Results 31 to 40 of about 10,118 (268)

Random Dynamics of the Stochastic Boussinesq Equations Driven by Lévy Noises

Abstract and Applied Analysis, 2013
This paper is devoted to the investigation of random dynamics of the stochastic Boussinesq equations driven by Lévy noise. Some fundamental properties of a subordinator Lévy process and the stochastic integral with respect to a Lévy process are discussed,
Jianhua Huang, Yuhong Li, Jinqiao Duan
doaj   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

Path integral solutions for n-dimensional stochastic differential equations under α-stable Lévy excitation

Theoretical and Applied Mechanics Letters, 2023
In this paper, the path integral solutions for a general n-dimensional stochastic differential equations (SDEs) with α-stable Lévy noise are derived and verified.
Wanrong Zan, Yong Xu, Jürgen Kurths
doaj   +1 more source

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

Modified Block-Pulse Functions Scheme for Solve of Two-Dimensional Stochastic Integral Equations

Journal of Mathematical Sciences and Modelling, 2020
In this paper, two-dimensional modified block-pulse functions (2D-MBPFs) method is introduced for approximate solution of 2D-linear stochastic Volterra-Fredholm integral equations so the ordinary and stochastic operrational matrices of integration are ...
Mohsen Fallahpour, Morteza Khodabin
doaj   +1 more source

Efficient Process Development for Laser Powder Bed Fusion of a Soft‐Magnetic Metallic Glass Composite

Advanced Engineering Materials, EarlyView.
Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand, Priyanka Saha, Vidhiaza Leviandhika, Urban Wiklund, Alexander Elsen, Carolin Zintel, Lena Thorsson, Petra E. Jönsson   +7 more
wiley   +1 more source

Fuzzy stochastic differential equations driven by fractional Brownian motion

Advances in Difference Equations, 2021
In this paper, we consider fuzzy stochastic differential equations (FSDEs) driven by fractional Brownian motion (fBm). These equations can be applied in hybrid real-world systems, including randomness, fuzziness and long-range dependence.
Hossein Jafari, Marek T. Malinowski, M. J. Ebadi   +2 more
doaj   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Stochastic dynamic equations on general time scales

Electronic Journal of Differential Equations, 2013
In this article, we construct stochastic integral and stochastic differential equations on general time scales. We call these equations stochastic dynamic equations.
Martin Bohner, Olexandr M. Stanzhytskyi, Anastasiia O. Bratochkina   +2 more
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