Giant Bulk Photovoltaic Effect in Two‐Dimensional Topological Ferroelectric Semimetal
ABSTRACT Ferroelectric (FE) metals have attracted growing interest because they combine ferroelectricity with metallic behavior and enable polarization‐controlled band topology near the Fermi level. However, the number of known ferroelectric metals is still limited.
Jianhua Wang +8 more
wiley +1 more source
Anisotropic Hydrogel Fibers for Soft Robotics: From Structural Engineering to Multi-Responsive Actuation. [PDF]
Zhang J +6 more
europepmc +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
Effects of laser processing parameters and scanning angle on damage morphology and residual tensile properties of CFRP laminates with a continuum damage mechanics model. [PDF]
Liang W, Ren M, Chen Y, Zuo L, Pan P.
europepmc +1 more source
Sliding Ferroelectricity Driven Spin‐Layertronics in Altermagnetic Multilayers
Integrating sliding ferroelectricity with altermagnetism enables nonvolatile electrical control of spin and layer degrees of freedom. In bilayer CuF2, interlayer translation reverses layer‐locked spin‐split bands, establishing a multifunctional “spin‐layertronic” platform.
Rui Peng +5 more
wiley +1 more source
Cooperative Goniopolar and Anomalous Nernst Transverse Thermoelectricity in Kagome Magnets. [PDF]
Wang H +12 more
europepmc +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
A Review on Multi-Level Asymmetric Design for 2D Neuromorphic Devices. [PDF]
Sun Y +5 more
europepmc +1 more source
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

