Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced 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
Effects of cutting tool geometry on material removal of a gradient nanograined CoCrNi medium entropy alloy. [PDF]
Beilstein J NanotechnolLu YS, Hung YX, Bui TX, Fang TH.
europepmc +1 more source
Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Advanced Engineering Materials, EarlyView.Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang +8 more
wiley +1 more source
Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials
Advanced 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
Study on magnetohydrodynamic internal cooling mechanism within an aluminium oxide cutting tool. [PDF]
Int J Adv Manuf TechnolO'Hara J, Fang F.
europepmc +1 more source
Cutting performances of heat-treated and surface-treated high-speed-steel tools
, 1962 Keiji Okushima +3 more
openalex +2 more sources
Direct Consolidation of Copper–Graphene Composite by Rotary Swaging
Advanced 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
Confidence Interval Estimation for Cutting Tool Wear Prediction in Turning Using Bootstrap-Based Artificial Neural Networks. [PDF]
Sensors (Basel)Colantonio L +3 more
europepmc +1 more source