Results 31 to 40 of about 202,833 (274)

Supervised and unsupervised learning of -dimensional even-offspring branching annihilating random walks

Machine Learning: Science and Technology
Machine learning (ML) of phase transitions (PTs) has gradually become an effective approach that enables us to explore the nature of various PTs more promptly in equilibrium and nonequilibrium systems.
Yanyang Wang, Wei Li, Feiyi Liu, Jianmin Shen   +3 more
doaj   +1 more source

Digital Methods for the Fatigue Assessment of Engineering Steels

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener, Johannes Rosenberger, Michael Luke, José Manuel Domínguez, Joana Francisco Morgado, Hans‐Ulrich Kobialka, Torsten Kraft, Johannes Tlatlik   +7 more
wiley   +1 more source

Branching Random Walks in Time Inhomogeneous Environments [PDF]

, 2011
We study the maximal displacement of branching random walks in a class of time inhomogeneous environments. Specifically, binary branching random walks with Gaussian increments will be considered, where the variances of the increments change over time ...
Fang, Ming, Zeitouni, Ofer
core   +3 more sources

Electrospinning Technology, Machine Learning, and Control Approaches: A Review

Advanced Engineering Materials, Volume 27, Issue 7, April 2025.
Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani, Gorkem Anil Al, Nael Berri, Bernardo Castro‐Dominguez, Hannah S. Leese, Uriel Martinez‐Hernandez   +5 more
wiley   +1 more source

Martin boundaries and asymptotic behavior of branching random walks [PDF]

arXiv, 2023
Let $G$ be an infinite, locally finite graph. We investigate the relation between supercritical, transient branching random walk and the Martin boundary of its underlying random walk. We show results regarding the typical asymptotic directions taken by the particles, and as a consequence we find a new connection between $t$-Martin boundaries and ...
arxiv  

Ecological equilibrium for restrained branching random walks

, 2006
We study a generalized branching random walk where particles breed at a rate which depends on the number of neighboring particles. Under general assumptions on the breeding rates we prove the existence of a phase where the population survives without ...
Bertacchi, Daniela, Posta, Gustavo, Zucca, Fabio   +2 more
core   +2 more sources

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier, Celso Ricardo Caldeira Rêgo, Han Lin Mai, Ujjal Saikia, Osamu Waseda, Markus Apel, Felix Arendt, Alexander Aschemann, Bernd Bayerlein, Robert Courant, Gordian Dziwis, Florian Fuchs, Ulrich Giese, Kurt Junghanns, Mohamed Kamal, Lukas Koschmieder, Sebastian Leineweber, Marc Luger, Marco Lukas, Jürgen Maas, Jana Mertens, Björn Mieller, Ludger Overmeyer, Norbert Pirch, Jan Reimann, Sebastian Schröck, Philipp Schulze, Jörg Schuster, Alexander Seidel, Oleg Shchyglo, Marek Sierka, Frank Silze, Simon Stier, Marvin Tegeler, Jörg F. Unger, Matthias Weber, Tilmann Hickel, Jörg Schaarschmidt   +37 more
wiley   +1 more source

A functional CLT for the occupation time of a state-dependent branching random walk

, 2007
We show that the centred occupation time process of the origin of a system of critical binary branching random walks in dimension $d\ge 3$, started off either from a Poisson field or in equilibrium, when suitably normalized, converges to a Brownian ...
Iljana Zähle, Matthias Birkner, Universität Erlangen–nürnberg   +2 more
core   +2 more sources

Rational Engineering of Nanostructured AgM (M = Au, Pt, Pd) Bimetallic Electrodes via Galvanic Replacement for Glycerol Electrolysis

Advanced Engineering Materials, Volume 27, Issue 9, May 2025.
This study demonstrates the feasibility of fabricating free‐standing carbon paper electrodes by electroplating and galvanic replacement. Nanostructured AgM (M = Au, Pt, Pd) bimetallic catalysts are directly grown on the electrode substrate, which exhibit good performance for glycerol electrolysis, a sustainable approach for the co‐production of green ...
Hui Luo, Maria‐Magdalena Titirici
wiley   +1 more source

Mechanical Properties of Nanoporous Graphenes: Transferability of Graph Machine‐Learned Force Fields Compared to Local and Reactive Potentials

Advanced Functional Materials, Volume 35, Issue 13, March 25, 2025.
Machine learning force fields (MLFFs) enable molecular simulations of molecules, materials and interfaces with ab initio accuracy at a fraction of the cost. This study benchmarks graph‐based and local MLFFs for nanoporous graphenes, demonstrating that graph‐based models excel at capturing stress‐strain behavior, phonon dispersion, and failure ...
Adil Kabylda, Bohayra Mortazavi, Xiaoying Zhuang, Alexandre Tkatchenko   +3 more
wiley   +1 more source