Results 231 to 240 of about 434,852 (287)

A Laminating Strategy to Manyfold Enhance the Elastic Stretchability of Stretchable Electronics

open access: yesAdvanced Science, EarlyView.
We propose a laminating strategy that laminates a thick‐polymer layer onto the thin‐ribbon metallic structure. Using serpentine structures on soft and hard substrates as representative cases, this approach increases elastic stretchability by 3.5‐fold and 2.3‐fold.
Zanxin Zhou   +6 more
wiley   +1 more source

Inherently Disordered Auxetic Metamaterials

open access: yesAdvanced Science, EarlyView.
Inherently disordered auxetic metamaterials based on random chiral Delaunay triangulations are designed and investigated using numerical simulations and experimental tests. These disordered frameworks exhibit orthotropic behavior and a large negative Poisson's ratio (ca.
Matteo Montanari   +3 more
wiley   +1 more source

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

open access: yesAdvanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng   +8 more
wiley   +1 more source

Cluster‐Mediated Solute Stabilization and Shear‐Bypass Synergistic Strengthening in High‐Alloyed Systems

open access: yesAdvanced Science, EarlyView.
This study demonstrates that in high‐alloy systems, nanoclusters with high solute tolerance can effectively suppress compositional segregation. This mitigation leads to a concurrent 18.7% increase in strength and 41.5% improvement in ductility, which is attributed to a shear‐bypass synergistic strengthening mechanism. The findings provide a new pathway
Wei Yu   +10 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

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