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cond-mat.mtrl-sci2025
Machine learning-enabled atomistic insights into phase boundary engineering of solid-solution ferroelectrics
Weiru Wen, Fan-Da Zeng, Ben Xu +4
Atomistic control of phase boundaries is crucial for optimizing the functional properties of solid-solution ferroelectrics, yet their microstructural mechanisms remain elusive. Her…
cond-mat.mtrl-sci2014
Giant magnetodielectric metamaterial
Ke Bi, Ji Zhou, Xiaoming Liu
Dielectric materials with tunable permittivity are highly desirable for wireless communication, radar technology. However, the tunability of dielectric properties in the microwave…