Results 211 to 220 of about 153,624 (281)
Elastomers Combining Damping Efficiency With Rapid Recovery
Double network granular elastomers (DNGEs) combine high energy dissipation under both cyclic loading and high impact with rapid shape recovery. 3D printing enables the production of complex, customizable structures with tailored performance. Recyclable DNGEs retain their properties over multiple recycling cycles.
Eva Baur, Alain Molleyres, Esther Amstad
wiley +1 more source
An Augmented Likelihood Approach Incorporating Error-Prone Auxiliary Data Into a Survival Analysis. [PDF]
Hyun N, Boe L, Shaw PA.
europepmc +1 more source
Ductility Tuning via Cluster Network Characteristics of Porous Components
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
Network topology and interaction logic determine states it supports. [PDF]
Gedeon T.
europepmc +1 more source
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai +8 more
wiley +1 more source
Analytically tractable model of synaptic crowding explains emergent small-world structure and network dynamics. [PDF]
Fukushima M.
europepmc +1 more source
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue +6 more
wiley +1 more source
Optimizing the application order under precedent-based decision-making. [PDF]
Argenziano R, Gilboa I.
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
A Hölder-type inequality for the Hausdorff distance between Lagrangians. [PDF]
Chassé JP, Leclercq R.
europepmc +1 more source

