Results 111 to 120 of about 6,216 (258)
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
This work proposes and constructs the Hefei‐NAMD‐S framework based on machine learning stacked models to investigate the relationship between local polarization and non‐radiative recombination. The results indicate that, compared with A‐site local polarization, B‐site local polarization shows a more evident association with the non‐radiative ...
Bing Yang +13 more
wiley +1 more source
An intracellular magneto‐mechanical platform utilizing MSC‐targeted nanomotors is developed. After intra‐articular delivery, these nanomotors target endogenous BMSCs and are actuated within lysosomes to execute trans‐planar rotational‐bouncing motions under a rotating‐fluctuating 3D magnetic field, generating amplified mechanical stimulation.
Zhenguang Li +7 more
wiley +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
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 versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
A minimally invasive optical window enables stable, long‐term imaging of peripheral nerves in vivo at single‐axon resolution. Dynamic processes of degeneration, regeneration, and cellular remodeling are visualized across multiple time scales within the same nerve region, providing a unique platform to study a variety of anatomical and molecular events ...
Igor D. Luzhansky +15 more
wiley +1 more source
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song +5 more
wiley +1 more source
Unconventional spin currents are generated in an antiferromagnetic NiO(110)/Ta/CoFeB trilayer, where the Néel vector governs spin transport. The resulting spin–orbit torques enable deterministic field‐free switching of perpendicular magnetization.
Hyeong‐Joo Seo +12 more
wiley +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source

