Results 41 to 50 of about 6,659,086 (346)

Stochastic simulation of reaction-diffusion systems: A fluctuating-hydrodynamics approach. [PDF]

Journal of Chemical Physics, 2016
We develop numerical methods for stochastic reaction-diffusion systems based on approaches used for fluctuatinghydrodynamics (FHD). For hydrodynamicsystems, the FHD formulation is formally described by stochastic partial differential equations (SPDEs ...
Changho Kim, A. Nonaka, J. Bell, Alejandro L. Garcia, A. Donev   +4 more
semanticscholar   +1 more source

Stochastic Simulations of Casual Groups

Mathematics, 2023
Free-forming or casual groups are groups in which individuals are in face-to-face interactions and are free to maintain or terminate contact with one another, such as clusters of people at a cocktail party, play groups in a children’s playground or ...
José F. Fontanari
doaj   +1 more source

A Dominated Coupling From The Past algorithm for the stochastic simulation of networks of biochemical reactions [PDF]

, 2008
24.02.14 KB. Ok to add published version to spiral, OA article.Background: In recent years, stochastic descriptions of biochemical reactions based on the Master Equation (ME) have become widespread. These are especially relevant for models involving gene
Mauricio Barahona, Hemberg, Martin, Barahona, Mauricio, Martin MartinHemberg, Martin Hemberg   +4 more
core   +1 more source

Efficient confidence interval computation for physics-aware machine learning of diffusion-sorption models

Frontiers in Water
The FInite Volume Neural Network (FINN) is an advanced, physics-aware machine learning (ML) framework that merges the structure and accuracy of traditional numerical methods with the flexibility of artificial neural networks.
Stefania Scheurer, Stefania Scheurer, Riccardo Frenner, Riccardo Frenner, Riccardo Frenner, Tim Brünnette, Tim Brünnette, Sergey Oladyshkin, Sergey Oladyshkin, Wolfgang Nowak, Wolfgang Nowak   +10 more
doaj   +1 more source

Using Self-Organizing Map Algorithm to Reveal Stabilities of Parameter Sensitivity Rankings in Microbial Kinetic Models: A Case for Microalgae

Clean Technologies, 2022
Microalgae are multi-purpose microbial agents due to their capability to efficiently sequester carbon dioxide and produce valuable biomass such as protein and single-cell oils.
Dhan Lord B. Fortela, Alyssa M. DeLattre, Wayne W. Sharp, Emmanuel D. Revellame, Mark E. Zappi   +4 more
doaj   +1 more source

Stochastic Non Destructive Testing simulation: sensitivity analysis applied to material properties in clogging of nuclear power plant steam generators

, 2013
La version éditeur de cette publication est disponible à l'adresse suivante : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6514684A Non destructive Testing (NDT) procedure is currently used to estimate the clogging of tube support plates in
MOREAU, Olivier, BEDDEK, Karim, LE MENACH, Yvonnick, CLENET, Stephane   +3 more
core   +1 more source

Stochastic simulations of the tetracycline operon [PDF]

BMC Systems Biology, 2011
Abstract Background The tetracycline operon is a self-regulated system. It is found naturally in bacteria where it confers resistance to antibiotic tetracycline. Because of the performance of the molecular elements of the tetracycline operon, these elements are widely used as parts of synthetic gene networks where the
Konstantinos Biliouris, Prodromos Daoutidis, Yiannis N. Kaznessis   +2 more
openaire   +2 more sources

Stochastic simulation in systems biology

Computational and Structural Biotechnology Journal, 2014
Natural systems are, almost by definition, heterogeneous: this can be either a boon or an obstacle to be overcome, depending on the situation. Traditionally, when constructing mathematical models of these systems, heterogeneity has typically been ignored,
Tamás Székely Jr., Kevin Burrage
doaj   +1 more source

A hybrid continuous-discrete method for stochastic reaction–diffusion processes [PDF]

Royal Society Open Science, 2016
Stochastic fluctuations in reaction–diffusion processes often have substantial effect on spatial and temporal dynamics of signal transductions in complex biological systems. One popular approach for simulating these processes is to divide the system into
Wing-Cheong Lo, Likun Zheng, Qing Nie
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source