Results 161 to 170 of about 6,930,645 (293)
Polymer Concepts in Cellular Function
Advanced Science, EarlyView.
Miao Yu +7 more
wiley +1 more source
Nonmonotonic Enhancement of Electro‐Optic Properties of Wurtzite AlN Thin Films by Sc Doping
EO coefficient, rc, for Sc‐AlN thin films in comparison with that for Mg ZnO thin films (left). Calculated electric field intensity of the fundamental mode supported by the active area that includes Sc‐AlN (right). ABSTRACT Wurtzite ferroelectrics, such as Sc‐doped AlN, have recently attracted considerable attention for their potential in realizing ...
K. Abe +11 more
wiley +1 more source
Mathematical models of phenomenological piezoelectricity [PDF]
openaire +2 more sources
Engineering a Correlated Narrow‐Gap Semiconductor: Effects of Ga Substitution in EuZn2P2
ABSTRACT The effect of Ga substitution on the electronic, magnetic, and low‐energy responses of the Zintl phase EuZn2P2${\rm EuZn}_2 {\rm P}_2$ is investigated by electrical transport, electron spin resonance (ESR), and terahertz time‐domain spectroscopy (THz‐TDS). Incorporating Ga into EuZn2P2${\rm EuZn}_2 {\rm P}_2$ (EuZn1.8Ga0.2P2${\rm EuZn}_{1.8} {\
Mateus Dutra +13 more
wiley +1 more source
Coarsening‐Resistant Ag Sinter Composites: Mechanistic Insights From Different Ag–Additive Systems
An Ag–WC sintered composite exhibiting superior resistance to thermal coarsening. Different particle‐reinforced Ag sinter composites showed markedly different microstructural responses to thermal aging. The comparison revealed that robust Ag–additive interfaces maintain grain‐boundary pinning, whereas insufficient interfacial stability results in the ...
Yang Liu +4 more
wiley +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
Liquid metal nanoparticles create mechanically compliant polymer interfaces that facilitate reversible dipolar reorientation under electric fields, whereas rigid interfaces impose stronger local constraints. This soft–rigid interface comparison reveals local interfacial modulus as a key parameter for tuning electrocaloric entropy change in ...
Tian Yao +15 more
wiley +1 more source
Self‐compensation effects attributed to doping‐dependent shift‐defects at APBs Validation of Hall data for VRH transport near the MIT Persistence of VRH transport for any SiH4 flow in Si‐doped κ‐Ga2O3 due to high compensation coupling transport and EPR data as strategy to study electronic properties and doping T‐dependence of transport data agrees with
Antonella Parisini +9 more
wiley +1 more source
Gate‐Reconfigurable Single‐ and Double‐Dot Transport in Trilayer MoSe2
Quantum dots are nanoscale islands that trap single electrons. In an atomically thin trilayer MoSe2 device, metallic finger gates sculpt the electronic landscape: tuning a single gate voltage smoothly merges two coupled quantum dots into one, and back.
Seungwoo Lee +10 more
wiley +1 more source

