Results 141 to 150 of about 660,214 (294)

Wireless Ultrasonic Sensing for Fatigue Crack Propagation and Life Prediction in Thin Plate Structures. [PDF]

Sensors (Basel)
Chen S, Du J, Liu M, Peng Q, Mi J.
europepmc   +1 more source

Remote Magnetomechanical Neuromodulation Uncovers Therapeutic Mechanisms for Alleviating Parkinsonian Symptoms in Freely Moving Mice

Advanced Science, EarlyView.
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters, Lorenzo Signorelli, Christian Herff, Sophia Gimple, Renzo Riemens, Gunter Kenis, Kim Rijkers, Hamed Shabani, Jyh‐Jang Sun, Yasin Temel, Hans Clusmann, Danijela Gregurec, Sarah‐Anna Hescham   +12 more
wiley   +1 more source

Annotated digital image correlation displacement fields from fatigue crack growth experiments on aluminium alloys. [PDF]

Sci Data
Melching D, Dömling F, Paysan F, Schultheis E, Dietrich E, Breitbarth E.   +5 more
europepmc   +1 more source

Mechanics of Fatigue Crack Growth (Comparison between Fatigue and Ideal Cracks ）

Mechanics of Fatigue Crack Growth (Comparison between Fatigue and Ideal Cracks ）
identifier:oai:t2r2.star.titech.ac.jp ...
openaire   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Research on Simulation of Fatigue Crack Growth in LNG Storage Tanks and Prediction of Residual Service Life. [PDF]

Materials (Basel)
Zhang Q, Yi X, Li Z, Zhou W, Liu J.
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

Fatigue crack growth of glass fiber laminates polymer composites using vacuum bagging technique. [PDF]

PLoS One
Chaloob MK, Laftah RM, Young D, Alwattar TA.   +3 more
europepmc   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
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, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

New Insights on Fatigue Crack Growth of Reinforced Natural Rubber. [PDF]

Polymers (Basel)
Kyei-Manu WA, Tunnicliffe LB, Herd CR, Akutagawa K, Busfield JJC.   +4 more
europepmc   +1 more source