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Related papers: Coupling Chemical Evolution with SPH

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In this paper we compare the experimental HERA data with the next-to-leading order approach (NLO) of Ref.[C.~Contreras, E.~Levin, R.~Meneses and M.~Sanhueza,Eur. Phys. J. C 80 (2020) no.11, 1029). This approach includes the re-summed NLO…

High Energy Physics - Phenomenology · Physics 2022-01-05 Carlos Contreras , Eugene Levin , Michael Sanhueza

Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analysed through solving the Chemical Master Equation (CME) or performing extensive simulations. Analysing stochasticity is often needed, particularly when some…

Logic in Computer Science · Computer Science 2015-09-11 Luca Laurenti , Luca Cardelli , Marta Kwiatkowska

This study explores the application of genetic algorithms in generating highly nonlinear substitution boxes (S-boxes) for symmetric key cryptography. We present a novel implementation that combines a genetic algorithm with the…

Cryptography and Security · Computer Science 2026-04-13 Oleksandr Kuznetsov , Nikolay Poluyanenko , Emanuele Frontoni , Marco Arnesano , Oleksii Smirnov

We develop a novel semi-analytic spectral fitting approach to quantify the star-formation histories (SFHs) and chemical enrichment histories (ChEHs) of individual galaxies. We construct simple yet general chemical evolution models that…

Astrophysics of Galaxies · Physics 2022-06-08 Shuang Zhou , Michael Merrifield , Alfonso Aragon-Salamanca

We apply two evolutionary search algorithms: Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) to the design of Cellular Automata (CA) that can perform computational tasks requiring global coordination. In particular, we…

Artificial Intelligence · Computer Science 2019-09-10 Anthony D. Rhodes

We demonstrate that the method of interleaved resampling in the context of parton showers can tremendously improve the statistical convergence of weighted parton shower evolution algorithms. We illustrate this by several examples showing…

High Energy Physics - Phenomenology · Physics 2020-10-28 Jimmy Olsson , Simon Plätzer , Malin Sjodahl

An analogy between combinatorial chemistry and Monte Carlo computer simulation is pursued. Examples of how to design libraries for both materials discovery and protein molecular evolution are given. For materials discovery, the concept of…

Statistical Mechanics · Physics 2007-05-23 Michael W. Deem

We present three dimensional hydrodynamical simulations aimed at studying the dynamical and chemical evolution of the interstellar medium (ISM) in isolated dwarf spheroidal galaxies (dSphs). This evolution is driven by the explosion of Type…

Astrophysics · Physics 2009-11-13 Andrea Marcolini , Annibale D'Ercole

In this paper we propose new probabilistic and dynamic (adaptive) strategies to create multi-method ensembles based on the Coral Reefs Optimization with Substrate Layers (CRO-SL) algorithm. The CRO-SL is an evolutionary-based ensemble…

Neural and Evolutionary Computing · Computer Science 2022-12-05 Jorge Pérez-Aracil , Carlos Camacho-Gómez , Eugenio Lorente-Ramos , Cosmin M. Marina , Sancho Salcedo-Sanz

We have developed a software library for chemical evolution simulations of galaxy formation under the simple stellar population (SSP) approximation. In this library, all of the necessary components concerning chemical evolution, such as…

Instrumentation and Methods for Astrophysics · Physics 2017-02-01 Takayuki R. Saitoh

This paper presents a new ensemble learning method for classification problems called projection pursuit random forest (PPF). PPF uses the PPtree algorithm introduced in Lee et al. (2013). In PPF, trees are constructed by splitting on…

Machine Learning · Statistics 2021-05-24 Natalia da Silva , Dianne Cook , Eun-Kyung Lee

In recent papers Mannucci et al. (2005, 2006) suggested, on the basis of observational arguments, that there is a bimodal distribution of delay times for the explosion of Type Ia SNe. In this paper, we test this hypothesis in models of…

Astrophysics · Physics 2009-11-11 F. Matteucci , N. Panagia , A. Pipino , F. Mannucci , S. Recchi , M. Della Valle

Differential enrichment between $\alpha$- and Fe-peak elements is known to be strongly connected with the shape of the star formation history (SFH), the star formation efficiency (SFE), the inflow and outflow of material, and even the shape…

HII regions powered by ionizing radiation from massive stars drive the dynamical evolution of the interstellar medium. Fast radiative transfer methods for incorporating photoionization effects are thus essential in astrophysical…

Instrumentation and Methods for Astrophysics · Physics 2025-02-25 Cheryl S. C. Lau , Maya A. Petkova , Ian A. Bonnell

We present preliminary results on the effects of mergers on the chemical properties of galactic objects in hierarchical clustering scenarios. We adopt a hydrodynamical chemical code that allows to describe the coupled evolution of dark…

Astrophysics · Physics 2007-05-23 S. A. Cora , P. B. Tissera , D. G. Lambas , M. B. Mosconi

In this PhD thesis, a novel method to determine protein structures using chemical shifts is presented.

Chemical Physics · Physics 2014-05-15 Anders S. Christensen

Technology convergence integrates distinct domains to create novel combinations, driving radical innovation that reshapes markets and industries. However, most approaches rely on pairwise networks that cannot capture multi-technology…

Physics and Society · Physics 2026-02-27 Yiwei Huang , Shuqi Xu , Shimin Cai , Linyuan Lü

We test and improve the numerical schemes in our smoothed particle hydrodynamics (SPH) code for cosmological simulations, including the pressure-entropy formulation (PESPH), a time-dependent artificial viscosity, a refined timestep…

We model the formation and evolution of galaxy clusters in the framework of an extended dark matter halo merger-tree algorithm that includes baryons and incorporates basic physical considerations. Our modified treatment is employed to…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 Irina Dvorkin , Yoel Rephaeli

A novel method for crystal structure prediction, based on metadynamics and evolutionary algorithms, is presented here. This technique can be used to produce efficiently both the ground state and metastable states easily reachable from a…

Materials Science · Physics 2012-06-08 Qiang Zhu , Artem R. Oganov , Andriy O. Lyakhov