Results 31 to 40 of about 3,177,161 (211)

High‐Entropy Alloy Interlayers Toward Advanced Joining for High‐Performance Structural Applications: Current Progress and Emerging Challenges

Advanced Engineering Materials, EarlyView.
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan, Jiafen Song, Jinglong Li, Jiangtao Xiong, Tao Yang   +4 more
wiley   +1 more source

Present-Day Fault Locking and Deformation Patterns of the Central-Southern Segment of the Tanlu Fault Zone

Geosciences
Based on a horizontal velocity field of 1123 stations derived from the fusion of multi-source GNSS data spanning 1999–2024 (including CMONOC, densified observations, and SDCORS stations), we utilized the TDEFNODE block-dislocation model to invert for the
Xiaofei Lu, Kai Tan, Caihong Zhang, Qi Li, Xue Li, Chengtao Li   +5 more
doaj   +1 more source

Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators

Advanced Engineering Materials, EarlyView.
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel, Prashant K. Purohit, Jordan R. Raney   +2 more
wiley   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Stable 100 GHz Pulses Generated by injection locking of multiple lasers to an optical frequency comb

, 2013
Optical frequency combs (OFCs) can generate a wide bandwidth of regularly spaced modes with high frequency stability. Besides frequency and time metrology, OFCs can also have applications in arbitrary waveform generation and telecommunications by ...
Wu, D.S., Slavík, R., Richardson, D.J., David J. Richardson, Radan Slavik, David S. Wu   +5 more
core   +1 more source

Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures

Advanced Functional Materials, EarlyView.
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash, Rituparna Mohanty, Jack Leber, David Nageb, Mirella Richard, Sharan Singh, Amin Reihani   +6 more
wiley   +1 more source

Fault-tolerating edge computing with server redundancy based on a variant of group degree centrality

, 2020
Fault-tolerating edge computing with server redundancy based on a variant of group degree ...
Q He (7930655), X Zhang (6084905), W Liu (7349393), W Du (5833868), Y Yang (6099497), Y Ji (9434675), C Cai (7765349), Feifei Chen (13069737), G Cui (13421547)   +8 more
core  

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Analysis of energy dissipation in resistive superconducting fault-current limiters for optimal power system performance [PDF]

, 2011
Fault levels in electrical distribution systems are rising due to the increasing presence of distributed generation, and this rising trend is expected to continue in the future.
Burt, Graeme, Bright, C.G., Blair, Steven Macpherson, Booth, Campbell, Singh, Nand   +4 more
core   +3 more sources