Results 141 to 150 of about 1,079,645 (400)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Irreducible matrix resolution of the elasticity tensor for symmetry systems
In linear elasticity, a fourth order elasticity (stiffness) tensor of 21 independent components completely describes deformation properties of a material. Due to Voigt, this tensor is conventionally represented by a $6\times 6$ symmetric matrix.
Itin, Yakov
core
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle+2 more
wiley +1 more source
A note on the arc elacticity of demand [PDF]
This note presents a simple alternative measure for the arc elasticity of demand which comes naturally and does retain the salient characteristics of the point demand elasticity.
Andrés Vázquez
core
Laser powder‐bed fusion (L‐PBF) can produce dense WE43 magnesium alloy parts, but their mechanical properties are limited by a nonhomogeneous microstructure. This study investigates the effects of varying direct aging (T5) and artificial age‐hardening (T6) conditions on microstructure and strength. Optimized T6 treatment significantly improves strength
Prathviraj Upadhyaya+5 more
wiley +1 more source
The Cauchy relations in a molecular theory of elasticity [PDF]
Ivar Stakgold
openalex +1 more source
A Study on Thermal Expansion and Thermomechanical Behavior of Composite Metal Foams
The coefficient of thermal expansion of steel–steel composite metal foam (S‐S CMF) is shown to be lower than that of bulk stainless steel while its performance under compression demonstrate excellent mechanical stability and strength at all temperatures with gradualsoftening from 400 to 600 °C.
Zubin Chacko+2 more
wiley +1 more source