Results 141 to 150 of about 24,564,249 (381)
Advanced 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
Modeling and prescribed H-infinity tracking control for strict feedback nonlinear systems
Nonlinear Analysis, 2017 By utilizing backstepping technique, an H∞ robust controller with improved prescribed performance and dynamic surface control is designed for a class of strict feedback nonlinear systems. The transient and steady state performance for the tracking errors
Chuang Gao +3 more
doaj +1 more source
Adaptive federated filter for multi-sensor nonlinear system with cross-correlated noises. [PDF]
PLoS One, 2021 Wang L, Wang S, Yang W.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.In this manuscript, the processability of X2CrNiMo17‐12‐2 powder coated with silicon carbide, silicon, and silicon nitride nanoparticles is investigated. The amount of nanoparticles varies from 0.25 to 1 vol%. By coating the powder feedstock material with nanoparticles, an enlargement of the process window and an increase in the build rate are achieved.
Nick Hantke +5 more
wiley +1 more source
A nonlinear boundary value problem for second order differential systems [PDF]
, 1955 William M. Whyburn
openalex +1 more source
Extension of Operational Matrix Technique for the Solution of Nonlinear System of Caputo Fractional Differential Equations Subjected to Integral Type Boundary Constrains. [PDF]
Entropy (Basel), 2021 Khalil H, Khalil M, Hashim I, Agarwal P.
europepmc +1 more source
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
A study of nonlinear systems with random inputs [PDF]
, 1959 Kuei Chuang, L. F. Kazda
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Dynamics of fractional order nonlinear system: A realistic perception with neutrosophic fuzzy number and Allee effect. [PDF]
J Adv Res, 2021 Alam Khan N +4 more
europepmc +1 more source