Applied and Computational Engineering

Open access

Print ISSN: 2755-2721

Online ISSN: 2755-273X

About ACE

The 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

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Editors View full editorial board

Anil Fernando
University of Strathclyde
United Kingdom
Editor-in-Chief
anil.fernando@strath.ac.uk
Yilun Shang
Northumbria University
United Kingdom
Associate Editor
yilun.shang@northumbria.ac.uk
Ella Haig
University of Portsmouth
Portsmouth, UK
Associate Editor
ella.haig@port.ac.uk
Moayad Aloqaily
Mohamed Bin Zayed University of Artificial Intelligence
The United Arab Emirates
Associate Editor
moayad.aloqaily@mbzuai.ac.ae

Latest articles View all articles

Research Article
Published on 16 March 2026 DOI: 10.54254/2755-2721/2026.AD32213
Likun Zhang

The need for lithium-ion batteries with high energy density and long cycle life is becoming more and more urgent. This is because electric vehicles and large-scale energy storage systems are expanding at a rapid speed. Among all the possible positive electrode materials, ternary layered oxides (LiNixCoyMnzO₂, or NCM) are seen as a key material system for next-generation high-energy batteries because of their high specific capacity and relatively low cost. But there are some challenges that stand in the way of their real application, such as complicated synthesis processes, unstable structure in high-nickel compositions and serious side reactions at the material interface. This paper gives a detailed and systematic review of the latest progress in the creative synthesis methods and performance optimization ways for NCM positive electrode materials. It also talks about the main preparation methods, including the sol-gel method, coprecipitation and hydrothermal synthesis. The paper sums up the newest development of these techniques, with a focus on making synthesis processes simpler, making materials more homogeneous, controlling the microstructure well and making the electrochemical performance better. In short, new ideas and changes in synthesis routes can make the elemental uniformity, structural integrity and electrochemical stability of NCM materials much better, and in this way, they provide reliable material solutions for the development of high-performance lithium-ion batteries.

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Zhang,L. (2026). An Overview of Modification Strategies for Ternary Cathode Materials in Lithium-Ion Batteries. Applied and Computational Engineering,229,21-30.
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Research Article
Published on 16 March 2026 DOI: 10.54254/2755-2721/2026.AD32271
Xu Fu, Jie Kou

Heavy oil is very thick and flows badly. So it is hard to get heavy oil from the ground. This paper uses ultrasound to make heavy oil less thick. First, this paper studies how ultrasound works. Ultrasound can break the material inside heavy oil. Then, this paper uses COMSOL to build a model. It studies how frequency and voltage affect the sound field in heavy oil. The study shows that the best effect is at 20kHz. Sound pressure becomes higher when voltage is higher. Using right frequency and higher voltage can make ultrasound work better. This gives help for making better ultrasound equipment.

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Fu,X.;Kou,J. (2026). Study on Heavy Oil Viscosity Reduction by Ultrasound and Parameter Optimization Based on COMSOL Simulation. Applied and Computational Engineering,229,11-20.
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Research Article
Published on 9 March 2026 DOI: 10.54254/2755-2721/2026.AD32079
Nana Wang, Yuchen Xiao

Calcium looping (CaL) is a great way to store thermal energy because it holds a lot of energy. But there is a big problem: CaO adsorbents quickly lose their activity. When they get hot, they sinter. Also, the product layer blocks diffusion. Because of these issues, we cannot easily use CaL on a large scale right now. To fix this, researchers are adding oxygen vacancies at the atomic level. This paper reviews how oxygen vacancies change CaO-based materials for the better. First, we look at how people make these vacancies in the lab. For example, they use aliovalent doping or change the material's shape. We also list the main tools used to check them. Next, the paper explains the science behind this using Density Functional Theory (DFT) calculations. These calculations show us exactly how the vacancies work. They give ions an easier path to travel, which speeds up the physical movement (better kinetics). At the same time, the vacancies act as Lewis basic sites. They grab CO₂ molecules tighter, which helps the reaction happen (better thermodynamics). Finally, we talk about the remaining hurdles, especially keeping the materials stable at very high heat. We suggest that future work should combine live testing (in-situ) with data-driven computer models to build much stronger energy storage materials.

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Wang,N.;Xiao,Y. (2026). Mechanisms and Strategies of Oxygen Vacancy Regulation for High-Performance CaO-Based Thermochemical Energy Storage. Applied and Computational Engineering,229,1-10.
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Research Article
Published on 16 March 2026 DOI: 10.54254/2755-2721/2026.32198
Xiaojun Yang, Wenbo Yang

Stance expressions and markers are a heated topic in global linguistic research, with style stance adverbs as a core form of stance markers, classified alongside epistemic and attitude stance adverbs. This study employs an AI-powered corpus-based comparative analysis method to probe into 11 top English style stance adverbs in the Chinese Learners of English Corpus, British National Corpus and Corpus of Contemporary American English. AI instruments are applied to optimize corpus data retrieval, statistical analysis and positional distribution mapping and make comparative analyses of their use characteristics and positional distribution of the style stance adverbs between Chinese English learners and native speakers to probe into their interpersonal pragmatic functions and use characteristics. The research findings reveal significant discrepancies: Chinese learners overuse style stance adverbs with a narrow vocabulary range, and misapply spoken-language positional conventions (initial/final placement) in written discourse resulting from insufficient understanding of their structural and functional features in academic contexts. This study deeps and widens stance adverb research and provides guidance for EFL teaching and learners' pragmatic competence improvement.

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Yang,X.;Yang,W. (2026). AI-Powered Corpus Investigation and Analyses of the Interpersonal Pragmatic Functions of English Style Stance Adverbs. Applied and Computational Engineering,228,53-59.
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Volumes View all volumes

Volume 229March 2026

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Proceedings of CONF-MSS 2026 Symposium: Advanced Composite Materials and Polymer Chemistry

Conference website: https://www.confmss.org/Adana/Home.html

Conference date: 19 June 2026

ISBN: 978-1-80590-667-4(Print)/978-1-80590-668-1(Online)

Editor: Mustafa Istanbullu

Volume 228March 2026

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Proceedings of the 4th International Conference on Software Engineering and Machine Learning

Conference website: https://www.confseml.org/index.html

Conference date: 26 June 2026

ISBN: 978-1-80590-533-2(Print)/978-1-80590-534-9(Online)

Editor: Mustafa İSTANBULLU

Volume 227March 2026

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Proceedings of CONF-SEML 2026 Symposium: Computational Analysis and Modeling in Complex Intelligent Systems

Conference website: https://www.confseml.org/guildford.html

Conference date: 26 June 2026

ISBN: 978-1-80590-469-4(Print)/978-1-80590-470-0(Online)

Editor: Mustafa İSTANBULLU , Roman Bauer

Volume 226March 2026

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Proceedings of CONF-SEML 2026 Symposium: Multimodal Data Acquisition: Applications in Physiological and Behavioral Research

Conference website: https://www.confseml.org/adana.html

Conference date: 20 May 2026

ISBN: 978-1-80590-637-7(Print)/978-1-80590-638-4(Online)

Editor: Mustafa İSTANBULLU

Indexing

The published articles will be submitted to following databases below: