Results 211 to 220 of about 4,855,956 (246)
A General and Efficient Framework for the Rapid Design of Miniaturized, Wideband, and High‐Bit RIS
A general and efficient framework is proposed for the rapid design of high‐performance reconfigurable intelligent surfaces (RISs). This framework integrates advanced antenna design techniques and incorporates various load types, quantities, and values to achieve the design of high‐performance RISs.
Jun Wei Zhang +14 more
wiley +1 more source
High-order photonic degeneracy enables topological reconfiguration in bound states in the continuum. [PDF]
Fu Z +14 more
europepmc +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
Imaging topological polar structures in marginally twisted 2D semiconductors. [PDF]
Vu TH +18 more
europepmc +1 more source
The amorphous tungsten (W) is found to be a promising non‐magnetic interlayer simultaneously driving the long‐range interlayer exchange coupling and the large spin Hall effect in a synthetic antiferromagnet (SyAF). Thanks to these characteristics, efficient spin‐orbit torque switching is achieved in the SyAF.
Xueyao Hou +9 more
wiley +1 more source
Artificial gauge fields for sculpting topological modes on photonic chips. [PDF]
Lin Z +9 more
europepmc +1 more source
Controllable Superconductivity in Suspended NbSe2
Suspended NbSe2${\rm NbSe}_2$ provides two complementary routes for controlling superconducting transport. Gate‐driven deformation strains the suspended crystal and tunes its critical temperature and current. Weak thermal anchoring enhances thermal feedback, contributing to multistep hysteresis and negative differential resistance.
Ruihuan Fang +14 more
wiley +1 more source
Artificial intelligence-driven magnetic property prediction and materials discovery for next-generation spintronics. [PDF]
Elilarassi R +5 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source

