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
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General methods in analysis, for the resolution of linear equations in finite differences and linear differential equations [PDF]
Charles James Hargreave
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Solution of the Cauchy problem and the mixed problem for degenerating second order hyperbolic equations by the method of finite differences [PDF]
, 1968 Jiří Kopáček
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Advanced Engineering Materials, EarlyView.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
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On a Tentative Method of Smoothing of Contour Height by the Finite-difference Smoothing Operators
, 1957 Y. Masuda
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Best Least Squares Solutions to Finite Difference Equations Using the Generalized Inverse and Tensor Product Methods [PDF]
, 1973 John F. Dalphin, V. Lovass‐Nagy
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Advanced Engineering Materials, EarlyView.This article concerns room temperature tensile testing, with a range of (nominal) strain rates, of three titanium alloys. Stress–strain curves are analyzed to obtain creep characteristics. Profilometry‐based indentation plastometry testing is also covered, using different penetration velocities, and correlations established with tensile data.
Philip John McKeown +2 more
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A variable order finite difference method for nonlinear multipoint boundary value problems [PDF]
, 1974 M. Lentini, Víctor Pereyra
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Advanced Engineering Materials, EarlyView.This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
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The solution of the equation of minimal surface by finite-difference method
, 1967 A. Agalcev, Mifodijus Sapagovas
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