy against lung metastasis with fewer side effects. This study provides compelling evidence for the development of next-generation radiosensitizers with optimized functionalities using biomimetic hybrid engineering to finely balance the benefits and risks of radiotherapy.

This study presents a deep learning-assisted generative model for electrolyte additives in lithium metal batteries (LMBs). The approach overcomes data scarcity by proposing the molecular categorization method and achieves 100% generative efficiency. The model led to the discovery of 2,4-bis(2-fluoroethoxy) tetrafluorocyclotriphosphazene, a flame-resistant additive that significantly improves capacity retention, offering a promising solution for safe and high-performance LMBs.

Electrolyte additives are crucial for accelerating the commercialization of lithium metal batteries (LMBs), yet designing effective additives is challenging due to the need to balance conflicting properties, such as eectrochemical performance and nonflammability. To address this challenge, a deep learning-assisted generative model is developed for multiobjective optimization of electrolyte additives. Overcoming data scarcity, the dataset is expanded using a molecular categorization derivation method, increasing single-property data points to 70 095 multiproperty data points. Coupled with an asynchronous limited decoder and adversarial regulation strategy for latent distribution, this approach achieved 100% generative efficiency for structurally complex and diverse molecules in vast chemical space. The method is validated by discovering 2,4-bis(2-fluoroethoxy) tetrafluorocyclotriphosphazene (DFEPN), a novel additive with excellent flame resistance and stable dual electrode/electrolyte interphases. In a Li||LiFePO4 full cell with a commercial electrolyte, DFEPN enables an order of magnitude increase in capacity retention, outperforming the state-of-the-art flame-retardant additive ethoxy(pentafluoro)cyclotriphosphazene by 33%. This study offers a pathway for developing safe and reliable lithium battery electrolytes, particularly under severe data constraints, and has broader implications for advanced battery design.

Gold films deposited on capillary-stabilized fluidic cushion of ionic-liquid-infused nanopillar arrays show enhanced stability under large strains (∼ 180%) by effective control, mediated through liquid bridges, of film cracking progress, combined with exceptional strain-responsive sensitivity of resistance change by the cracking mechanism, this strategy offers a fluid-mechanics-based approach for robust wearable devices and soft robotic systems operating under extreme mechanical deformation.

Recent flexible electronics with conformal interfaces between devices and human bodies are prone to receive circuit failure caused by uncontrollable cracking during physiological movements. A structural engineering strategy is reported that utilizes capillary-stabilized liquid bridges to spontaneously mediate crack initiation, propagation, and coalescence for film reinforcement. Specifically, rigid nanowire array are decorated onto flexible polydimethylsiloxane substrates and the nanoscale gaps between the nanowires are filled with non-volatile ionic liquids to form well-regulated meniscus. Using metal films as a model, it is found that stretchability of an Au film deposited on this meniscus exceeds that of its flat counterpart (180 vs 30%). In-situ optical observations and fluid dynamics analyses show that liquid bridge forces mechanically hinder the propagating of crack fronts and simultaneously initiate new cracks in different locations, leading to dispersed small cracks at strains below 80%. This scattering of cracks prevents the concentrated propagation and merging of cracks into penetrating fractures, with effective electrical percolation of Au films even under a high strain of 160%, which contrasts sharply with the counterparts without liquids where penetrating cracks occur at a small strain of ≈10%. Results indicate fluid mechanics as a versatile approach to reprogram film cracking for high-performance electronics.

[001]-oriented Mo17O47/MoS2 core–shell nanowires exhibit remarkable superelasticity. Three-point bending tests confirm Young's modulus (103 GPa) matching DFT predictions. In situ scanning electron microscopy bending reveals 35% recoverable strain, unprecedented in inorganic nanowires. First-principles calculations attribute this superelasticity to reversible transitions between chemical bonding and van der Waals interactions, showing potential for flexible electronics.

Inorganic materials are usually known with high modulus and brittleness. Here the finding of a [001]-oriented Mo17O47 nanowires (NWs) material is reported with a thin MoS2 shell that exhibits superelastic deformability superior to the reported inorganic NWs. Three-point bending tests reveal that the elastic modulus of Mo17O47 crystals in the [001] direction is 103 GPa, consistent with the density functional theory (DFT)-predicted results. Furthermore, in situ bending tests via scanning electron microscopy, accomplished with finite element simulations, demonstrate that the NWs can sustain bending strains up to 35% repeatedly without showing appreciable residual deformation. First-principles calculations reveal that this extraordinary superelasticity results from the smooth transformation between the chemical bonding and physical binding (van der Waals) in the [001] direction of Mo17O47 crystal. The remarkable superelasticity of Mo17O47 NWs may offer enormous potential in flexible electronics and photonic devices.

Mechano-activated partially disordered spinel LiMn2O4 is demonstrated with high Mn utilization and a specific energy over 800 Wh kg−1 at the cathode active material (CAM) level. Surface degradation, caused by the Jahn-Teller effect in baseline commercial carbonate electrolyte (Gen 2), intensifies Mn2+ dissolution and crosstalk at high potentials. Advanced electrolytes effectively mitigate these issues, thus minimizing Li-ion inventory loss.

Mn-rich cathodes balance performance and sustainability but suffer from limited cyclability due to Mn dissolution and cathode-to-anode crosstalk. The Jahn-Teller (J-T) effect of Mn3+ is often linked to the above phenomena, such as in spinel LiMn2O4. However, in typical voltage ranges, significant Mn3+ only appears near the end of discharge, highlighting the need to reassess its role in driving Mn dissolution, structural degradation, and battery performance. Here, the spinel cathode's degree of disorder is tailored to expand the Mn redox range, enabling segmentation into J-T active and less active voltage ranges. Cycling at segmented voltage windows reveals surface degradation mechanisms with and without the major J-T effect. Despite a stronger J-T effect below 3.6 V vs. Li/Li+, Mn dissolution is less significant than above 3.6 V. Expanding the cycling window to 2.0–4.3 V causes severe degradation as the J-T active range induces a tetragonal phase and Mn2+-rich surface, driving Mn dissolution and consuming Li-ion inventory in full cells. Reducing electrolyte acidity minimizes Mn3+ disproportionation, enabling a stable dopant-free Mn-only cathode with a 250 mAh g−1 specific capacity. These findings demonstrate that full cells using Mn-rich cathodes have the potential to avoid the notorious crosstalk problem through electrolyte engineering.

Single-atom nano-islands (SANIs) are innovative confined-space single-atom systems composed of single atoms, nano-islands, and support. Due to their confined space, multiple active sites, interfacial interactions, and tunable coordination structure, SANIs catalysts exhibit excellent electrocatalytic activity, stability, and selectivity. This review comprehensively analyzes recent advancements in SANIs catalysts, and the challenges and opportunities for their development in the field of heterogeneous catalysis, and accelerating their transformation to industrial applications are discussed.

Single-atom catalysts (SACs), renowned for their maximized atomic utilization, tunable coordination environments, and unique electronic structures, are critical to energy conversion and storage. However, obstacles to their practical performance include atomic agglomeration (caused by high surface free energy) and active site passivation (due to overly strong metal–support chemical bonds). Single-atom nano-islands (SANIs) catalysts, characterized by confined spaces and innovative structural designs, have better electrocatalytic activity and stability. This review comprehensively analyzes recent advancements in SANIs catalysts, highlighting their contributions to catalytic activity, stability, structural optimization, and selectivity. We systematically summarize the design principles and strategies for SANIs electrocatalysts by focusing on material selection, metal–support interactions, and coordination structures. Finally, the challenges and opportunities associated with SANIs catalysts to promote their development in heterogeneous catalysis and accelerate their transition into industrial applications are discussed.

The polariton-enhanced Purcell (PEP) effect is demonstrated to enhance the stability of the deep blue phosphor-sensitized fluorescent (PSF) OLEDs by 3.1 X compared to PSF diodes lacking this effect. In addition, PSF-OLEDs exhibit reduced EQE roll-off and deep blue color emission. The PEP effect maximally extends PSF-OLED lifetimes in devices with the highest triplet-to-singlet energy transfer rates. This work suggests that the benefits of PEPs apply to all triplet-based OLEDs.

The stability of efficient, deep blue organic light-emitting diodes (OLEDs) remains a major challenge in the field of organic electronics. Poor device stability originates from the high probability for destructive non-radiative triplet exciton annihilation events. Phosphor-sensitized fluorescence (PSF) is proposed to achieve an efficient, deep blue color by energy transfer from phosphors to fluorophores. Recently, the polariton-enhanced Purcell (PEP) effect is introduced to decrease the triplet radiative lifetime and density, resulting in an increase in blue phosphorescent OLED lifetime. Here, the PEP effect is introduced to enhance the stability of the PSF-OLEDs. It is shown that the PEP effect increases all radiative decay rates of the phosphors and fluorophores, leading to a reduction in the triplet annihilation events. Using a Pt-complex phosphor sensitizer and a so-called multi-resonance fluorescent emitter in a PEP cavity, a 3.1-fold lifetime increase is observed at a current density of J = 10 mA cm−2, reduced EQE roll-off and deep blue color with Commission Internationale de l'Eclairage coordinates of (0.13, 0.09). The PEP effect maximally extends PSF-OLED lifetimes in devices with the highest triplet-to-singlet energy transfer rates. Moreover, this work suggests that the benefits of PEPs apply to all triplet-based OLEDs.

This study develops a muscle atrophy evaluation and rehabilitation system utilizing rare earth oxide-enhanced triboelectric sensors integrated with a multi-channel signal collector and machine learning algorithms, enabling precise assessment of ulnar nerve injury recovery. The system demonstrates high sensitivity, accuracy, and visualization capability, offering significant advances in grip strength rehabilitation monitoring and biomedical sensing applications.

Ulnar nerve injuries often lead to muscle atrophy and reduced hand function, necessitating precise monitoring and effective rehabilitation strategies. Current grip strength measurement tools rely on rigid mechanical equipment, which is inconvenient and requires frequent calibration. To address this, a muscle atrophy evaluation and rehabilitation system (MUERS) is presented, featuring a highly sensitive rare earth oxide-enhanced triboelectric sensor (RETS). Utilizing the unique electrochemical properties of rare earth oxides, RETS demonstrates a linear voltage-force response in the range of 8–80 kPa, with a maximum linear error of 1.5%. Integrated with a multi-channel STM32 signal collector, RETS enables real-time grip strength monitoring across all five fingers. Combining sensor output with an SVM algorithm, the system achieves 98.61% accuracy in identifying finger grip strength injuries and classifies damage into three levels with an average accuracy of 96.67%. MUERS evaluates rehabilitation progress by scoring grip strength and providing feedback to clinicians. Over a four-week cycle, it consistently captures improvements in muscle recovery, aiding individualized rehabilitation plans. This system offers fine-grained assessment capabilities for diagnosing and monitoring nerve injury-induced muscle atrophy, paving the way for advanced biomedical sensing and personalized rehabilitation.

Microscopic-level anion & diluent chemistry strategy is proposed to develop an advanced Ca(ClO4)2/H2O-acetonitrile (AN) electrolyte that can operate at high voltage and low temperature. The weak interaction of H2O with ClO4 − guarantees strong intramolecular O─H bonds and resulting electrolyte stability. The AN serves as a solvation diluent capable of weakening electrostatic Ca2+-ClO4 − attraction, preventing salt precipitation, and finally yielding a high-performance supercapacitor.

Aqueous supercapacitors, serving as safe and green high-power energy storage devices, hold significant potential in various applications. Exploring advanced electrolytes beyond traditional electrolytes is essential for achieving stable high-voltage and low-temperature operations. Herein, a hybrid electrolyte with a high electrochemical stability window (3.29 V) and sufficient ionic conductivity (1.5 mS cm−1 at −50 °C) is developed via hybridizing 8 m Ca(ClO4)2/H2O with acetonitrile (AN) diluent. The charged Ca2+ cations anchor the oxygen atoms in H2O molecules, preventing them from being hydrogen acceptors. Meanwhile, the ClO4 − anions weakly interact with hydrogen atoms, which ensures strong intramolecular O─H bonds in 8 m Ca(ClO4)2/H2O. The used AN can contribute to decreased salt dosage, without any compromise to electrochemical stability and safety. Furthermore, the AN with a higher donor number than ClO4 − can replace the ClO4 − in Ca2+ solvation sheaths, which reduces Ca2+−ClO4 − clusters, accordingly suppressing salt precipitation even at −50 °C. Resultantly, a symmetric supercapacitor assembled with 4.2 m Ca(ClO4)2/H2O-AN electrolyte presents high-voltage and temperature-adaptability features, with excellent rate capability and high long-term cycling stability from 25 to −50 °C at 2.3 V.

A bubble-raft-inspired nanofibrous network membrane for efficient and low-resistance air filtration is fabricated via electrospinning and phase separation. Benefiting from the single-layer polysulfone nanofibrous network (≈40 nm fiber diameter), the obtained membrane exhibits integrated structural features of small pore size, high porosity, and ultrathin thickness, which endows it with high filtration efficiency, low pressure drop, and high transparency.

Airborne particulate matter (PM) is a major global safety concern, significantly straining the ecological environment, human health, and economy. Filtration membranes, essential for PM removal, are challenging in achieving both high efficiency and low air resistance, resulting in a high pressure drop during efficient filtration. Herein, inspired by bubble rafts, an ultrathinnanofibrous network membrane is fabricated by transforming a liquid film of polysulfonesolution on electrospun fibrous scaffold into a single-layer network via nonsolvent-induced phase separation. Tailoring of the polysulfone concentration in the liquid film supported by the scaffold and of the phase separation process induced by flowing nonsolvent allows the construction of the single-layer network with interconnected nanofibers (diameter of ≈40 nm). Benefiting from the single-layer network, the membrane exhibits a small pore size (≈270 nm) at a high porosity of 90.3% and ultrathin thickness of ≈800 nm. Consequently, the membrane shows high efficiency (99.8% removal of PM0.3) at an ultralow pressure drop (<40 Pa). Moreover, the membrane exhibits high transparency (>83%) and allows the light breeze (wind speed of 3.2 m s−1) to pass through easily, enabling energy-efficient applications, such as window screens. This work provides new insights into designing membranes for efficient and low-resistance filtration and separation.

Reward-driven workflows enable fully unsupervised segmentation of atomically resolved STEM images, revealing phases and ferroic variants without any labels. By encoding domain-wall straightness and length as explicit rewards, the method automatically tunes clustering and variational-autoencoder hyperparameters. This physics-guided optimization yields robust, real-time mappings of polarization and structural domains for next-generation autonomous microscopy.

Rapid progress in aberration corrected electron microscopy necessitates development of robust methods for the identification of phases, ferroic variants, and other pertinent aspects of materials structure from imaging data. While unsupervised methods for clustering and classification are widely used for these tasks, their performance can be sensitive to hyperparameter selection in the analysis workflow. In this study, the effects of descriptors and hyperparameters are explored on the capability of unsupervised ML methods to distill local structural information, exemplified by the discovery of polarization and lattice distortion in Sm − dopped BiFeO 3 (BFO) thin films. It is demonstrated that a reward-driven approach can be used to optimize these key hyperparameters across the full workflow, where rewards are designed to reflect domain wall continuity and straightness, ensuring that the analysis aligns with the material's physical behavior. This approach allows the discovery of local descriptors that are best aligned with the specific physical behavior, providing insight into the fundamental physics of materials. The reward driven workflow is further extended to disentangle structural factors of variation via an optimized variational autoencoder (VAE). Finally, the importance of well-defined rewards is explored as a quantifiable measure of the success of the workflow.

The artesunate nanoplatform selectively targets ECM CAF, functioning as a GTPase inhibitor through disruption of intracellular serine homeostasis. This metabolic intervention effectively suppresses MAPK cascade activity, which consequently inhibits PTT-induced CAF to ECM CAF differentiation. By attenuating this phenotypic transition, the nanoplatform significantly reduces the formation of TRB structure, ultimately enhancing tumor sensitivity to PTT.

Cancer-associated fibroblasts (CAFs) play a pivotal role in inducing photothermal therapy (PTT) resistance of triple-negative breast cancer (TNBC), but with unclear mechanism. Herein, aminoethyl anisamide-modified nano-biomimetic low-density lipoprotein (A-aLDL) is used to target deliver the PTT agent and artesunate (ARS) to both CAFs and cancer cells. Though CAFs are sensitive to PTT and notably transition to heat-resistant phenotype, the formed protective barrier is destroyed by ARS. Subsequently, the outstanding anti-tumor effects are achieved through PTT in multiple models with such kind of combination therapy. Interestingly, the mechanism is discovered that serine metabolism plays a major role in CAF resistance through spatially omics. ARS disrupts serine homeostasis, thereby attenuating the cascade activity of GTPases in MAPK pathway. Meanwhile, MAP2K7 is the most potential target for sensitizing PTT. By integrating ARS with PTT agents, the serine-MAPK axis in CAFs is successfully modulated, thereby overcoming PTT resistance in TNBC therapy.

This review highlights recent progress in spin engineering of dual-atom site catalysts (DASCs), emphasizing how spin-related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting-edge developments in dual-atom catalysis, discusses the underlying spin-catalysis mechanisms and structure–performance relationships, and proposes high-throughput screening strategies to guide the rational design of spin-optimized DASCs for small-molecule conversion reactions.

Dual-atom site catalysts (DASCs) provide more advantages than single-atom systems in improving energy conversions, owing to their unique features. For example, the coupling effect may align the spin of two adjacent dual-atom active centers in parallel or antiparallel via electron exchange interactions, thereby altering reaction mechanisms and overall efficiency. While numerous reviews have explored spin-dependent electrocatalysis, there remains a lack of a comprehensive, spin-focused framework for understanding the catalytic behavior of DASCs. This review emphasizes the role of spin in dual-atom site centers for electrocatalysis research. First, spin fundamentals in electrocatalysts, including spin-selective orbital occupation, spin ordering, and spin coupling, are comprehensively summarized to provide a solid foundation for subsequent discussions. Then, spin engineering strategies of DASCs are reviewed, including manipulating the spin configuration of the central atoms, modulating coordination environments, and tuning metal–support interactions. Next, recent developments in spin engineering of DASCs are reviewed, with a focus on structure–performance relationships. Furthermore, high-throughput screening techniques integrated with machine learning are discussed for developing highly efficient DASCs based on spin engineering. The challenges and opportunities of DASCs and spin engineering are thoroughly discussed to promote the advancement of new energy applications.

This study demonstrates a scalable textile manufacturing process that fabricates active origami fabrics (AFO) via digital embroidery of magnetic yarns. The programmable AFO exhibits reversible 2D and 3D transformations under magnetic fields, enabling functionalities such as altering surface roughness and linear actuation. These reversible deformation fabrics show promising potential for diverse applications in smart textiles and wearable devices.

Active fabrics can perform deformations such as contraction, expansion, and bending when exposed to external stimuli. Origami, the ancient art of paper folding, transforms a 2D sheet into a complex 3D structure. However, integrating origami-inspired designs into active fabrics presents significant challenges, including the large-scale production of stimuli-responsive yarns that can be processed using standard textile techniques to achieve intricate origami patterns with high precision and versatility. In this work, the large-scale fabrication of magnetic yarns featuring high magnetic susceptibility, mechanical strength, and flexibility is reported, which is enabled by processing magnetic polymer composites with a series of textile engineering processes. Utilizing digital embroidery, these magnetic yarns are programmed into origami patterns with predefined yarn alignments on flexible fabrics to create various active fabric origami structures that are mechanical durable and functional consistent. These structures can reversibly transform among shapes in response to specific magnetic fields, enabling a range of functionalities such as altering surface roughness, delivering linear actuation, mimicking flower blooming, and providing switchable thermal insulation. The novel active fabric origami provides promising smart platforms across areas as diverse as smart textiles, soft robotics, wearable devices, and fashion.

This review gives a summary on the representative bioinspired single-atomic-site catalysts (SACs) and their applications in heterogeneous electrocatalysis and photocatalysis. The fundamentals of bioinspired design strategies are systematically discussed in the context of the first shell coordination, the second/long-range coordination, and the outer microenvironment. The applications of SACs in electrocatalysis and photocatalysis as inspired by natural enzymes are discussed.

The emergence of single-atomic-site catalysts (SACs) provides a specific model to bridge the gap between homogeneous and heterogeneous catalysis. An interesting aspect in SACs is how to apply the bioinspired strategies in homogeneous biocatalysis to the design of heterogeneous SACs. The effectiveness of this approach relies on systematic insights in structural characteristics and catalytic mechanisms of both the biocatalysts and the heterogeneous SACs. This review will give a summary on the representative bioinspired single-atomic-site catalysts and their applications in heterogeneous electrocatalysis and photocatalysis. The fundamentals of bioinspired design strategies will be systematically discussed in the first shell coordination (quasi-homogeneous metal centers and coordination numbers/species) and the second/long-range coordination (heteroatoms doping, dual-metallic sites, nano-single-atom-site, and metal-support interaction). Also, the unique non-covalent interactions and oriented mass/proton/electron transfer channels in heterogenous SACs are highlighted as inspired by the outer microenvironment of biological systems. The practical electrocatalytic and photocatalytic applications of bioinspired SACs are further discussed by drawing inspiration from hydrogenase, nitrogenase, oxidase, and dehydrogenase to produce hydrogen-, carbon-, nitrogen-, and oxygen-based value-added chemicals. The current challenges and future opportunities for the development of bioinspired heterogenous SACs will also be discussed.

By rationally designing π−conjugated anthraquinone−based redox−active ligands (DHAQ/DAAQ), a series of layered, flower–like MnMOC structures are synthesized. Comprehensive characterization techniques are employed to systematically investigate the reaction mechanisms of these MnMOCs in AZIBs. Importantly, a machine learning−based model is developed to predict specific capacity. Notably, the MnMOCs demonstrates excellent performance in practical applications, offering strong support for the advancement of MOC materials in the field of energy storage.

Aqueous zinc–ion batteries (AZIBs) have garnered significant attention owing to their high safety and low cost; however, their development is hindered by the poor cycling stability and low capacity of traditional inorganic cathode materials. This study innovatively utilizes dihydroxy/diamino anthraquinone (DHAQ/DAAQ) ligands featuring π–conjugated systems and quinone–based redox activity. By precisely regulating the substitution sites (1,2–/1,4–/1,5–) and coordinating them with Mn2+, layered flower−cluster Manganese–based metal–organic coordination is successfully constructed. The experimental results indicated that in the Mn−1,4−DHAQ cathode, the symmetric structure of the 1,4–dihydroxy substitution promoted electron delocalization and formed stable coordination bonds with Mn2+, thereby providing excellent electrochemical performance. Furthermore, both in situ and ex situ characterizations elucidated the Zn2+ storage mechanism during charge–discharge processes. Notably, this work incorporated machine learning techniques to develop a specific capacity prediction model, laying a methodological foundation for future research in the field of energy storage. Theoretical calculations are employed to gain deeper insight into the underlying reasons for the outstanding performance of Mn−1,4−DHAQ. In addition, Mn−1,4−DHAQ is successfully applied as a cathode material in soft−pack batteries, gel electrolyte devices, and screen−printed devices, demonstrating excellent mechanical adaptability and practical application potential. Novel strategy for high−performance MOC–based AZIBs boosts practical energy storage applications.

Utilizing net charges of NPs in nonpolar solvent, dielectrophoretic attraction and Coulombic modulation are combined to achieve distinct particle densities at oppositely charged surfaces. This selective assembly enables efficient submicron-scale separation of NP mixtures and forms complex binary NP patterns in one step, offering a powerful and direct route for assembling and integrating multiple NPs into advanced multifunctional nanodevices.

Precise nanofabrication of diverse nanoparticles (NPs) with high spatial resolution is crucial for developing advanced nanodevices. While various bottom-up approaches have been developed, limitations such as complex overlay steps, contamination risks, and low spatial resolution still exist. Here, an approach is presented for sub-micron spatial resolution nanopatterning of binary NPs. By utilizing net charges of NPs dispersed in nonpolar solvent, dielectrophoretic attraction and sign-dependent Coulombic modulation are combined to achieve distinct particle densities at oppositely charged surfaces. This selective assembly enables efficient separation of NP mixtures at submicron scales, facilitating the formation of complex binary NP patterns in a single step. The technique offers a powerful and direct route for assembling and integrating multiple NPs, providing a new way for advanced multifunctional nanodevices.

A high-entropy photoelectrocatalyst is rapidly synthesized by pulsed laser heating MXene nanosheets loading metal ions. The MXene derived-TiO2 and high-entropy alloy heterojunction can effectively enhance the oxygen evolution reaction kinetics with solar energy assistance, reducing the charging potential of zinc–air batteries and improving the charge–discharge efficiency.

Photo-assisted zinc–air batteries have garnered significant attention for applying solar energy to decrease the charge voltage and improve energy efficiency. However, the uniform and rapid synthesis of highly active, stable, and low-cost photoelectrocatalysts for zinc–air batteries remains a significant challenge. Herein, a pulsed laser method is reported for the rapid preparation of MXene-derived TiO2/high-entropy alloy heterojunctions (M-TiO2/HEAs) as photoelectrocatalysts. Benefiting from the exceptional photo-thermal conversion capability of MXene, the local temperature reaches up to 2800 K under laser irradiation, along with ultra-fast heating and cooling rates (≈106 K s−1), enabling the successful synthesis of M-TiO2/HEAs. Zinc–air batteries incorporating M-TiO2/HEAs exhibit a low charge voltage of 1.87 V at 10 mA cm−2 under light irradiation. In addition, it exhibits exceptional cycle stability, maintaining stable cycling for 1000 h at a current density of 10 mA cm−2. Experiments and theoretical calculations reveal that M-TiO2/HEAs heterojunctions exhibit strong electronic interactions. These interactions effectively promote the separation of photogenerated charge carriers and the conversion of electrochemical intermediates, thereby enhancing oxygen evolution reaction activity under light irradiation. This work offers valuable insights into the rapid fabrication of photoelectrocatalysts, providing new perspectives for developing light-enhanced energy storage systems.

An ultrasound (US)–activated nano-oncolytic system, cRGD-Lip@PFP is introduced, which induces necroptosis-like oncolytic cell death. This method triggers the explosive release of DAMPs and activates the cGAS-STING pathway, resulting in a more potent antitumor immune response than conventional apoptosis-based therapies. This innovative strategy markedly enhances tumor immunogenicity and remodels immunosuppression to effectively improve the efficacy of immunotherapy.

Conventional tumor therapies typically depend on the apoptotic pathway, which often leads to inadequate immunogenicity. This limitation underscores the urgent need for innovative treatments that enhance immunogenicity. In this study, an ultrasound (US)-activated nano-oncolytic system (designated as cRGD-Lip@PFP), is presented and consists of nanoliposomes (Lip) modified with the cRGD peptide for targeted tumor delivery. This system features a perfluoropentane (PFP) core that undergoes US-triggered acoustomechanical effects, enabling controlled expansion from nanoscale to microscale, ultimately leading to rupture and the generation of cavitation effects. Intracellular cavitation further induces necroptosis-like oncolytic cell death. The efficacy of various treatments in stimulating immune responses is systematically compared and it is demonstrated that the nano-oncolytic system effectively enhances the release of damage-associated molecular patterns (DAMPs). Additionally, the release of DNA fragments activates the cGAS-STING pathway, resulting in an amplified immune response. Furthermore, this nano-oncolytic system alleviates the hypoxic tumor microenvironment and counteracts immunosuppression. Compared to traditional apoptosis, the necroptosis-like oncolytic cell death induced by this strategy exhibits enhanced immunogenicity. This approach presents an innovative paradigm for tumor immunotherapy based on acoustomechanical effects, offering a promising alternative to tackle the issue of insufficient immunogenicity often associated with conventional apoptosis therapies.