About ACEThe proceedings series Applied and Computational Engineering (ACE) is an international peer-reviewed open access series that publishes conference proceedings from various methodological and disciplinary perspectives concerning engineering and technology. ACE is published irregularly. The series contributes to the development of computing sectors by providing an open platform for sharing and discussion. The series publishes articles that are research-oriented and welcomes theoretical and applicational studies. Proceedings that are suitable for publication in the ACE cover domains on various perspectives of computing and engineering. |
| Aims & scope of ACE are: ·Computing ·Machine Learning ·Electrical Engineering & Signal Processing ·Applied Physics & Mechanical Engineering ·Chemical & Environmental Engineering ·Materials Science and Engineering |
Article processing charge
A one-time Article Processing Charge (APC) of 450 USD (US Dollars) applies to papers accepted after peer review. excluding taxes.
Open access policy
This is an open access journal which means that all content is freely available without charge to the user or his/her institution. (CC BY 4.0 license).
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These licenses afford authors copyright while enabling the public to reuse and adapt the content.
Peer-review process
Our blind and multi-reviewer process ensures that all articles are rigorously evaluated based on their intellectual merit and contribution to the field.
Editors View full editorial board
United Kingdom
anil.fernando@strath.ac.uk
United Kingdom
yilun.shang@northumbria.ac.uk
Portsmouth, UK
ella.haig@port.ac.uk
The United Arab Emirates
moayad.aloqaily@mbzuai.ac.ae
Latest articles View all articles
The external quantum efficiency of Deep Ultraviolet Light-Emitting Diodes (DUV LEDs) remains significantly lower than that of mature blue LEDs, which continues to be a key bottleneck hindering their development. This paper reviews the research background, current performance status, and efficiency limitation mechanisms of DUV LEDs. It systematically analyzes technical challenges ranging from internal quantum efficiency, light extraction efficiency, and thermal management to electrical losses, along with their corresponding solutions. The analysis indicates that to improve DUV LED performance, it is essential to comprehensively optimize internal quantum efficiency, light extraction efficiency, and electrical and thermal properties. The study also summarizes future development trends. Future research focuses on silicon-based epitaxial growth, novel light extraction structures, and integrated thermal management. Industrial progress relies on large-scale substrate production, higher yields and local manufacturing to reduce costs and expand applications, aiming to provide theoretical and technical references for performance enhancement and industrial applications of DUV LEDs.
With the continuous growth in demand for high-efficiency and high-voltage power electronic devices, β-gallium oxide (β-Ga2O3) has become a key ultra-wide bandgap (UWBG) semiconductor material. Owing to its ultra-wide bandgap of approximately 4.8 eV and far exceeding the theoretical Baliga Figure of Merit (BFOM) of silicon carbide and gallium nitride, β-Ga2O3 demonstrates great potential in the next-generation power systems. This article systematically summarizes the latest advancements in the research of β-Ga2O3, with a particular focus on the transition from basic material science to device engineering. By employing a systematic review and comparative analysis approach, this paper focuses on evaluating mainstream crystal growth techniques, the intrinsic defect engineering and doping mechanisms, and the performance of cutting-edge power devices such as Schottky barrier diodes (SBDs). This paper looks into the remaining technical obstacles and future prospects, aiming to provide a comprehensive reference path for the commercialization process of β-Ga2O3 electronic devices.
Global water pollution from industrial, agricultural, and domestic sources poses a serious threat to water security. Conventional treatment technologies face limitations such as secondary pollution, low efficiency, high cost, and membrane fouling. Semiconductor nanomaterials offer new solutions through quantum size effects, surface effects, and optoelectronic properties. This paper, through a systematic literature review, investigates three innovative processes: vacancy-engineered single-atom MXene membranes, α-MoO₃ nanotubes with a photocatalytic memory effect, and PEI-functionalized MoS₂-modified ceramic membranes. The results show that MXene membranes achieve an ultrahigh water flux of 2157 LMH and 98.7% TOC removal. α-MoO₃ nanotubes enable continuous purification in the dark with over 95% TOC removal. MoS₂-modified ceramic membranes provide nanofiltration-level separation for fluoride-containing wastewater. The paper concludes that deep integration of material properties and process design is key for future water treatment technologies.
Creep and recovery behaviors of polymer composites are fundamental manifestations of their viscoelastic nature and directly determine the material's reliability in complex environments. In-depth investigation of the creep and recovery behaviors of materials plays an indispensable role in illustrating their deformation and failure mechanisms. In this study, we employed DMA to investigate the creep and recovery behaviors of SHF and PVF under different temperatures and stresses. The Burgers model and Weibull distribution function were also used to fit the results. It was found that SHF exhibits predominantly elastic deformation with only 3.72% unrecovered deformation at 45 kPa and 205 °C, whereas PVF is dominated by viscous plastic deformation with 51.15% unrecovered deformation under the same condition. Fitting results reveal that the Burgers model accurately describes the viscoelastic creep processes of both materials and that the Weibull distribution function effectively quantifies their residual deformation characteristics. This performance disparity can be attributed to their different crosslinked networks. Thermally induced post-curing of residual Si–H groups in SHF increases crosslink density and enhances elasticity. However, high temperatures and stresses induce softening of PVF matrix, leading to irreversible chain dynamics.
Volumes View all volumes
Volume 249June 2026
Find articlesProceedings of CONF-MSS 2026 Symposium: Advanced Composite Materials and Polymer Chemistry
Conference website: https://2026.confmss.org/Adana/Home.html
Conference date: 19 June 2026
ISBN: 978-1-80590-858-6(Print)/978-1-80590-859-3(Online)
Editor: Mustafa İSTANBULLU
Volume 248June 2026
Find articlesProceedings of CONF-SEML 2026 Symposium: Computational Analysis and Modeling in Complex Intelligent Syste (CONF-SEML 2026)
Conference website: https://2026.confseml.org/Guildford/Home.html
Conference date: 25 June 2026
ISBN: 978-1-80590-852-4(Print)/978-1-80590-853-1(Online)
Editor: Mustafa İSTANBULLU , Roman Bauer
Volume 247June 2026
Find articlesProceedings of CONF-CDS 2026 Symposuim: Data-Centric AI Security: Securing Models, Learning Agents, and Autonomous Systems
Conference website: https://2026.confcds.org/Chicago/Home.html
Conference date: 23 July 2026
ISBN: 978-1-80590-850-0(Print)/978-1-80590-851-7(Online)
Editor: Marwan Omar
Volume 246June 2026
Find articlesProceedinbs of CONF-SPML 2026 Symposuim: The 2nd Neural Computing and Applications Workshop 2025
Conference website: https://2025.confspml.org/tianjin.html
Conference date: 21 December 2025
ISBN: 978-1-80590-848-7(Print)/978-1-80590-849-4(Online)
Editor: Marwan Omar , Guozheng Rao
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