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Communications on Applied Mathematics and Computation 2024年第3期6卷 1899-1923页

作者： sergio torregrosa Victor Champaney Amine Ammar Vincent Herbert Francisco Chinesta PIMM Arts et Metiers Institute of Technology151 Boulevard de l'Hopital75013 ParisFrance STELLANTIS Route de Gisy78140 Velizy-VillacoublayFrance ESI Chair PIMMArts et Metiers Institute of Technology151 Boulevard de l'Hopital75013 ParisFrance ESI Chair LAMPAArts et Metiers Institute of Technology2 Boulevard du Ronceray49035 AngersFrance

The sampling of the training data is a bottleneck in the development of artificial intelligence(AI)models due to the processing of huge amounts of data or to the difficulty of access to the data in industrial *** learning(AL)approaches are useful in such a context since they maximize the performance of the trained model while minimizing the number of training *** smart sampling methodologies iteratively sample the points that should be labeled and added to the training set based on their informativeness and *** judge the relevance of a data instance,query rules are *** this paper,we propose an AL methodology based on a physics-based query *** some industrial objectives from the physical process where the AI model is implied in,the physics-based AL approach iteratively converges to the data instances fulfilling those objectives while sampling training ***,the trained surrogate model is accurate where the potentially interesting data instances from the industrial point of view are,while coarse everywhere else where the data instances are of no interest in the industrial context studied.

关键词： Active learning(AL) Artificial intelligence(AI) Optimization Physics based

An Optimal Design Method Based on Small Amplitude Homogenization

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Chinese Annals of Mathematics,Series B 2015年第5期36卷 843-854页

作者： sergio GUTIERREZ Department of Structural and Geotechnical Engineering Pontificia Universidad Catolica de Chile

An optimal design method for two materials based on small amplitude homogenization is presented. The method allows to use quite general objective functions at the price that the two materials should have small contrasts in their relevant physical parameters. The following two applications are shown: Stress constrained compliance minimization and defect location in elastic bodies.

关键词： Homogenization Inverse problems Relaxation Stress concentration

Molecular and crystal assembly inside the carbon nanotube:encapsulation and manufacturing approaches

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Advances in Manufacturing 2013年第3期1卷 198-210页

作者： sergio Manzetti Fjordforsk A.S. Institute of Science and Technology6896 FresvikNorway Van der Spoel Lab.Computational Systems and Biology Biomedical CentreUniversity of UppsalaP.O.Box 25675105 UppsalaSweden

Encapsulation of different guestspecies such as molecules and ions inside carbon nanotubes （CNTs） has been reported in the literatures during the last 15 years and repre sents an exciting development of nanoengineering of novel materials and composites. The reported nanocomposite mate rials show the semiconducting properties with potential applications in nanosensors, nanounits and nanocircuits as well as advanced energy transfer and storage properties, and encompass manufacturing for novel nanowires, nanoelectronic devices with properties designed with optoelectronic, spin tronic and nanomagnetic qualities. This review reports on a wide range of encapsulation references with particular focus on single molecules, atomic chains, metal halides and polymers encapsulated inside CNTs. The encapsulation methods and the chemical and physical qualities of these novel materials are crucial for the future manufacturing of novel innovations in nanotechnology, and represent therefore the current stateof theart of encapsulation methods in advanced manufacturing.

关键词： Encapsulation Carbon nanotubes (CNTs)Composites conductive Molecules

State-of-the-art developments in metal and carbon-based semiconducting nanomaterials： applications and functions in spintronics, nanophotonics, and nanomagnetics

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Advances in Manufacturing 2017年第2期5卷 105-119页

作者： sergio Manzetti Francesco Enrichi Fjordforsk MS NanoFactory Midtun 6894 VangsnesNorway Computational Biology and Bioinformatics Uppsala University 75124 Uppsala Sweden Historical Museum of Physics and Research and Study Center Enrico Fermi 00184 Rome Italy Division of Materials Science Department of Engineering Sciences and Mathematics Lnlea University of Technology971 87 Lulea Sweden Department of Molecular and Nanosystems Sciences Ca' Foscari University of Venice 30172 Mestre VenetiaItaly Institute of Photonics and Nanotechnologies CSMFO Lab. &FBK-CMM IFN-CNR 38123 Povo Trento Italy

Nanomaterials composed of metals and metal alloys are the most valuable components in emerging micro- and nano-electronic devices and innovations to date. The composition of these nanomaterials, their quantum chemical and physical properties, and their production methods are in critical need of summarization, so that a complete state of the art of the present and future of nanotechnologies can be presented. In this review, we report on the most recent activities and results in the fields of spintronics, nanophotonics, and nanomagnetics, with particular emphasis on metallic nanoparticles in alloys and pure metals, as well as in organic combinations and in relation to carbon-based nanostructures. This review shows that the combinatory synthesis of alloys with rare metals, such as scandium, yttrium, and rare earths imparts valuable qualities to high-magnetic-field compounds, and provides unique properties with emphasis on nanoelectronic and computational components. In this review, we also shed light on the methods of synthesis and the background of spintronic, nanomagnetic, and nanophotonic materials, with applications in optics, diagnostics, nanoelectronics, and computational nanotechnology. The review is important for the industrial development of novel materials, and for summarizing both fabrication and manufacturing methods, as well as principles and functions of metallic nanoparticles.

关键词： Metal Alloy Nanoparticle Spintronics Nanophotonics Nanomagnetics Method Synthesis

Intestinal dendritic cells in the pathogenesis of inflammatory bowel disease

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World Journal of Gastroenterology 2011年第33期17卷 3761-3775页

作者： sergio Rutella Franco Locatelli Department of Pediatric Hematology/Oncology IRCCS Children's Hospital"Bambino Gesù"00165 RomeItaly Catholic University Medical School 00168 RomeItaly Franco Locatelli University of Pavia27100 PaviaItaly

The gastrointestinal tract harbors a large number and diverse array of commensal bacteria and is an important entry site for *** these reasons,the intestinal immune system is uniquely dedicated to protect against infections,while avoiding the development of destructive inflammatory responses to the *** models have been proposed to explain how the immune system discriminates between,and appropriately responds to,commensal and pathogenic *** cells(DCs)and regulatory T cells(Treg)are instrumental in maintaining immune homeostasis and tolerance in the *** are virtually omnipresent and are remarkably plastic,having the ability to adapt to the influences of the *** DC populations with partially overlapping phenotypic and functional properties have been described in different anatomical *** in the draining mesenteric lymph nodes,in the intestinal lamina propria and in Peyer's patches partake both in the control of intestinal inflammation and in the maintenance of gut *** this respect,gutresident DCs and macrophages exert tolerogenic functions as they regularly encounter and sense commensal *** contrast,migrating DC subsets that are recruited to the gut as a result of pathogenic insults initiate immune ***,tolerogenic DCs act by promoting the differentiation and expansion of Treg cells that efficiently modulate gut inflammation,as shown both in preclinical models of colitis and in patients with inflammatory bowel disease(IBD).This article reviews the phenotypic and functional features of gut DC subsets and discusses the current evidence underpinning the DC contribution to the pathogenesis of the major clinical subtypes of human *** also addresses the potential clinical benefit derived from DC targeting either in vivo or in vitro.

关键词： Dendritic cell Tolerance Gut Inflammatory bowel disease Cytokine Regulatory T cells

Gorenstein injective sheaves

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Frontiers of Mathematics in China 2017年第1期12卷 87-95页

作者： sergio ESTRADA Alina IACOB Departamento de Matem~ticas Universidad de Murcia Murcia 30100 Spain Department of Mathematical Sciences Georgia Southern University Statesboro GA 3O460 USA

We define Gorenstein injective quasi-coherent sheaves, and prove that the notion is local in case the scheme is Gorenstein. We also give a new characterization of a Gorenstein scheme in terms of the total acyclicity o... 详细信息

关键词： Gorenstein injective Noetherian scheme

Moderate/severe traumatic brain injury as a trigger of chronic neurodegeneration in humans

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Neural Regeneration Research 2020年第7期15卷 1247-1248页

作者： sergio Bagnato Cristina Boccagni Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries Rehabilitation Department Giuseppe Giglio Foundation

Traumatic brain injury(TBI)is the paradigmatic example of acute brain injury,defined as sudden and unexpected structural and/or functional damage to the *** western countries,TBI is a main cause of prolonged disability,and it is even more impactful because it very often affects young *** to past belief,the cerebral damage caused by TBI is not limited to the short temporal phase following the mechanical ***,moderate/severe TBI can trigger several mechanisms of neuronal damage that operate for months or years after the acute injury,potentially leading to neuronal loss and brain atrophy.

关键词： acute damage injury

Reactive pathways toward parasitic release of singlet oxygen in metal-air batteries

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npj Computational Materials 2021年第1期7卷 1135-1142页

作者： Adriano Pierini sergio Brutti Enrico Bodo Department of Chemistry University of Rome“La Sapienza”RomeItaly GISEL—Centro di Riferimento Nazionale per i Sistemi di Accumulo Elettrochimico di Energia FirenzeItaly

The superoxide disproportionation reaction is a key step in the chemistry of aprotic metal oxygen batteries that controls the peroxide formation upon discharge and opens the way for singlet oxygen *** we clarify the energy landscape of the disproportionation of superoxide in aprotic media catalyzed by group 1A *** analysis is based on ab initio multireference computational methods and unveils the competition between the expected reactive path leading to peroxide and an unexpected reaction channel that involves the reduction of the alkaline *** channels lead to the release of triplet and singlet O_(2).The existence of this reduction channel not only facilitates singlet oxygen release but leads to a reactive neutral solvated species that can onset parasitic chemistries due to their well-known reducing ***,we show that the application of moderate overpotentials makes both these channels accessible in aprotic batteries.

关键词： properties release singlet

Superattracting cycles for some Newton type iterative methods

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Science China Mathematics 2011年第3期54卷 539-544页

作者： AMAT sergio BUSQUIER Sonia NAVARRO Emilie PLAZA sergio Departamento de Matemtica Aplicada y Estadistica Universidad Politécnica de Cartagena Ecole Généraliste d'Ingénieurs de Marseille (EGIM) Departamento de Matemticas Facultad de Ciencias Universidad de Santiago de Chile

The paper is devoted to the analysis of certain dynamical properties of a family of iterative Newton type methods used to find roots of non-linear equations. We present a procedure for constructing polynomials in such a way that superattracting cycles of any prescribed length occur when these iterative methods are applied. This paper completes the study begun in Amat, Bermúclez, Busquier, et al., (2009).

关键词： iterative methods (super)attracting cycles dynamics

Performance Improvement of Artificial Neural Network Model in Short-term Forecasting of Wind Farm Power Output

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 484-490页

作者： sergio Velázquez Medina Ulises Portero Ajenjo Department of Electronics and Automatics Engineering Universidad de Las Palmas de Gran CanariaCampus de Tafira s/n35017 Las Palmas de Gran CanariaCanary IslandsSpain School of Industrial and Civil Engineering University of Las Palmas de Gran CanariaCampus de Tafira s/n35017 Las Palmas de Gran CanariaCanary IslandsSpain

Due to the low dispatchability of wind power,the massive integration of this energy source in power systems requires short-term and very short-term wind power output forecasting models to be as efficient and stable as possible.A study is conducted in the present paper of potential improvements to the performance of artificial neural network(ANN)models in terms of efficiency and ***,current ANN models have been developed by considering exclusively the meteorological information of the wind farm reference station,in addition to selecting a fixed number of time periods prior to the *** this respect,new ANN models are proposed in this paper,which are developed by:varying the number of prior 1-h periods(periods prior to the forecasting hour)chosen for the input layer parameters;and/or incorporating in the input layer data from a second weather station in addition to the wind farm reference *** has been found that the model performance is always improved when data from a second weather station are *** mean absolute relative error(MARE)of the new models is reduced by up to 7.5%.Furthermore,the longer the forecasting horizon,the greater the degree of improvement.

关键词： Artificial neural networks(ANN) wind power forecasting model performance wind power output