Results 21 to 30 of about 3,108 (182)
Controlling Radiative Phonons in the van der Waals Ferroelectric NbOI2
Using a simple mirror geometry, this work demonstrates local‐density‐of‐optical‐states control of THz phonon emission in van der Waals ferroelectric NbOI2. By engineering the photonic environment, the phonon Q‐factor, linewidth, peak frequency, and emission intensity are reversibly tuned by over an order of magnitude, revealing radiative phonons as ...
Baolong Zhang +5 more
wiley +1 more source
Interfacial Failure and Self‐Healing in Solid‐State Batteries
Dynamic interfacial self‐healing offers an adaptive route to mitigate coupled mechanical, chemical, and electrochemical degradation in solid‐state batteries. This review connects evolving interfacial failure mechanisms with physical‐flow, chemical‐restoration, stimuli‐responsive, and electric‐field‐assisted repair strategies, highlighting targeted self‐
Xinxin Zhu +8 more
wiley +1 more source
Progress on the Failure Mechanisms and Optimization Strategies on Lithium Iron Phosphate
This review centers on LiFeO4 cathodes, outlining their core advantages and performance limitations, then systematically elucidating failure mechanisms, proposing key optimization strategies, and summarizing future research directions that integrate advanced characterization with intelligent design.
Zheng‐Xin Qian +8 more
wiley +1 more source
Grafted Low‐Leakage Si/AlN p‐n Diodes Enabled by Fluorinated AlN Interface
This work demonstrates a fluorination‐based interface engineering strategy that transforms oxygen‐terminated AlN surfaces into fluorine‐terminated interfaces for grafted p‐Si/n‐AlN diodes. By combining pseudo‐ALE oxide removal, XeF2 fluorination, and ultrathin SiNx stabilization, the engineered interface suppresses defect‐assisted reverse leakage by ...
Yi Lu +21 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang +13 more
wiley +1 more source
An immunomodulatory hydrogel (iGEL) forms spontaneously upon subcutaneous injection, acting as a tissue‐adhesive depot. It releases anti‐rejection and regenerative agents in response to inflammation, suppressing T‐cell activity, promoting vascular repair, and restoring allograft function without systemic immunosuppression.
Ning Wang +14 more
wiley +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Iron‐Mediated Release of Aged Dissolved Organic Carbon From Waterlogged Peatland Under Warming
This study conducts a five‐year in situ warming experiment in high‐altitude peatlands to examine dissolved organic carbon (DOC) release. The study shows that warming promotes the release of plant‐derived modern DOC in drained peatlands, but amplifies aquatic export of century‐old DOC from waterlogged peatlands via Fe‐mediated DOC mobilization—a ...
Guohua Dai +18 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source

