Results 291 to 300 of about 1,275,522 (345)

Low‐Cost, Large‐Scale Nanoporous Metals by Mechanical Alloying, Oxide Reduction, and Dealloying of Powders

Advanced Engineering Materials, EarlyView.
Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley   +1 more source

Tracing 25 years of employee agility research: the missing links and future directions. [PDF]

Front Sociol
Ramzuni G, Rahim RK, Hamsal M, Furinto A, Gunadi W.   +4 more
europepmc   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

Advanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham, Chenyu Wen, Mohammad Hadi Khaksaran, Won‐Yong Lee, Javier Cruz, Klas Hjort, Dongping Wu, Shi‐Li Zhang   +7 more
wiley   +1 more source

Influence of urban innovation capacity on urban energy transition in China-the moderating role of climate risk. [PDF]

Sci Rep
Wei J, Tan J.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A Cross-Modal Temporal Alignment Framework for Artificial Intelligence-Driven Sensing in Multilingual Risk Monitoring. [PDF]

Sensors (Basel)
Sun H, Zhang J, Hong W, Fang Y, Ma M, Shi K, Li M.   +6 more
europepmc   +1 more source

A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting. [PDF]

PLoS One
Qiu Q, Huang Y, Huang X, Zhou W.
europepmc   +1 more source

Sliding Graft Copolymer-Based Rubber Enables Enhanced Damping Performance and Mechanical Strength. [PDF]

Polymers (Basel)
Li K, Zhang Z, Cheng W, Lin G, Liu C.
europepmc   +1 more source

Object tracking algorithm based on deformable attention mechanism. [PDF]

Sci Rep
Liu Q, Yu N, Cheng J.
europepmc   +1 more source

Cooperative Coverage Control for Heterogeneous AUVs Based on Control Barrier Functions and Consensus Theory. [PDF]

Sensors (Basel)
Mao F, Zhang D, Xu L, Wang R.
europepmc   +1 more source