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Antonello Pasini and Stefano Amendola
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of cer...
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Dongeun Kim and Yoon Hyeok Bae
Generally, new and renewable energy systems generate electricity by installing and operating multiple modules simultaneously. In the Republic of Korea, recent studies and developments have focused on asymmetric wave energy converters (hereafter referred ...
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Fabio Bosco, Gerard Andonian, Obed Camacho, Martina Carillo, Enrica Chiadroni, Anna Giribono, Gerard Lawler, Nathan Majernik, Pratik Manwani, Mauro Migliorati, Andrea Mostacci, Luigi Palumbo, Gilles Jacopo Silvi, Bruno Spataro, Cristina Vaccarezza, Monika Yadav and James Rosenzweig
Particle-driven plasma wakefield acceleration (PWFA) exploits the intense wakefields excited in a plasma by a high-brightness driver beam in order to accelerate a trailing, properly delayed witness electron beam. Such a configuration offers notable advan...
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Mariane Rodrigues Rita, Pierre Rossi, Eduardo de Moraes Rego Fairbairn and Fernando Luiz Bastos Ribeiro
This paper presents an extension of the validation domain of a previously validated three-dimensional probabilistic semi-explicit cracking numerical model, which was initially validated for a specific concrete mix design. This model is implemented in a f...
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Stepan Yaramyshev, Winfried Barth, Simon Lauber, Maksym Miski-Oglu, Anna Rubin, Uwe Scheeler, Hartmut Vormann and Markus Vossberg
Numerous ambitious particle accelerator facilities, based on proton and ion linear accelerators, have recently been in development for fundamental research, as well as for industrial applications. The advanced design of such new machines, as well as the ...
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Tidjani Négadi
In this work, we present a new way of studying the mathematical structure of the genetic code. This study relies on the use of mathematical computations involving five Fibonacci-like sequences; a few of their ?seeds? or ?initial conditions? are chosen ac...
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Krittapat Bannajak, Nipon Theera-Umpon and Sansanee Auephanwiriyakul
In this paper, we propose a lossless electrocardiogram (ECG) compression method using a prediction error-based adaptive linear prediction technique. This method combines the adaptive linear prediction, which minimizes the prediction error in the ECG sign...
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Federico Piscaglia and Federico Ghioldi
We introduce algorithmic advancements designed to expedite simulations in OpenFOAM using GPUs. These developments include the following. (a) The amgx4Foam library, which connects the open-source AmgX library from NVIDIA to OpenFOAM. Matrix generation, in...
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Andrea Frazzitta, Alberto Bacci, Arianna Carbone, Alessandro Cianchi, Alessandro Curcio, Illya Drebot, Massimo Ferrario, Vittoria Petrillo, Marcello Rossetti Conti, Sanae Samsam, Luca Serafini and Andrea Renato Rossi
X-ray production through betatron radiation emission from electron bunches is a valuable resource for several research fields. The EuAPS (EuPRAXIA Advanced Photon Sources) project, within the framework of EuPRAXIA, aims to provide 1?10 keV photons (X-ray...
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Olivier Pantalé
Numerical methods based on finite element (FE) have proven their efficiency for many years in the thermomechanical simulation of forming processes. Nevertheless, the application of these methods to new materials requires the identification and implementa...
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