Journals

  • Journal of Engineering and Future Technologies

    Journal of Engineering and Future Technologies (JEFT) is an international, peer-reviewed, multidisciplinary journal dedicated to publishing high-quality research at the intersection of engineering, emerging technologies, and future-oriented innovation.

    The journal provides a platform for researchers, academics, engineers, technology developers, and industry professionals to present original research, critical reviews, innovative methodologies, and practical solutions addressing current and future engineering challenges.

    Aims and Scope

    JEFT aims to advance interdisciplinary engineering research and emerging technologies that contribute to the development of future-ready solutions for industry and society.

    The journal welcomes research across engineering disciplines, particularly studies involving advanced materials, artificial intelligence, robotics, automation, smart manufacturing, energy technologies, digital systems, sustainable engineering, and other emerging technologies.

    JEFT particularly encourages interdisciplinary research that connects different engineering fields and translates scientific advances into innovative technological applications.

    Key areas of focus include, but are not limited to:

    Mechanical, Manufacturing, Industrial Engineering, Materials, Metallurgical, Chemical Engineering, Civil, Water and Environmental Engineering, Electrical, Electronics, Communication Engineering,

    Computer Science, AI, Digital Engineering, Robotics, Automation, Intelligent Systems, Energy, Sustainable Technologies, Biomedical, Aerospace, Emerging Technologies, Interdisciplinary Engineering and Future Technologies.

  • Journal of Artificial Intelligence Systems

    Journal of Artificial Intelligence Systems 

    Journal of Artificial Intelligence Systems is a high-impact, peer-reviewed journal focused on the intersection of computational intelligence and physical implementation. While many journals focus solely on abstract algorithms, JAIS is dedicated to the systems—the architectural, industrial, and practical frameworks that allow AI to function in the real world.

    Aims and Scope

    The journal provides a premier platform for researchers and practitioners to explore the full lifecycle of intelligent systems. We emphasize the transition of AI from "code" to "complex system," focusing on reliability, scalability, and hardware integration.

    Core research areas include:

    • Industrial AI & Automation: Deep learning and neural networks applied to manufacturing, predictive maintenance, and supply chain optimization.

    • Autonomous & Embedded Systems: Edge computing, robotics, and the integration of AI into physical hardware and sensor networks.

    • Intelligent Logic & Decision Frameworks: Advances in SWOT analysis automation, marketing mix optimization, and strategic business intelligence.

    • Data Systems & Analytics: Systematic analysis of industrial data, sector distributions, and unit price growth trends using machine learning.

    • Human-AI Interaction: The ethics, safety, and interface design of systems that collaborate with human operators.

  • Journal of Advanced Fabrication and Manufacturing

    The Journal of Advanced Fabrication and Manufacturing (JAFM) is an international, peer-reviewed journal dedicated to advancing the science, engineering, technologies, and applications of next-generation fabrication and manufacturing. The journal provides an interdisciplinary platform connecting materials science, welding and joining, additive manufacturing, hybrid fabrication, computational engineering, intelligent process control, and advanced production systems.

    As manufacturing evolves toward increasingly integrated, data-driven, and performance-oriented approaches, JAFM aims to connect fundamental understanding of materials and processes with innovative fabrication technologies and industrial implementation. The journal emphasizes the relationships among material composition, processing conditions, microstructural evolution, defect formation, component performance, manufacturing reliability, and lifecycle sustainability.

    JAFM welcomes original research, critical reviews, technological perspectives, methodological advances, and industrially relevant investigations that contribute meaningful scientific or engineering advances. Particular attention is given to research that integrates experimental validation, computational modeling, materials characterization, intelligent monitoring, process optimization, and manufacturing qualification.

    The journal seeks to serve researchers, engineers, academics, and industry professionals working to develop reliable, efficient, sustainable, and intelligent fabrication technologies for the next generation of engineered products and structures.

    Aims and Scope

    JAFM aims to establish an interdisciplinary publishing platform for emerging fabrication technologies and advanced manufacturing systems. The journal encourages research that bridges materials science, manufacturing processes, computational methods, automation, and engineering performance.

    The journal publishes contributions in, but not limited to, the following areas:

    1. Additive Manufacturing and Advanced Deposition

    • Metal, polymer, ceramic, and composite additive manufacturing, Wire-arc additive manufacturing (WAAM), Laser and electron-beam additive manufacturing, Directed energy deposition and powder-bed fusion, Binder-based and emerging additive manufacturing processes, Feedstock development, deposition strategies, and process optimization, Multimaterial, functionally graded, and large-scale additive manufacturing

    2. Welding, Joining, and Advanced Connection Technologies

    • Arc, laser, electron-beam, resistance, and solid-state welding, Friction-stir welding and friction-based joining, Brazing, soldering, diffusion bonding, and hybrid joining, Dissimilar-material joining and interface engineering, Welding metallurgy, solidification, and phase transformations, Residual stresses, distortion, cracking, and defect mitigation, Welding automation, mechanization, and intelligent welding systems

    3. Hybrid and Integrated Fabrication

    • Additive–subtractive manufacturing, Welding-assisted deposition and repair

    • Hybrid additive manufacturing and joining, Multi-process and multimaterial fabrication, Integrated manufacturing workflows, In-situ machining, surface treatment, and finishing, Process integration for complex and large-scale components

    4. Materials Science and Process–Structure–Property Relationships

    • Advanced alloys, composites, ceramics, and engineered materials, Materials selection and feedstock design, Microstructure evolution and phase transformation, Heat transfer, fluid flow, and solidification phenomena, Mechanical properties, fatigue, fracture, and damage tolerance, Defect formation, evolution, detection, and prevention, Relationships among processing, structure, properties, and performance

    5. Computational Modeling and Digital Engineering

    • Finite-element and computational fluid dynamics modeling, Thermomechanical simulation and residual-stress prediction, Multiscale and multiphysics modeling, Computational materials science, Process–structure–property–performance modeling, Digital twins and virtual manufacturing, Model validation, uncertainty quantification, and predictive engineering

    6. Artificial Intelligence and Intelligent Manufacturing

    • Artificial intelligence and machine learning for fabrication, Physics-informed machine learning, Real-time sensing and process monitoring, Closed-loop process control and autonomous fabrication, Robotics and intelligent manufacturing systems, Data-driven defect prediction and quality optimization, AI-assisted materials discovery and process development

    7. Inspection, Qualification, and Manufacturing Reliability

    • Nondestructive testing and evaluation, In-situ and post-process inspection, Microstructural and mechanical characterization, Defect assessment and failure analysis, Process qualification and manufacturing certification, Structural integrity and component reliability, Standards, reproducibility, and quality assurance

    8. Repair, Remanufacturing, and Lifecycle Engineering

    • Additive repair and restoration of engineering components, Surface engineering and protective coatings, Remanufacturing and lifecycle extension, Fatigue, fracture, wear, corrosion, and degradation, Component performance and reliability assessment, Repair qualification and lifecycle cost analysis, Circular manufacturing and resource efficiency

    9. Sustainable and Industrial Manufacturing

    • Energy-efficient fabrication processes, Material utilization and waste reduction, Lifecycle assessment and environmental performance, Manufacturing productivity and cost modeling, Process scale-up and industrial implementation, Manufacturing systems for critical infrastructure, Applications in aerospace, shipbuilding, energy, transportation, biomedical engineering, and other industrial sectors

    Article Types

    JAFM welcomes the following manuscript categories:

    Research Articles

    Original investigations presenting significant scientific findings, methodological advances, experimental results, computational developments, or validated engineering innovations.

    Review Articles

    Critical and comprehensive assessments of established and emerging research areas. Reviews should synthesize current knowledge, evaluate competing approaches, identify unresolved challenges, and propose meaningful directions for future research.

    Rapid Communications

    Concise reports of timely and significant advances that warrant rapid dissemination. Submissions must clearly demonstrate their novelty and importance.

    Perspectives

    Focused discussions of emerging technologies, evolving research directions, and important scientific or engineering challenges, providing informed analysis and forward-looking insights.

    Methods and Protocols

    Detailed descriptions of innovative experimental methods, computational approaches, characterization techniques, and reproducible manufacturing procedures.

    Industrial and Technology Reports

    Technically rigorous investigations of manufacturing implementation, process qualification, scale-up, reliability, and industrial performance, supported by sufficient evidence and analysis.

    All submissions will be evaluated according to their scientific quality, originality, technical rigor, relevance to the journal's scope, and compliance with the journal's publication ethics and peer-review policies.

  • Journal of Semiconductor Integration

    About the Journal

    The Journal of Semiconductor Integration (JSI) is an international, peer-reviewed journal publishing original research and scholarly contributions in semiconductor materials, devices, fabrication, integration, and advanced packaging. The journal welcomes experimental, theoretical, computational, and applied research that advances semiconductor technology and electronic systems.

    Aims and Scope

    JSI covers research in:

    • Semiconductor Materials and Processing: Silicon, compound semiconductors, thin films, epitaxy, and fabrication.
    • Semiconductor Devices: Transistors, power devices, memory, sensors, and optoelectronics.
    • Advanced Integration and Packaging: Chiplets, 2.5D/3D integration, heterogeneous integration, and system-in-package technologies.
    • Bonding and Interconnects: Hybrid bonding, wafer bonding, microjoining, and interface engineering.
    • Electronic and Photonic Systems: Silicon photonics, integrated circuits, and emerging computing technologies.
    • Reliability and Thermal Management: Heat dissipation, failure analysis, and interconnect reliability.
    • Modeling and Emerging Technologies: Simulation, artificial intelligence in manufacturing, and next-generation semiconductor architectures.

    Article Types

    JSI accepts original research articles, review articles, short communications, technical notes, perspectives, and scholarly correspondence.

  • Journal of Future Defense Technologies

    About the Journal

    The Journal of Future Defense Technologies (JFDT) is an international, multidisciplinary, peer-reviewed scientific journal dedicated to advancing research, engineering innovation, and emerging technologies that will shape the future of defense.

    As defense technologies continue to evolve through advances in science, engineering, artificial intelligence, advanced materials, automation, and intelligent systems, the need for an interdisciplinary platform for scientific exchange and technological innovation has become increasingly important.

    JFDT aims to provide such a platform by bringing together researchers, scientists, engineers, academicians, and technology innovators from diverse disciplines to communicate pioneering discoveries and engineering developments.

    The journal encompasses a broad spectrum of research areas, including advanced defense materials, intelligent systems, autonomous technologies, aerospace and naval engineering, robotics, advanced manufacturing, protective engineering, computational mechanics, sensing technologies, energy systems, and emerging defense applications.

    With a strong foundation in science and engineering, JFDT encourages research that bridges fundamental scientific understanding with practical technological development. Particular emphasis is placed on advanced materials, protective systems, impact and blast engineering, damage mechanics, structural integrity, resilience, and survivability.

    JFDT seeks to become an international forum for high-quality scientific contributions that advance knowledge, stimulate interdisciplinary collaboration, and support the development of next-generation defense technologies.

    Aims and Scope

    The Journal of Future Defense Technologies (JFDT) aims to advance scientific knowledge, engineering capabilities, and technological innovation across the evolving defense technology landscape.

    The journal encourages interdisciplinary research that integrates materials science, mechanical engineering, aerospace engineering, electronics, computer science, robotics, artificial intelligence, manufacturing, and other relevant scientific and engineering disciplines.

    JFDT welcomes fundamental investigations, computational studies, experimental research, technological developments, and engineering applications that contribute to the advancement of defense-related technologies.

    Research Areas

    1. Advanced Defense Materials and Manufacturing

    • High-performance metallic alloys, ceramics, polymers, and composites

    • Advanced and multifunctional materials

    • Additive manufacturing and metal deposition technologies

    • Advanced welding, joining, repair, and remanufacturing

    • Surface engineering, coatings, and corrosion protection

    • Materials characterization and performance evaluation

    • Manufacturing processes for extreme environments

    2. Protective Engineering, Damage Mechanics and Survivability

    • Protective materials and structural systems

    • Impact and dynamic response mechanics

    • Blast and shock-wave engineering

    • Ballistic protection and material response

    • Fracture mechanics and failure analysis

    • Structural integrity and damage tolerance

    • Fatigue, degradation, and failure prediction

    • Resilience and survivability engineering

    3. Artificial Intelligence and Intelligent Defense Technologies

    • Artificial intelligence and machine learning

    • Deep learning and intelligent decision-support systems

    • Computer vision and image processing

    • Predictive modeling and intelligent monitoring

    • Digital twins and data-driven engineering

    • Physics-informed machine learning

    • Intelligent inspection and predictive maintenance

    4. Robotics and Autonomous Systems

    • Autonomous robotic platforms

    • Unmanned aerial, ground, and underwater systems

    • Intelligent navigation and control

    • Advanced mechatronics and automation

    • Human-machine interaction

    • Multi-agent systems and distributed autonomy

    5. Aerospace and Aviation Technologies

    • Advanced aerospace structures and materials

    • Aircraft and spacecraft engineering

    • Propulsion and thermal management

    • Aerodynamics and flight technologies

    • Hypersonic and high-speed aerospace engineering

    • Structural health monitoring

    • Aerospace manufacturing and reliability

    6. Naval, Maritime and Underwater Technologies

    • Naval architecture and marine engineering

    • Advanced ship structures and materials

    • Marine propulsion and energy systems

    • Underwater robotics and autonomous marine systems

    • Corrosion protection and structural integrity

    • Subsea engineering and monitoring technologies

    7. Sensors, Electronics and Intelligent Systems

    • Advanced sensors and detection technologies

    • Radar and remote sensing

    • Signal processing and sensor fusion

    • Embedded systems and intelligent electronics

    • Communication and information technologies

    • Electronic systems reliability and protection

    8. Energy and Power Technologies

    • Advanced energy storage systems

    • Batteries and power electronics

    • Thermal management and heat transfer

    • Advanced power generation and conversion

    • Energy efficiency and resilience

    • Materials for extreme operating environments

    9. Computational Engineering and Simulation

    • Computational mechanics and numerical modeling

    • Finite element analysis and multiphysics simulation

    • Computational fluid dynamics

    • Structural optimization and reliability analysis

    • Digital engineering and virtual prototyping

    • High-performance scientific computing

    10. Emerging and Interdisciplinary Defense Technologies

    • Next-generation defense technologies

    • Quantum technologies and advanced sensing

    • Cyber-physical systems and intelligent architectures

    • Advanced materials integration

    • Emerging aerospace and maritime technologies

    • Human protection and performance technologies

    • Interdisciplinary scientific and engineering innovations

    JFDT particularly encourages original research that advances fundamental scientific understanding while demonstrating relevance to practical engineering and technological applications.

    All submissions must comply with applicable laws, research ethics, export-control requirements, and the journal's policies concerning sensitive and dual-use information.

    Peer Review Policy

    All manuscripts submitted to JFDT will undergo an initial editorial assessment to evaluate their relevance, originality, scientific quality, and compliance with journal requirements.

    Manuscripts considered suitable will be assigned to independent subject experts for peer review.

    The journal will adopt a transparent and consistent peer-review process designed to evaluate scientific validity, technical quality, originality, and research significance.

    Publication Ethics

    JFDT is committed to maintaining high standards of publication ethics and research integrity.

    The journal expects authors, reviewers, and editors to adhere to principles of originality, transparency, accountability, confidentiality, and responsible research conduct.

    The journal will establish policies addressing plagiarism, duplicate publication, conflicts of interest, authorship, corrections, retractions, research ethics, and the responsible use of artificial intelligence in manuscript preparation.

    Research Security and Responsible Publication

    Research involving defense-related technologies must comply with applicable national and international regulations.

    The journal does not accept classified information or manuscripts containing technical information that cannot legally or ethically be disclosed. Submissions involving controlled or sensitive dual-use technologies will be evaluated under the journal's responsible publication and compliance policies.

    Open Access and Copyright

    The journal's access model, copyright arrangements, author licensing options, and publication charges will be specified in its formal publication policies before manuscript submissions open.

    Publisher

    Journal of Future Defense Technologies is published by EUSIVOR Press, an independent scientific publishing initiative committed to advancing international research, interdisciplinary engineering, and technological innovation.

  • Journal of AI-Enabled Breakthroughs

    Artificial Intelligence is redefining the boundaries of scientific exploration, technological innovation and human achievement. Its potential extends far beyond automating existing processes or improving established methodologies. AI is increasingly enabling researchers to explore unexplored possibilities, uncover previously unknown relationships, develop original inventions and address challenges that were once considered difficult, impractical or beyond conventional capabilities.

    The Journal of AI-Enabled Breakthroughs (JAIEB) is an international, multidisciplinary scientific journal dedicated to publishing original research, transformative discoveries, innovative inventions and technological breakthroughs enabled by artificial intelligence.

    The journal provides a platform for researchers, scientists, engineers, technologists and innovators who are using AI to create new knowledge, develop unprecedented capabilities and translate ambitious ideas into meaningful scientific and practical achievements.

    JAIEB welcomes research in which artificial intelligence serves as an enabling force for discovery, invention, experimentation, design, development and problem-solving. Contributions may involve autonomous AI systems, human–AI collaboration, generative intelligence, intelligent experimentation, computational discovery or other emerging approaches that demonstrate significant advances beyond existing capabilities.

    The journal seeks to move beyond conventional discussions of what AI can do and explore what becomes possible when human intelligence, scientific knowledge and artificial intelligence work together.

    Our philosophy is to recognize research not merely for its use of artificial intelligence, but for the new possibilities, discoveries and achievements it enables.

    Aims and Scope

    The journal welcomes original contributions across scientific, engineering, technological and interdisciplinary research domains.

    Research Areas

     

    1. AI-Enabled Scientific Discovery

    AI-generated scientific hypotheses, discovery of unknown relationships, computational exploration, autonomous experimentation and validation of new scientific knowledge.

     

    2. AI-Driven Inventions and Innovation

    AI-generated inventions, intelligent product development, functional prototypes, generative design, reverse engineering and novel technological solutions.

    3. Autonomous AI and Intelligent Agents

    Agentic AI, multi-agent collaboration, autonomous research systems, self-directed experimentation, intelligent decision-making and autonomous problem-solving.

    4. AI-Enabled Engineering and Manufacturing

    Intelligent manufacturing, adaptive automation, autonomous robotics, advanced manufacturing, additive manufacturing, process innovation and intelligent infrastructure.

    5. AI in Materials and Chemical Sciences

    Materials discovery, alloy and composite development, molecular design, chemical discovery, materials characterization and intelligent materials processing.

    6. AI in Medicine and Life Sciences

    Biomedical innovation, drug discovery, intelligent diagnostics, biotechnology, computational biology and AI-enabled healthcare technologies.

    7. AI in Mathematics and Fundamental Sciences

    Mathematical conjectures and proofs, computational physics, theoretical exploration, scientific modelling and AI-assisted fundamental research.

    8. AI for Energy, Environment and Sustainability

    Energy innovation, renewable technologies, environmental discovery, climate solutions, intelligent resource management and sustainable engineering.

    9. AI in Aerospace, Space and Advanced Technologies

    Autonomous aerospace systems, intelligent navigation, space exploration, advanced materials and AI-enabled mission technologies.

    10. Human–AI Collaborative Innovation

    Human–AI co-creation, collaborative intelligence, AI-assisted invention, interdisciplinary innovation and new models of scientific creativity.

    The journal also welcomes exceptional contributions from emerging disciplines and interdisciplinary areas that demonstrate meaningful AI-enabled advances.

    What We Particularly Seek

    An important distinction should be established between ordinary AI applications and genuine AI-enabled breakthroughs.

    JAIEB particularly encourages research that:

    • Achieves something that was previously technically infeasible or impractical.

    • Introduces an original invention, device, system or technology.

    • Discovers new scientific knowledge or previously unidentified relationships.

    • Enables autonomous experimentation or scientific exploration.

    • Solves longstanding problems through innovative AI-enabled approaches.

    • Converts AI-generated concepts into functional, testable prototypes.

    • Demonstrates capabilities beyond existing technological approaches.

    • Establishes new directions for interdisciplinary scientific research.

    The journal does not require every submission to demonstrate something literally impossible before. Significant, verifiable advances that expand existing capabilities are also welcome.

    Impossible to Possible by AI: The Breakthrough Demonstration Series

    The Impossible to Possible by AI series is a distinctive editorial initiative of the Journal of AI-Enabled Breakthroughs, dedicated to showcasing extraordinary achievements made possible through artificial intelligence.

    The series seeks contributions that demonstrate how AI can extend existing scientific, engineering and technological capabilities, overcome longstanding limitations and enable outcomes that were previously considered impractical, prohibitively complex or unattainable using conventional approaches.

    We particularly welcome:

    • AI-enabled inventions and working prototypes.

    • Autonomous scientific discoveries and experimental demonstrations.

    • Novel engineering solutions to challenging problems.

    • AI-generated designs translated into functional technologies.

    • Breakthrough materials, devices and intelligent systems.

    • Unexpected scientific findings emerging from AI-assisted exploration.

    • Human–AI collaborative achievements with demonstrable impact.

    Each contribution should clearly establish the original challenge, the role of AI, the resulting achievement and the evidence supporting the claimed breakthrough.

    Our objective is to showcase research that does not merely improve existing technologies, but opens new directions for scientific discovery and technological innovation.

    Editorial and Peer-Review Policy

    JAIEB is committed to maintaining high standards of scholarly quality, research integrity, originality and scientific transparency.

    All submitted manuscripts undergo an initial editorial assessment to evaluate their relevance to the journal's aims and scope, originality, scientific contribution and compliance with submission requirements.

    Manuscripts considered suitable for further consideration are evaluated through independent peer review by qualified experts in the relevant research disciplines.

    Evaluation Criteria

    Submissions are assessed according to the following criteria:

    1. Originality and Novelty: The originality and significance of the reported discovery, invention or innovation.

    2. AI Contribution: The specific contribution of artificial intelligence to achieving the reported outcome.

    3. Scientific and Technical Validity: The reliability of the methodology, computational framework, experimental approach and supporting analysis.

    4. Demonstration and Evidence: The quality of experimental, computational, analytical or practical evidence supporting the claims.

    5. Reproducibility and Transparency: The availability of sufficient methodological information to enable independent assessment and verification.

    6. Significance and Impact: The potential contribution to scientific knowledge, technological advancement or practical applications.

    Research Integrity

    JAIEB expects all authors to comply with accepted standards of responsible research and scholarly publishing.

    Authors are responsible for the accuracy, originality and integrity of their submissions. Research involving human participants, animals, sensitive data or other regulated activities must comply with applicable ethical and regulatory requirements.

    The journal does not accept fabricated, falsified, plagiarized or misleading research.

    Editorial decisions are based on scholarly merit and are independent of commercial considerations.

    Responsible and Transparent Use of Artificial Intelligence

    As a journal dedicated to AI-enabled research, JAIEB recognizes the importance of responsible, transparent and accountable use of artificial intelligence in scientific publishing.

    Authors must disclose the use of relevant AI tools and systems where they have materially contributed to research design, data generation, computational analysis, image generation, interpretation or manuscript preparation.

    Such disclosures should identify the tools or systems used and explain their contributions to the research.

    Artificial intelligence systems cannot be listed as authors. Human authors retain full responsibility for the accuracy, originality, validity and integrity of submitted work.

    AI-generated hypotheses, designs, predictions and discoveries must be appropriately evaluated and supported by evidence. AI-generated outputs alone do not constitute verified scientific discoveries.

    JAIEB encourages transparent reporting of computational workflows, relevant datasets, model configurations and validation procedures, subject to applicable privacy, confidentiality, intellectual property and safety requirements.