Results 191 to 200 of about 21,843 (255)

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
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, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Integrated Dynamic Modeling and Ground Test Validation for Spacecraft Micro-Vibration Suppression Considering Disturbance, Isolation, and Pointing Control. [PDF]

Sensors (Basel)
Wang H, Yan H, Tian L, Zang X, Zu Y.
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Explicit dynamics analysis of forearm tendon stresses during the forehand smash. [PDF]

Front Bioeng Biotechnol
Xiao X, Li J, Lian A, Li W, Ou X, Lu Z, Fan Y.   +6 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
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, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Harnessing fano-like line shape resonance in a rectangular waveguide for filtering applications. [PDF]

Sci Rep
Mimoun EA, Hennache A, Youssef BA, Abdelouahed E, Driss B, Zaky MA, Zaky ZA.   +6 more
europepmc   +1 more source

Giant Topological Hall Effect Across a Broad Temperature Window in Co‐Doped Mn3Sn Noncoplanar Antiferromagnets

Advanced Science, EarlyView.
Co doping in Mn3Sn transforms the spin texture magnetic state from a coplanar noncollinear magnetic state into a noncoplanar one, resulting in a large topological Hall effect (THE) over a wide temperature range (2–300 K). The THE arises from a noncoplanar spin texture, driven by lattice distortion and enhanced out‐of‐plane Dzyaloshinskii ...
Mingqian Zhang, Xinyu Yao, Fangyi Qi, Yalei Huang, Jincang Zhang, Kun Zhao, Guixin Cao   +6 more
wiley   +1 more source

An Inverse Analysis of Interfacial Parameter Values for Mode I Debonding Between Steel and Hot-Melt Adhesive. [PDF]

Materials (Basel)
Shi J, Zhang J, Hu M, Li Y, Deng G, Liu W.   +5 more
europepmc   +1 more source

A Robust Finite Element Method for Linearized Magnetohydrodynamics on General Domains. [PDF]

J Sci Comput
da Veiga LB, Lovadina C, Trezzi M.
europepmc   +1 more source