Article Per Year (5 Year)
p-Index From 2021 - 2026
2.779
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Dasar Jurnal Sains Materi Indonesia BERKALA SAINSTEK Abdimas JURNAL FISIKA Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran Saintifika UNEJ e-Proceeding Science and Technology Indonesia Jurnal Penelitian Pendidikan IPA (JPPIPA) Spektra: Jurnal Fisika dan Aplikasinya Jurnal Ilmu Fisika Indonesian Physical Review Jurnal Teori dan Aplikasi Fisika Jurnal Jaring SainTek Computational and Experimental Research in Materials and Renewable Energy (CERiMRE) Journal of Energy, Material, and Instrumentation Technology Makara Journal of Technology Newton-Maxwell Journal of Physics SAINTIFIKA InSTEM Jurnal Sains Materi Indonesia Journal of Electronics and Instrumentation
Artoto Arkundato
Jurusan Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Jember
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

Published : 36 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Energy, Material, and Instrumentation Technology

 1 
Analisis Perbandingan Desain Geometri Pin Bahan Bakar Heksagonal dan Persegi GFR Menggunakan Bahan Bakar Uranium Karbida Maulana, Muhammad Rizqi; Syarifah, Ratna Dewi; Prasetya, Fajri; Mabruri, Ahmad Muzaki; Arkundato, Artoto; Rohman, Lutfi
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 3 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i3.252

Abstract

Comparative Analysis of Hexagonal and Square GFR Fuel Pin Geometry Designs with Uranium Carbide Fuel has been carried out. Nuclear reactors from Generation I to IV have developed significantly, with Gas-cooled Fast Reactors (GFR) being a potential candidate for operation by 2030. This study focuses on a GFR reactor utilizing uranium carbide (UC) fuel with a low input power of 300 MWth. The reactor core adopts a cylindrical pancake geometry with 100 cm height and 240 cm diameter dimensions. The objective is to compare the optimal design between hexagonal and square pin cell geometries for GFR-type fast reactors. The study employs the SRAC 2006 software with the JENDL 4.0 database. The research involves homogenous core configuration calculations, heterogeneous core configuration calculations, and variations in fuel fraction to determine optimal data for hexagonal and square pin cell configurations. Results indicate that heterogeneous fuel configurations require fuel fractions of 51% for hexagonal pins and 59% for square pins, with comparable maximum power performance at End of Life (EOL) and Beginning of Life (BOL). It suggests that hexagonal pins are more efficient, requiring less fuel material to maintain reactor criticality over a 20-period burn-up.
Hybrid DFT-ML-MD Approach for Derivation of Lennard-Jones Interatomic Potential Parameters of Al Arkundato, Artoto; Widiasih; Ratnadewi, Anak Agung Istri Ratnadewi; Syah, Khalif Ardian; Yulianti, Yanti
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 2 (2025): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v6i2.306

Abstract

Atomistic simulation based on computational physics of methods is used to develop accurate interatomic potentials based on DFT (density functional theory) data. The accuracy of predicting the physical properties of a material is highly dependent on the quality of the interatomic potential used. The purpose of this study is to determine the Lennard-Jones potential parameters of Al metal (epsilon and sigma) from fitting the DFT simulation output data. The use of a “robust” fitting method to reduce the influence of outliers on the potential results is very important and therefore a machine learning method is used to help find the right potential parameters. The method used is a hybrid method using DFT to generate training data, using ML (machine learning) to fit DFT data to the Lennard-Jones (LJ) potential model, and using the MD (molecular dynamics) method to validate the LJ potential parameters. Python-based programming is applied to facilitate how the three methods can be connected. The results of this study are that Al metal has an epsilon value = 0.5000 eV and sigma Al = 3.2072 Å, with a regression coefficient R2 = 0.9441 so that it can be concluded that this study can be said to be quite good and the hybrid method can be further developed to obtain the LJ potential parameter values of various other materials, especially metals.
Co-Authors Ahmad Muzaki Mabruri Amiruddin Supu Anggara Budi Susial Arry Y. Nurhayati Ayu Berlianti, Nindha Ayudia, Siti Aisyah Cahyono, Bowo Eko Edy Wahono Edy Wahono Elva Nurul F Endhah Purwandari Erfan Handoko Ernik Dwi S Fanta, Ryo Fauzia, Vivi Gaguk Jatisukamto Habibah, Putri Sifa Hadi Nasbey Hadi Paramu Haris Suhendar Heru Baskoro Hidayat, Umar Sahiful Iklimatul Karomah Illavi Praseti Pebrian Imam Basori Imanullah, Muhammad Abdul Bashar Indarta Kuncoro Aji Irvan Siswanto Iwan Sugihartono Karomah, Iklimatul Lara Permata Sari, Lara Permata Lutfi Rohman Luthfi Rohman Luthfi Rohman Mabruri, Ahmad Muzaki Maulana, Bima Wahyu Maulana, Muhammad Rizqi Misto Misto Misto Misto Misto Misto Misto Misto, M. Moh. Hasan Mohammad Ali Shafii Nabil Nabhan MH Natasya Frysillia Wardani Nikodemus Umbu Janga Hauwali Nur Inna Alfianinda Nurfina Yudasari Prasetya, Fajri Priyanto, Frendi Wahyudi Puguh Hiskiawan Rahmat Setiawan Mohar Ratnadewi, Anak Agung Istri Ratnadewi Ruliyanti Ruliyanti Sahiroh, Samakhatus Sa’adah, Umi Setyawan Bani, Marsi Devid Sukmawati, Nissa Sulisti, Wahyu Supriyadi Supriyadi Syah, Khalif Ardian Syarifah, Ratna Dewi Tan Swee Tiam Tjahjo Nugroho, Agung Tri Mulyono Trianti, Nuri Umi Sa'adah Wenny Maulina Wenny Maulina, Wenny Wibawa Wibawa, Wibawa Widiasih Yanti Yulianti Yudi Aris Sulistiyo, Yudi Aris Zein Hanifah