Results 91 to 100 of about 458,395 (307)

New Representations of the Group Inverse of 2×2 Block Matrices

open access: yesJournal of Applied Mathematics, 2013
This paper presents a full rank factorization of a 2×2 block matrix without any restriction concerning the group inverse. Applying this factorization, we obtain an explicit representation of the group inverse in terms of four individual blocks of the ...
Xiaoji Liu, Qi Yang, Hongwei Jin
doaj   +1 more source

A Perspective on Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed Stainless Steels

open access: yesAdvanced Engineering Materials, EarlyView.
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker   +5 more
wiley   +1 more source

Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes

open access: yesAdvanced Engineering Materials, EarlyView.
Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh   +3 more
wiley   +1 more source

Sobre el problema inverso de difusión

open access: yesRevista de Matemática: Teoría y Aplicaciones, 2009
Infiltration is physically described in order to model it as a diffusion stochastic process. Theorem M-B 1 is enunciated; whose main objective is the inverse diffusion problem. The theorem is demonstrated in the specific context of solution injectability,
José Roberto Mercado Escalante   +2 more
doaj   +1 more source

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

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

open access: yesAdvanced 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

Influence of Testing Temperature on the Mechanical Performance of Brazed Conventionally and Additively Manufactured 316L Stainless Steel Joints

open access: yesAdvanced Engineering Materials, EarlyView.
This study reports for the first time the mechanical properties of brazed joints featuring Additively manufactured parts, such parts will likely need to be joined or combined with other components, and brazing offers a way of doing this for complex shapes without distortion. A new shear test methodology developed for such joints is also described.
Frances Livera   +7 more
wiley   +1 more source

The Inverse of Exact Renormalization Group Flows as Statistical Inference

open access: yesEntropy
We build on the view of the Exact Renormalization Group (ERG) as an instantiation of Optimal Transport described by a functional convection–diffusion equation.
David S. Berman, Marc S. Klinger
doaj   +1 more source

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