Results 51 to 60 of about 10,791,227 (313)
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
On the Number of Rational Points of Jacobians over Finite Fields [PDF]
, 2022 Philippe Lebacque, Deleted Author ID
openalex +1 more source
Advanced Engineering Materials, EarlyView.The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay +3 more
wiley +1 more source
Integral reduction with Kira 2.0 and finite field methods [PDF]
Computer Physics Communications, 2020 J. Klappert +3 more
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach +6 more
wiley +1 more source
Residual Stress States in Microstructurally Graded PBF–LB/M Austenitic Steel Components
Advanced Engineering Materials, EarlyView.This study examines microstructurally graded 316L rectangular tube profiles fabricated via PBF–LB/M using a dual‐laser system. A 1 kW top‐hat and a 400 W Gaussian laser create distinct grain sizes and crystallographic texture. Mechanical properties are linked to microstructural evolution driven by processing conditions.
Nico Möller +5 more
wiley +1 more source
Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study
Advanced Engineering Materials, EarlyView.Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Fe–12Mn–0.2C medium‐manganese steel is processed by laser‐based powder bed fusion of metals using blended as well as pre‐alloyed powder. Various scanning speeds are used to determine the influence of energy deposition rate on microstructure and mechanical properties.
Leoni Hübner +4 more
wiley +1 more source
Ranked solutions of the matric equation A1X1=A2X2
International Journal of Mathematics and Mathematical Sciences, 1980 Let GF(pz) denote the finite field of pz elements. Let A1 be s×m of rank r1 and A2 be s×n of rank r2 with elements from GF(pz). In this paper, formulas are given for finding the number of X1,X2 over GF(pz) which satisfy the matric equation A1X1=A2X2 ...
A. Duane Porter, Nick Mousouris
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Advanced Engineering Materials, EarlyView.Steel samples are investigated using complementary simulations and measurements. Transmission electron microscopy in bright‐field mode, combined with energy‐dispersive X‐ray spectroscopy maps for titanium and niobium, reveals distinct particle populations. Simulations reproduce these in size and composition.
Marc Laub +3 more
wiley +1 more source