Results 91 to 100 of about 11,378 (215)
Engineered macrophages programmed in situ by LNP‐delivered IL‐6/4 fusion and LL37 mRNAs simultaneously dampen cytokine storm, promote M2‐like repair, and enhance direct bacterial killing in sepsis. This combinatorial strategy restores T cell and macrophage function, lowers organ bacterial burden, and improves survival, highlighting a precision, host ...
Tianyang Jie +10 more
wiley +1 more source
A nanomodulator called L‐Arginine/lificiguat@Copper‐hollow Prussian blue@Calcium phosphate nanoparticles is constructed to launch a self‐amplifying “avalanche effect” in tumor cells. The ensuing cascade, triggered by the acidic tumor microenvironment and near‐infrared light, induces calcium overload, generates a reactive oxygen species and reactive ...
Hongmei Zhou +9 more
wiley +1 more source
This study developed a convenient, enzyme‐free detection platform based on controllable aggregation ion nanomachines. Its favorable anti‐interference capacity and high sensitivity meet the detection requirements for clinical samples processed via a simple filtration method within 10 min.
Zhihao Zhang +8 more
wiley +1 more source
Dynamic microcavities provide reversible control over exciton‐photon coupling in two‐dimensional TMDs through piezoelectric, electrical, thermal, and all‐optical tuning. By reshaping detuning, Rabi splitting, and polariton composition, these strategies enable adaptable polaritonic functions, including optical switching, polariton lasing, and ...
Jingwen Zhang +7 more
wiley +1 more source
Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song +10 more
wiley +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang +6 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Analizando los sitios web de universidades de diferentes países es posible construir mapas que reflejen gráficamente las relaciones que se establecen entre ellas, utilizando para ello nuevas técnicas de representación de la información como el análisis ...
Victor Herrero-Solana +1 more
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