Results 141 to 150 of about 101,968 (267)

Nanozyme Microrobots: Programmable Spatiotemporal Catalysis for Targeted Therapy and Diagnostics

Advanced Science, EarlyView.
This review presents nanozyme microrobots as emerging catalytic systems that integrate mobility, external actuation, and adaptive reactivity to achieve precise biochemical functions. By examining mobility‐regulated catalysis, spatial targeting, integrated designs, and translational demonstrations, the article highlights how nanozyme robotics enables ...
Hong Huy Tran, Nil Kanatha Pandey, David P. Cormode, Daeyeon Lee, Edward Steager, Hyun Koo   +5 more
wiley   +1 more source

A Janus‐Like Bio‐Inspired Strategy for 3D‐Printed Bimetallic Metamaterials with Excellent Thermal‐Protection and Load Bearing Capacity

Advanced Science, EarlyView.
A Janus‐like bio‐inspired strategy is proposed for integrally 3D‐printed bimetallic metamaterials. Inspired by shell bilayers, a heat‐resistant AlSiFeMnNiMg alloy and a SiC‐reinforced AlSi10Mg with different SiC volume fractions are arranged as an architected pair.
Zhicheng Dong, Wei Cheng, Yu He, Ben Jia, Xiaopeng Wan, Heyuan Huang   +5 more
wiley   +1 more source

On the Ordering Mechanism of Cu+ in 2D van der Waals Multiferroic CuCrP2S6

Advanced Science, EarlyView.
Temperature‐dependent X‐ray single‐crystal diffuse scattering measurements of CuCrP2S6 in the (H, K, 0) plane reveal the gradual emergence and strengthening of short‐range order upon cooling from 230 to 170 K. At intermediate temperatures, diffuse features become pronounced and eventually lock into sharp incommensurate satellite reflections, indicating
Jiasen Guo, Yongqiang Cheng, Michael A. Susner, Ryan P. Siebenaller, Zachary Morgan, Feng Ye   +5 more
wiley   +1 more source

Non‐Uniform Space‐Time‐Coding Modulation for Low‐Complexity Diagnostics of Reconfigurable Intelligent Surfaces

Advanced Electronic Materials, EarlyView.
A diagnostic method for reconfigurable intelligent surfaces (RIS) based on non‐uniform space‐time‐coding modulation is presented. Fault localization is achieved via amplitude‐only spectral measurements, eliminating the need for complex signal processing. A one‐to‐one mapping between harmonic components and RIS elements enables accurate detection.
Xiao Qing Chen, Lei Zhang, Yi Ning Zheng, Bing Bing Zhu, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Vincenzo Galdi, Tie Jun Cui   +8 more
wiley   +1 more source

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

Advanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Beyond Imperfect Match: Silicon/Graphite Hybrid Anodes for High‐Energy–Density Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon/graphite (Si/Gr) hybrid anodes are limited by Si's large volume change and mismatch with Gr. This review offers mechanistic insights into imperfectly matched Si/Gr hybrid anodes, elucidating heterogeneous lithiation behavior and interfacial failure pathways, and thereby informing the design of durable, high‐energy–density lithium‐ion batteries.
Jing Li, Karol Viviana Mejía‐Centeno, Malik Dilshad Khan, Guifang Zeng, Lijie Ci, Andreu Cabot, Qing Sun   +6 more
wiley   +1 more source

Fractional-order stochastic delayed neural networks with impulses: mean square finite-time contractive synchronization. [PDF]

Sci Rep
Palanisamy G, Kandasamy U, Rihan FA, Ben Said S.   +3 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Finite-Time Dissipative Fault Estimate and Event-Triggered Fault-Tolerant Synchronization Control for Discrete Semi-Markov Jumping Neural Networks. [PDF]

Entropy (Basel)
Zhu X, Wang Y, Chen Y.
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source