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Artoto Arkundato
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Jurusan Fisika, FMIPA, Universitas Jember Jalan Kalimantan No.37, Krajan Timur, Jember Lor, Kecamatan Sumbersari, Kabupaten Jember, Jawa Timur 68121
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Computational and Experimental Research in Materials and Renewable Energy (CERiMRE)
Published by Universitas Jember
ISSN : -     EISSN : 2747173X     DOI : https://doi.org/10.19184/cerimre.v3i2.23544
Core Subject : Science,
Computer Science & IT Energy Materials Science & Nanotechnology Physics
Computational and Experimental Research in Materials and Renewable Energy (CERiMRE) journal receives scientific articles of experimental and/or computational research that using many tools and methods as computational methods (Micromagnetic simulation, DFT Density Functional Theory, MD molecular dynamics, CFD computational fluid dynamics, MC Monte Carlo, FEM finite element method, transport neutron equation, etc) and standard experimental tools and analysis (FTIR, XRD, EDAX, bending test, etc) to develop potential applications of new materials and renewable energy sources. The materials and renewable energy under investigation may show: Prediction of material properties for new potential applications as electronics materials, photonics materials, magnetic materials, spintronics materials, optoelectronics materials, nuclear materials, thermoelectric materials, etc. Exploration of new design of renewable energy resources as in nuclear power plants, solar cell, fuel cells, biomass, thermoelectric generators, nuclear batteries, wind, wave, geothermal, etc.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 55 Documents
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Effect of Fructose and Butyric Acid Addition during Electricity Production in Single Chamber Microbial Fuel Cell Tri Mulyono; Zulfikar Zulfikar; Misto Misto; Wulan Islamintari
Computational And Experimental Research In Materials And Renewable Energy Vol 6 No 1 (2023): May
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v6i1.38255

Abstract

The substrate is an important factor for efficient electricity production in Microbial Fuel Cell systems. The substrate is an organic compound that promotes the growth of active microbes. The goal of this study was to investigate the effect of substrate type and concentration on the bioelectricity produced by a single-chamber MFC. Fructose and butyric acid were used as substrates and carbon felt used as an electrode. Types and variations in substrate concentration were applied to the soil media used in the MFC. After 3 weeks of incubation, the optimum power density value achieved by MFC with 90 g/L fructose substrate was 20.5 mW/m2. Whereas, MFC treated with 800 mg/L butyric acid produced a maximum power density of 19.7 mW/m2.Keywords: Substrate, Fructose, Butyric acid, Power density, Microbial Fuel Cell.
Modeling, Simulation and Extraction of Model Parameters of Dye-Sensitized Solar Cells (DSSCs) using Different Single-Diode Models Jamu Benson Yerima; Dunama William; Alkali Babangida; Sabastine Chinedu Ezike
Computational And Experimental Research In Materials And Renewable Energy Vol 6 No 1 (2023): May
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v6i1.33762

Abstract

Modeling, simulation and extraction of model parameters of four DSSCs was carried out using four different models. The results show that model parameters depend on of the types of models and dyes (or DSSCs). Also, the fewer the number of model parameters the lesser the computation efforts and knowledge about the internal features of the photovoltaic system and vice versa. In addition, the photocurrent Iph of a DSSC is constant for all models. Furthermore, the diode reverse saturation current Io is inversely proportional to the absolute values of the series resistance Rs and shunt resistance Rsh. Moreover, the modified diode ideality factor depends on the number of model parameters and nature of dye/DSSC. However, models with higher number of model parameters (4 and 5) involving resistances manifest parameter irregularity. Nevertheless, the negative sign or complexity of the model parameters does not render them undesirable elements for researchers to use them in their application. Thus, the overall result shows that all the models used produced good I-V curve fit for all the solar cells studied irrespective of the presence of parameter irregularity.Keywords: Modeling, Simulation, Model parameter, DSSCs, Single diode model, Parameter irregularity.
Overview and Comparison of Physical and Chemical Methods to Produce Cu-Ag Nanoparticles Inzamam Khalid
Computational And Experimental Research In Materials And Renewable Energy Vol 6 No 1 (2023): May
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v6i1.38858

Abstract

The present article deals with the overview of methods to produce Ag-Cu nanoparticles. Different chemical and physical procedures for the preparation of Ag-Cu nanoparticles are presented. A simple chemical reduction method is used to synthesise the colloidal mixture of bimetallic Ag-Cu nanoparticles. The Ag-Cu nanoparticles can be further characterised by powder X-ray diffraction (XRD), transmission electron microscopy (TEM), and UV–spectra. In physical techniques for the production of nanoparticles, laser ablation is used to produce Ag-Cu nanoparticles in alloy form. The analytical study can be done using characterisation techniques like SEM, HRTEM, SERS, and UV-visible spectroscopy.Keywords: Ag-Cu nanoparticles, XRD, Physical methods, Chemical methods, TEM, SEM.
Comparison of Melted Corium Relocation during Severe Accident of High Temperature Reactor using Moving Particle Semi-Implicit Method Muhamad Irfan; Ismail Humolungo; Asril Pramutadi Andi Mustari; Sidik Permana
Computational And Experimental Research In Materials And Renewable Energy Vol 6 No 1 (2023): May
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v6i1.39363

Abstract

System failure in nuclear reactors can cause degradation of a reactor core, allowing melting and relocation of the corium to the lower plenum in the nuclear reactor system. In this study, a severe accident simulation was carried out using the Moving Particle Semi-Implicit (MPS) method. In this method, we model the relocation of molten corium on the reactor core (support plate) to the lower plenum for several conditions with variations: corium material, lower plenum conditions, temperature, viscosity, and density. Those treatments were carried out in order to be able to compare and analyze the characteristics of the corium melt by reviewing the velocity profiles. The formation of a corium pool and debris bed can result in significant temperature differences and high heat flux against the walls of the reactor vessel, causing a decrease in the integrity of the reactor vessel and reactor failure.Keywords: Corium, Uranium Dioxide (UO2), Zirconium Dioxide (ZrO2), Fluid Relocation, Moving Particle Semi-Implicit (MPS).
Molecular Docking Study: Identification of Potential Inhibitors in Lavandula Angustifolia Essential Oil Against the Main Protease of Sars-Cov-2 Samakhatus Sahiroh; Wahyu Sulisti; Gagus Ketut Sunnardianto; Topan Setiadipura; Iklimatul Kharomah
Computational And Experimental Research In Materials And Renewable Energy Vol 6 No 1 (2023): May
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v6i1.43190

Abstract

SARS-CoV-2, also known as, Covid-19 is an almost globally endemic disease that has infected hundreds of millions of people and caused ongoing deaths. Researchers are still trying to search for effective drugs against Covid-19. Currently, with the development of science and technology, the process of drug discovery through simulated environments is becoming increasingly accurate and yielding rapid results. The protease crystal structure of Covid-19 plays a crucial role in viral replication and represents promising primary targets for antiviral drug discovery and therapy. Lavender and N3 compound ligands were used as test ligands. A total of 9 lavender ligand compounds were subjected to testing using the molecular docking method. Molecular docking aims to achieve the optimal conformation of both the protein and ligand, as well as the relative orientation between them. The analysis conducted during molecular docking includes the determination of the inhibition constant and the study of interactions between the protein and ligand.Keywords: Covid-19, docking, N3, ligand

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