Results 51 to 60 of about 1,105,091 (285)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Improvements to EXSIM in Ground Motion Simulation for Earthquakes Explained by Double‐Corner‐Frequency Source Model

Earth and Space Science
The stochastic EXtended finite‐fault ground‐motion SIMulation algorithm (EXSIM) has been widely applied in simulating and predicting broadband strong ground‐motion.
Wanjun Ma, Zhinan Xie, Lei Fu, Zhendong Shan, Jianqi Lu, Lihua Tang, Xubin Zhang   +6 more
doaj   +1 more source

The Stochastic Θ-Method for Nonlinear Stochastic Volterra Integro-Differential Equations

Abstract and Applied Analysis, 2014
The stochastic Θ-method is extended to solve nonlinear stochastic Volterra integro-differential equations. The mean-square convergence and asymptotic stability of the method are studied. First, we prove that the stochastic Θ-method is convergent of order
Peng Hu, Chengming Huang
doaj   +1 more source

Stochastic soliton solutions of ion sound and Langmuir wave equation via new extended direct algebraic method with bifurcation and modulation instability analyses [PDF]

AIP Advances
This paper investigates the impact of multiplicative noise on the stochastic equations of ion sound and Langmuir waves in the Itô sense. The stochastic soliton solutions of the stochastic equations of the ion sound and Langmuir waves are obtained by ...
Zuha Manzoor, Farrah Ashraf, Mustafa Inc, Baboucarr Ceesay   +3 more
doaj   +1 more source

On a Stochastic Approximation Method [PDF]

The Annals of Mathematical Statistics, 1954
Asymptotic properties are established for the Robbins-Monro [1] procedure of stochastically solving the equation $M(x) = \alpha$. Two disjoint cases are treated in detail. The first may be called the "bounded" case, in which the assumptions we make are similar to those in the second case of Robbins and Monro. The second may be called the "quasi-linear"
openaire   +3 more sources

Multilevel Hybrid Split-Step Implicit Tau-Leap

, 2016
In biochemically reactive systems with small copy numbers of one or more reactant molecules, the dynamics is dominated by stochastic effects. To approximate those systems, discrete state-space and stochastic simulation approaches have been shown to be ...
Hammouda, Chiheb Ben, Moraes, Alvaro, Tempone, Raul   +2 more
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Impact of Mining Disturbance on Highway Sustainability: A Case Study of Aleksinac Mine Area, Serbia

Applied Sciences
Underground coal mining in expansive basins has led to land subsidence, posing significant threats to the aboveground structures and the environment. Addressing this issue is paramount, necessitating accurate and reliable prediction methods.
Nenad M. Vušović, Ryszard Hejmanowski, Milica M. Vlahović   +2 more
doaj   +1 more source

A stochastic Fubini theorem: BSDE method

Journal of Inequalities and Applications, 2017
In this paper, we prove a stochastic Fubini theorem by solving a special backward stochastic differential equation (BSDE, for short) which is different from the existing techniques. As an application, we obtain the well-posedness of a class of BSDEs with
Yanqing Wang
doaj   +1 more source