Results 101 to 110 of about 41,240 (217)
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
The Path to Group A Streptococcus Vaccines: World Health Organization Research and Development Technology Roadmap and Preferred Product Characteristics. [PDF]
Vekemans J +9 more
europepmc +1 more source
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
wiley +1 more source
HfO2‐based ferroelectrics exhibit wake‐up and fatigue behaviors during electrical cycling, significantly affecting device endurance and reliability. These phenomena are governed by defect dynamics, including oxygen vacancy redistribution and charge trapping.
Hongseok Kim +6 more
wiley +1 more source
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi +12 more
wiley +1 more source
Maximizing the Energy Output of Soft Electrohydraulic Generators
Many energy resources cannot be viably harvested with electromagnetic generators. This article evaluates the potential of soft electrohydraulic generators as an alternative approach for energy capture. An analytical model charts their operational limits and a rigorous experimental study results in new performance benchmarks with maximum specific energy
Sophie Kirkman +7 more
wiley +1 more source
Porous Ultralow‐κ sp2‐Bonded Boron Nitride Thin Films as Copper Diffusion Barriers
Porous sp2‐bonded boron nitride (p‐BN) thin films with an ultralow dielectric constant (κ = 1.77) are directly grown on Si substrates via RF magnetron sputtering. The films feature uniform nanopores (1.85 nm), high mechanical stability, hydrophobicity, and excellent Cu diffusion barrier performance even at 3 nm thickness, offering a promising solution ...
Caiyun Liu +11 more
wiley +1 more source
A multifunctional regenerative composite is constructed by 3D‐printing thermosensitive PNIPAM hydrogel embedded with MPDA@IL‐10 nanoparticles and autologous BMSCs onto antigen‐depleted porcine bone matrix for beagle critical‐sized skull defect reconstruction.
Weihao Lv +16 more
wiley +1 more source
Article title - Potential evaluation of rolling stock manufacturing in Thailand
In the capital city of Thailand, the first electric railway system so called Bangkok Mass Transit System (BTS) has been established since 1999. And Thai Government has the master plan to develop the network for such mass transport system in order to ...
Saiprasit Koetniyom, Kanit Chaloeyjanya
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