Results 181 to 190 of about 2,341,415 (375)

Weighted bounds for multilinear operators with non-smooth kernels

open access: yes, 2015
Let $T$ be a multilinear integral operator which is bounded on certain products of Lebesgue spaces on $\mathbb R^n$. We assume that its associated kernel satisfies some mild regularity condition which is weaker than the usual H\"older continuity of those
Bui, The Anh   +3 more
core  

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Applications of the integral transforms composition method to wave-type singular differential equations and index shift transmutations

open access: yesElectronic Journal of Differential Equations, 2018
In this article we study applications of integral transforms composition method (ITCM) for obtaining transmutations via integral transforms. It is possible to derive wide range of transmutation operators by this method.
Ahmed Fitouhi   +3 more
doaj  

Enhancing the Versatility of Photocrosslinkable Silk Fibroin Using an Eco‐Friendly Solvent

open access: yesAdvanced Engineering Materials, Volume 27, Issue 7, April 2025.
Silk fibroin modified with photoreactive groups enables liquid‐to‐solid transitions under light, allowing precise structural control for biofabrication. Using a sustainable calcium chloride‐ethanol‐water solvent, a novel photofibroin (PF) is shown for light‐based manufacturing like 3D printing, forming cytocompatible hydrogels for regenerative medicine.
Anne Katherine Brooks   +1 more
wiley   +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

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