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INDONESIA
ASEAN Journal for Science and Engineering in Materials
Published by Yayasan Bumi Publikasi Nusantara
ISSN : 2828920X     EISSN : 28289951     DOI : -
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
The ASEAN Journal for Science and Engineering in Materials (AJSEM) promotes research in the broad field of Science and Engineering in Materials with particular respect to Indonesia, but not limited to authorship or topical coverage within the region. Contributions are expected from senior researchers, project managers, research administrators and PhD students at advanced stages of their research, representing both public organizations and private industry. Equally, the journal if intended for scholars and students, reseachers working at research organizations and government agencies, and also for enterprises undertaking applied R&D to lead innovations. The editorial contents and elements that comprise the journal include: Theoretical articles Empirical studies Practice-oriented papers Case studies Review of papers, books, and resources. As far as the criteria for evaluating and accepting submissions is concerned, a rigorous review process will be used. Submitted papers will, prior to the formal review, be screened so as to ensure their suitability and adequacy to the journal. In addition, an initial quality control will be performed, so as to ensure matters such as language, style of references and others, comply with the journal´s style. The editorial board welcomes innovative manuscripts from Science and Technology field. The scopes of this journal are Material Science and Engineering Materials relating to Agriculture Materials relating to Architecture and Civil Engineering Materials relating to Astronomy and Space Engineering Materials relating to Biology, Biological and Bio System Engineering Materials relating to Chemistry and Chemical Engineering Materials relating to Computer Science and Engineering Materials relating to Earth Science and Engineering Materials relating to Electric, Electronic, and Electrical Engineering Materials relating to Environment Science and Engineering Materials relating to Food Science and Engineering Materials relating in the Organization of Laboratories Material Science and Engineering relating to Education
Arjuna Subject : Ilmu Material (semua kategori) - Ilmu Material (Lain-Lain)
Articles 94 Documents
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Predictive Modelling of Electronic Materials: A Review of Deep Learning Techniques in Computer Engineering Rafdhi, Agis Abhi; Maulana, Hanhan; Luckyardi, Senny; Soegoto, Eddy Soeryanto; Ximmataliyev, Dostnazar; Wen, Goh Kang; Chochole, Tomáš; Zangana, Hewa Majeed
ASEAN Journal for Science and Engineering in Materials Vol 5, No 3 (2026): (ONLINE FIRST) AJSEM: Volume 5, Issue 3, December 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

This review evaluates the application of deep learning (DL) for the predictive modeling of electronic materials in computer engineering. We analyzed peer-reviewed literature across four major databases, focusing exclusively on advanced architectures like Graph Neural Networks (GNNs) and Generative models. Results indicate these models accurately predict critical properties, such as band gaps and thermal conductivity, for next-generation semiconductors, 2D materials, and memristors. These high accuracies are achieved because architectures like GNNs effectively capture complex 3D spatial interactions without requiring manual feature engineering. However, practical fabrication remains hindered by data scarcity, algorithmic opacity, and a profound "Sim-to-Real Gap". While DL accelerates predictive design, sustaining Moore's Law ultimately requires developing autonomous "Self-Driving Labs" and Large Material Models to bridge digital predictions with physical synthesis.
Multilayer Oxygen-Scavenging Biodegradable Polylactic Acid Films Reinforced with Microcrystalline Cellulose and Butylated Hydroxytoluene: Experimental Study of Structure-Property-Function Relationships Completed with Bibliometric Analysis toward Sustainable Development Goals (SDGs) Dirpan, Andi; Tahir, Mulyati M.; Hidayat, Serli Hatul; Novrain, Abel Yandi; Majumder, Soumya; Seow, Eng Keng
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): (ONLINE FIRST) AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

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Abstract

This study presents an experimental investigation of multilayer oxygen-scavenging biodegradable polylactic acid films reinforced with microcrystalline cellulose (MCC) derived from nata de coco and butylated hydroxytoluene (BHT), completed with a bibliometric analysis. Structure-property-function relationships were evaluated through morphology, mechanical performance, oxygen permeability, and biodegradability analyses. fMCC enhances matrix densification and mechanical strength while reducing oxygen permeability, although flexibility decreases. The incorporation of BHT further improves oxygen-scavenging performance. These findings support the development of advanced biodegradable packaging aligned with sustainable development goals (SDGs).
Mechanical Behavior and Optimization of Graphene-Reinforced TPU/PDMS Composites for Biomedical Applications Gheni, Emad Zuhair; Abdulmajeed, Adwaa Mohammed; Flayyih, Mujtaba A.; Njim, Emad Kadum
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): (ONLINE FIRST) AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

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Abstract

This study investigates the mechanical behavior and optimization of graphene-reinforced thermoplastic polyurethane (TPU) and polydimethylsiloxane (PDMS) composites for biomedical applications. A combined analytical, statistical, and computational approach was employed, including MATLAB modeling, regression analysis, and ANOVA. The results demonstrate that increasing PDMS content reduces elastic modulus, yield strength, and fatigue performance, while enhancing flexibility and impact resistance. The incorporation of nanographene significantly improves mechanical properties, with tensile strength exceeding 40 MPa and enhanced stiffness due to effective load transfer. Statistical analysis confirms that PDMS volume fraction is the dominant factor influencing performance. Optimal properties are achieved at 20–30% PDMS with graphene reinforcement, providing a balanced combination of strength, flexibility, and durability for biomedical applications.
ASTM F75 Alloys: A Systematic Review of Microstructural Characteristics and Manufacturing Advances from Conventional to Laser-Based Techniques with Bibliometric Analysis Al-Aloosi, Raghad Ahmed; Abbood, Wisam T.; Khalid, Enas A.; Abd Al-Sahb, Wassan S.; Al-Karkhi, Nazar Kais; Abdullah, Oday I.; Nacy, Somer; Haider, Adawiya J.; Mohammed, M. N.
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): (ONLINE FIRST) AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

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Abstract

This study provides a systematic and bibliometric review of ASTM F75 cobalt–chromium alloys, focusing on microstructure and the shift from conventional to laser-based manufacturing. Using combined analytical methods, it evaluates microstructure, mechanical properties, corrosion behavior, and biocompatibility. Results show that laser-based techniques such as LPBF and DMLS produce finer grain sizes (1–10 µm vs. 50–200 µm), leading to improved hardness (20–40%) and tensile strength (15–30%). Despite challenges like residual stress and process optimization, these methods show strong potential for high-performance and sustainable applications.

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