Results 101 to 110 of about 35,897 (307)
Cuttlebone‐inspired architected metamaterials introduce controlled structural disorder to simultaneously enhance strength, energy absorption, and compressive stability. Tunable disorder suppresses shear anisotropy, outperforms periodic lattices, and establishes discrete randomness as a robust route to high‐performance lightweight mechanical ...
Zengqin Shi +7 more
wiley +1 more source
Microstructural modelling of creep crack growth from a blunted crack [PDF]
The effect of crack tip blunting on the initial stages of creep crack growth is investigated by means of a planar microstructural model in which grains are represented discretely. The actual linking-up process of discrete microcracks with the macroscopic
Giessen, E. van der,, Onck, P.R.,
core
A tri‐phase Ni2CoFeV medium‐entropy alloy with fcc, κ, and L12 phases achieves exceptional cryogenic strength‐ductility synergy at 77 K. It delivers a yield strength of 1.4 GPa, an ultimate tensile strength of 2.07 GPa and a tensile ductility of 28%.
Lei Gu +4 more
wiley +1 more source
Effect of Grain-Size and Textural Weakening in Polyphase Crustal and Mantle Lithospheric Shear Zones
Strain localization to form narrow plate boundary shear zones in Earth’s lithosphere requires a significant amount of strain weakening. Here we investigate the relative contributions of grain-size-sensitive weakening versus textural weakening in ...
Jonas Ruh, Whitney Behr, Leif Tokle
doaj +1 more source
Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi +3 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Antistatic performance in HDPE/conductive carbon black composites is governed not only by filler structure but also by processing. Injection molding induces surface resistivity through skin–core effects, whereas compression molding favors conductive networks.
Jorge Henrique Faber Boog +2 more
wiley +1 more source
Abstract Hadrosaurid dinosaurs are generally regarded as “crested” or “non‐crested” depending on the presence or absence of a bony cranial crest. At least one supposedly “non‐crested” hadrosaur is known to have possessed a soft tissue cranial crest (or comb), based on an exceptionally preserved “mummified” specimen. Here we redescribe this specimen and
Henry S. Sharpe +4 more
wiley +1 more source
Thermal structure and exhumation history of the Lesser Himalaya in central Nepal [PDF]
The Lesser Himalaya (LH) consists of metasedimentary rocks that have been scrapped off from the underthrusting Indian crust and accreted to the mountain range over the last ~20 Myr. It now forms a significant fraction of the Himalayan collisional orogen.
Avouac, J. P. +7 more
core +1 more source

