Results 121 to 130 of about 24,698,590 (380)

Research on Ferromagnetic Hysteresis of a Magnetorheological Fluid Damper

open access: yesFrontiers in Materials, 2019
The inherent hysteresis of magnetorheological fluid dampers is one of the main reasons which limit their applications. The hysteresis mainly caused from two aspects.
Zhaochun Li, Yao Gong
doaj   +1 more source

Nonlinear Elliptic Systems and Nonlinear Parabolic Systems [PDF]

open access: yesJournal of Applied Mathematics, 2014
Wei, Li   +3 more
openaire   +4 more sources

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

Characteristics of simplified frequency-domain Volterra series based S-mode receiver

open access: yesDianxin kexue, 2022
The nonlinear characteristics of multilateration(MLAT) system were analyzed by simplified frequency-domain Volterra series when the S-mode signal response pulse was input.Firstly, take the typical super heterodyne receiver system for example, the model ...
Fengxun GONG, Jiankun LI
doaj  

Rate of convergence for a Galerkin scheme approximating a two-scale reaction-diffusion system with nonlinear transmission condition [PDF]

open access: yes, 2010
We study a two-scale reaction-diffusion system with nonlinear reaction terms and a nonlinear transmission condition (remotely ressembling Henry's law) posed at air-liquid interfaces.
Lakkis, Omar, Muntean, Adrian
core   +2 more sources

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

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

open access: yesAdvanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat   +6 more
wiley   +1 more source

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