Results 221 to 230 of about 838,874 (359)

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
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

On the Tool Wear in Cutting of Plastics

open access: bronze, 1963
Masami MASUKO   +2 more
openalex   +2 more sources

Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents a predictive multiscale modeling tool for defect analysis of fused filament fabricated‐printed materials and their performance prediction using a mechanistic data science‐based reduced‐order modeling approach. Process‐induced defects are inherent to additively manufactured parts and significantly influence the performance of printed
Satyajit Mojumder   +3 more
wiley   +1 more source

Effect of SiC Addition to Al2O3 Ceramics Used in Cutting Tools. [PDF]

open access: yesMaterials (Basel), 2020
Gevorkyan E   +5 more
europepmc   +1 more source

Direct Consolidation of Copper–Graphene Composite by Rotary Swaging

open access: yesAdvanced Engineering Materials, EarlyView.
The applicability of the rotary swaging method for preparation of electroconductive copper–graphene composite by direct consolidation of powders is proven. The consolidated material features advantageous microstructure featuring fine grains and twins, with homogeneous distribution of graphene, primarily along the twin boundaries, which contribute to ...
Radim Kocich   +2 more
wiley   +1 more source

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