Aims and scope

Journal of Engineering is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in several areas of engineering. The subject areas covered by the journal are:

Chemical Engineering
Civil Engineering
Computer Engineering
Electrical Engineering
Industrial Engineering
Mechanical Engineering

Special Issue on Innovations in Compressible Multiphase Flows: Modeling, Simulation, and Applications
截稿日期: 2026-03-24

Description

Compressible multiphase flows are of significant importance in various engineering and scientific fields, such as aerospace, energy, environmental science, and industrial processes. These complex flows involve interactions between different phases (e.g., gas-liquid, gas-solid) under compressible conditions, presenting unique challenges in modeling, simulation, and experimental investigation. The accurate prediction and understanding of compressible multiphase flows are crucial for optimizing performance, enhancing safety, and reducing environmental impacts in numerous applications, such as rocket propulsion, gas-liquid reactors, and atmospheric phenomena. This special issue aims to provide a comprehensive platform for researchers worldwide to present their latest innovations, advancements, and breakthroughs in the modeling, simulation, and applications of compressible multiphase flows. This special issue will not only highlight the state-of-the-art research but also identify emerging trends and future directions, making it a valuable resource for both academic and industrial communities

Potential topics include but are not limited to the following:

Advanced numerical modeling techniques for compressible multiphase flows
• Experimental studies and validation of compressible multiphase flow
• Applications of compressible multiphase flows in aerospace engineering
• Shock wave interactions with multiphase media
• Droplet and bubble dynamics in compressible environments
• Computational fluid dynamics (CFD) simulations of compressible multiphase flows
• Innovative experimental methods for studying compressible multiphase flows
• Industrial applications of compressible multiphase flow technologies
• Environmental impacts and mitigation strategies for compressible multiphase flows
• Data-driven approaches for analyzing compressible multiphase flow phenomena

Special Issue on AI Innovations in Engineering and Smart Manufacturing
截稿日期: 2026-07-30

Description

Artificial intelligence (AI) is reshaping engineering and advanced manufacturing, powering intelligent, interconnected production systems that define Industry 4.0. From machine learning enhancing design processes to cyber-physical systems enabling real-time adaptability, AI addresses critical challenges such as efficiency, safety, and sustainability with remarkable precision. This special issue of the Journal of Engineering invites submissions to investigate how AI is revolutionizing engineering applications and smart manufacturing, driving innovation across diverse industrial sectors.

This special issue aims to gather cutting-edge research and comprehensive reviews on the integration of AI in engineering and advanced manufacturing. By fostering interdisciplinary collaboration among engineers, AI specialists, and manufacturing experts, it seeks to illustrate how AI improves system design, optimizes production processes, and tackles industrial challenges like scalability and environmental impact, advancing the development of smart manufacturing technologies.

Significance of the Collection-

This special issue will serve as an essential resource for engineers, researchers, and industry leaders by presenting high-quality research on AI’s transformative role in engineering and manufacturing. It will enhance understanding of sustainable and innovative engineering practices, supporting initiatives like India’s Atmanirbhar Bharat campaign, and contribute to global competitiveness in smart manufacturing technologies.

Potential topics include but are not limited to the following:

AI for Engineering Process Optimization: Machine learning and deep learning for real-time control, parameter optimization, and quality assurance in engineering processes (e.g., machining, assembly).
Predictive Maintenance in Engineering Systems: AI-driven analytics for monitoring equipment health, detecting faults, and estimating the lifespan of industrial machinery.
AI in Manufacturing Design: Applications of AI in optimizing product designs, defect prevention, and process simulation for advanced manufacturing techniques.
Human-Machine Integration: AI-enabled systems for safe and efficient collaboration between humans and robots in engineering and manufacturing environments.
Sustainable Engineering Solutions: AI strategies for reducing resource consumption, optimizing energy efficiency, and implementing digital twins for real-time system analysis.

Special Issue on Micro/nanofluidics for biomedical applications
截稿日期: 2026-12-01

Description

Micro/nanofluidics, the science of manipulating fluids and bioparticles within micro/nanoscale confinements, has ushered in a paradigm shift in biomedical research and clinical diagnostics. This technology presents compelling advantages over conventional methods, including minimal sample consumption, high operational efficiency, compact device architecture, integrated functionality, and exceptional resolution in manipulation. Its application spectrum spans efficient sample preparation, single-cell analysis, high-throughput cytometry, organ-on-a-chip systems, and advanced biosensing. These advancements have profoundly enhanced modern biomedical practices. A notable example is the isolation and detection of rare circulating tumor cells (CTCs) and circulating tumor DNA from blood, which provides a non-invasive "liquid biopsy" for early cancer detection, personalized therapy, and treatment monitoring. Consequently, numerous point-of-care testing (POCT) devices have been developed, with several achieving successful commercialization.

Journal of Nanotechnology is calling for submissions of original studies that describe cutting-edge technical innovations and developments in the field of micro/nanofluidics, with a dedicated focus on its biomedical applications. Reviews which are well summarized and of far-sighted prospects are also encouraged.

Potential topics include but are not limited to the following:

Fundamentals of micro/nanofluidics;
Emerging technologies for micro/nanofluidics
Fabrication methods for micro/nanofluidics
Micro/nanofluidics-based point-of-care testing (POCT) devices
Application of micro/nanofluidics in biomedical applications