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1 pages, 174 KiB

Open AccessEditorial

Statement of Peer Review

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Phys. Sci. Forum 2023, 6(1), 8; https://doi.org/10.3390/psf2023006008 - 13 Oct 2023

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Abstract

In submitting conference proceedings to Physical Sciences Forum, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...] Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

6 pages, 2521 KiB

Open AccessEditorial

Preface of the First International Conference on Physics of Semiconductor Devices, Renewable Energies, and Environment

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Phys. Sci. Forum 2023, 6(1), 9; https://doi.org/10.3390/psf2023006009 - 13 Oct 2023

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Abstract

The University of Bechar, Algeria, held an international conference on physics, renewable energies, and environment (ICPSDREE) from 14 to 16 November 2022 [...] Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

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2 pages, 2168 KiB

Open AccessAbstract

Geothermal Energy in Algeria and the Contribution of Geophysics

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Leila Aliouane

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Sid-Ali Ouadfeul

Phys. Sci. Forum 2023, 6(1), 2; https://doi.org/10.3390/psf2023006002 - 27 Mar 2023

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Abstract

Geothermal energy is one of the cleanest, most accessible and cheapest alternative energies in the whole world [...] Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

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2 pages, 191 KiB

Open AccessAbstract

Methods and Interests of Bioelectric Impedance in Medical Practice

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Lotfi Rahal

Phys. Sci. Forum 2023, 6(1), 3; https://doi.org/10.3390/psf2023006003 - 18 Apr 2023

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Abstract

The development of new tools of functional explorations in medicine revolutionized the means of the diagnosis of different pathologies and allowed a clear improvement of the patients’ management [...] Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

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8 pages, 1548 KiB

Open AccessProceeding Paper

Heating Kinetics of Gold Nanoparticles in Biological Tissues with a Femtosecond Laser

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Selma Mediene

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Assia Rachida Senoudi

Phys. Sci. Forum 2023, 6(1), 1; https://doi.org/10.3390/psf2023006001 - 24 Mar 2023

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Abstract

This work deals with a numerical study of the different thermal processes in a gold nanoparticle heated with a femtosecond pulse laser and cooled in different biological tissues, such as healthy human prostate, blood, fat, tumor prostate, skin and protein myoglobin. A 40 [...] Read more.

This work deals with a numerical study of the different thermal processes in a gold nanoparticle heated with a femtosecond pulse laser and cooled in different biological tissues, such as healthy human prostate, blood, fat, tumor prostate, skin and protein myoglobin. A 40 nm diameter gold nanoparticle is heated using a femtosecond pulse laser with a duration of 85 fs and a fluence of 1.4 J/m². A two-temperature model is used to describe the dynamics of the exchange of energy between the electron gas and the phononic lattice in addition to Fourier’s law and the relationship between the thermal conductivity of the external medium and the temperature. The temperature of the external medium near the nanoparticle surface was computed, and the effect of the laser energy was reported. Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

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8 pages, 2266 KiB

Open AccessProceeding Paper

Development of a Mathematical Model Based on an Artificial Neural Network (ANN) to Predict Nickel Uptake Data by a Natural Zeolite

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Boukhari Mehdi

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Daouia Brahmi-Ingrachen

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Hayet Belkacemi

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Laurence Muhr

Phys. Sci. Forum 2023, 6(1), 4; https://doi.org/10.3390/psf2023006004 - 25 Apr 2023

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Abstract

In this investigation, an artificial-neural-network-based mathematical model was developed for the prediction of nickel adsorption data. As input variables, the initial concentration, adsorbent dosage, and pH of the nickel solution were chosen, while the removal efficiency was chosen as an output variable. The [...] Read more.

In this investigation, an artificial-neural-network-based mathematical model was developed for the prediction of nickel adsorption data. As input variables, the initial concentration, adsorbent dosage, and pH of the nickel solution were chosen, while the removal efficiency was chosen as an output variable. The hyperparameters were optimized to determine the perfect topology for the model. The study demonstrated that the 3-2-1 ANN architecture was the most suitable topology. The determination coefficient of 0.98 and the mean squared error of 0.02 indicated the high performance of the developed model, which was successfully applied for isotherm data prediction. Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

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8 pages, 5097 KiB

Open AccessProceeding Paper

Impact of Artificial Intelligence in Renewable Energy Management of Hybrid Systems

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Benhammou Aissa

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Tedjini Hamza

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Guettaf Yacine

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Hartani Mohamed Amine

Phys. Sci. Forum 2023, 6(1), 5; https://doi.org/10.3390/psf2023006005 - 24 May 2023

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Abstract

The field of energy is of great interest for development, especially in the transportation industry. This paper investigates a hybrid electric vehicle (HEV) with two-wheel drives powered by a fuel cell, battery, DC generators, and supercapacitors. Each energy source is connected to a [...] Read more.

The field of energy is of great interest for development, especially in the transportation industry. This paper investigates a hybrid electric vehicle (HEV) with two-wheel drives powered by a fuel cell, battery, DC generators, and supercapacitors. Each energy source is connected to a specific controllable converter. The authors compared the energy management strategies of the Adaptive Neuro-Fuzzy Inference System (ANFIS) with classical energy management strategies. The proposed ANFIS method reduced hydrogen consumption by 8% compared to the classical approach, and improved efficiency to over 98%. The primary objective of this work is to demonstrate the impact of artificial intelligence in renewable energy management strategies (EMSs), with the aim of improving system performance as much as possible by comparing it with classical methods such as state machine (SM) and PI strategies. Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

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12 pages, 9135 KiB

Open AccessProceeding Paper

Robust Frequency-Decoupling-Based Power Split of Battery/Supercapacitor Hybrid Energy Storage Systems in DC Microgrids

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Mohamed Amine Hartani

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Phys. Sci. Forum 2023, 6(1), 6; https://doi.org/10.3390/psf2023006006 - 21 Jun 2023

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Abstract

A frequency-decoupling-based power split was used in this study to manage a direct-current microgrid (DC-MG)-based PV and hybridized energy storage system (HESS), which consisted of a battery and a supercapacitor. The HESS control integrated a dual-loop structure for bus voltage regulation and recovery [...] Read more.

A frequency-decoupling-based power split was used in this study to manage a direct-current microgrid (DC-MG)-based PV and hybridized energy storage system (HESS), which consisted of a battery and a supercapacitor. The HESS control integrated a dual-loop structure for bus voltage regulation and recovery and HESS charge/discharge control. Hysteresis current control (HCC) tracked the supercapacitor setpoint current using low-pass filtering (LPF) control. The system reliability was assessed using pulsing, smooth, and disturbed PV and load waveforms with standard and advanced LPF methods. The Matlab simulation results confirmed a superior HESS control performance under varying resource waveforms. Key performance indexes (KPIs) were used to evaluate the bus voltage, HESS current management, loading efficiency, and loading mismatch. Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

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7 pages, 2798 KiB

Open AccessProceeding Paper

Effect of Sn Doping on the Photocatalytic Properties of ZnO

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Fayssal Boufelgha

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Rahima Zellagui

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Mohamed-Cherif Benachour

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Heider Dehdouh

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Fayçal Labrèche

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Nourddine Brihi

Phys. Sci. Forum 2023, 6(1), 7; https://doi.org/10.3390/psf2023006007 - 17 Aug 2023

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Abstract

In this work, we synthesized solutions of un-doped ZnO and ZnO doped with tin (Sn) by the sol-gel method. From these solutions, we deposited thin layers on glass substrates by the spin-coating technique. The main purpose of this work is to study the [...] Read more.

In this work, we synthesized solutions of un-doped ZnO and ZnO doped with tin (Sn) by the sol-gel method. From these solutions, we deposited thin layers on glass substrates by the spin-coating technique. The main purpose of this work is to study the influence of the incorporation of Sn into the ZnO matrix on the photocatalytic properties of the latter. The crystal structure is hexagonal with a preferential orientation of the crystallites (002), and the reduction in the size of the grains is observed from 21 nm for the un-doped ZnO to 15 nm for the doped ZnO. For both samples, the transparency in the visible region is high and exceeds 75%, and a slight change in the band gap is from 3.22 to 3.23 eV, i.e., it is attributed to a combination of the Burstein–Moss effect and electron-impurity scattering. The methylene blue UV photocatalysis test gives a degradation rate of 40% for un-doped ZnO and 60% for Sn-doped ZnO (2%). This study confirms the remarkable influence of Sn doping on the photocatalytic properties of ZnO and also on its morphological and optical properties. Full article

(This article belongs to the Proceedings of The 1st International Conference on Physics of Semiconductor Devices, Renewable Energies and Environment)

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