Journals in Engineering and technology

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Communications in Transportation Research

ISSN: 2772-4247

An official journal of Tsinghua University Communications in Transportation Research publishes peer-reviewed high-quality research representing important advances of significance to emerging transport systems. The mission is to provide fair, fast, and expert peer review to authors and insightful theories, impactful advances, and interesting discoveries to readers. We welcome submissions of significant and general topics, of inter-disciplinary nature (transport, civil, control, artificial intelligence, social science, psychological science, medical services, etc.), of complex and inter-related system of systems, of strong evidence of data strength, of visionary analysis and forecasts towards the way forward, and of potentially implementable and utilizable policies/practices. To be more specific, the scope of expected submissions includes but is not limited to: Interactions among transportation systems and other systems Integrations of emerging technologies with transportation systems Big data analytics in transportation area Advances and discoveries in transportation area Forward-looking judgment for future transportation systems Emerging technologies/products and their impact on transportation Novel transportation modes and associated analytics Governmental initiated transportation policies and impact analysis Mobility as a service Field experiments of emerging transportation technologies Transportation electrification, automation, and connectivity Communications in Transportation Research is a fully open access journal. It is co-published by Tsinghua University Press and Elsevier, and co-sponsored by the State Key Laboratory of Automotive Safety and Energy (Tsinghua University) and China Intelligent Transportation Systems Association (ITS China). At its discretion, Tsinghua University Press will pay the open access fee for all published papers from 2021 to 2025.

Composite Structures

ISSN: 0263-8223
5 Year impact factor: 6.1
Impact factor: 6.3

The past few decades have seen outstanding advances in the use of composite materials in structural applications. There can be little doubt that, within engineering circles, composites have revolutionised traditional design concepts and made possible an unparalleled range of new and exciting possibilities as viable materials for construction. Composite Structures, an International Journal, disseminates knowledge between users, manufacturers, designers and researchers involved in structures or structural components manufactured using composite materials. The journal publishes papers which contribute to knowledge in the use of composite materials in engineering structures. Papers deal with design, research and development studies, experimental investigations, theoretical analysis and fabrication techniques relevant to the application of composites in load-bearing components for assemblies, ranging from individual components such as plates and shells to complete composite structures. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

Composites Part A: Applied Science and Manufacturing

ISSN: 1359-835X
5 Year impact factor: 8.7
Impact factor: 8.7

Composites Part A: Applied Science and Manufacturing publishes original research papers, review articles, case studies, short communications and letters from a wide variety of sources dealing with all aspects of the science and technology of composite materials, including fibrous and particulate reinforcements in polymeric, metallic and ceramic matrices, and 'natural' composites such as wood and biological materials. The range of applicable topics includes the properties, design and manufacture of reinforcing fibers and particles, novel architectures and concepts, multifunctional composites, advances in fabrication and processing of composite materials and structures, manufacturing science, process modelling, experimental mechanics, microstructural characterization of composites and their constituent phases, interfaces in composites, new approaches to prediction and measurement of mechanical, physical and chemical behaviour, and performance of composites in service. Articles are also welcomed on economic and commercial aspects of the applications of composites, design with composites and case studies. All articles are subject to rigorous peer review to ensure they make an important and novel contribution, and a high standard is set for both content and presentation. The Editors aim to conduct the review procedure with the minimum of delay so that prompt publication ensues. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

Composites Part B: Engineering

ISSN: 1359-8368
5 Year impact factor: 10.8
Impact factor: 13.1

Composites Part B: Engineering publishes impactful research of high quality on composite materials, supported by fundamental mechanics and materials science and engineering approaches. Targeted research may cover a range of length scales from nano, over micro and meso to full product/structure level, with a focus on Engineering embracing high performance applications spanning from low volume/high cost to high volume/low cost composite development. The Journal aims to provide a forum for the prompt publication of original and high quality research, with emphasis on design, development, modelling, validation and manufacturing of engineering details and concepts. Basic research papers are welcomed as well as proposals for review articles. Authors are encouraged to address challenges across application areas, such as (but not limited to) aerospace, automotive and other surface transportation, energy (renewable applications encouraged), infrastructure, off-shore, maritime, health care technology, and recreational products. Current topics of key interest to the readers of the Journal include all aspects related to manufacturing, design, validation, characterisation/testing, performance, application and sustainability of composite materials, and including functional and smart composite materials, novel composite material concepts, and also biomimetics and bio-based composites.

Computational Materials Science

ISSN: 0927-0256
5 Year impact factor: 3.4
Impact factor: 3.3

Aims and Scope: The aim of the journal is to publish papers that advance the field of computational materials science through the application of modern computational methods alone or in conjunction with experimental techniques to discover new materials and investigate existing inorganic materials, such as metals, ceramics, composites, semiconductors, nanostructures, 2D materials, metamaterials, and organic materials, such as polymers, liquid crystals, surfactants, emulsions, and also hybrid materials combining both inorganic and organic components such as polymer nanocomposites, nanocrystal superlattices or surfactant nanoparticle mixtures. Papers that report on the development of new methods, enhancement of existing approaches or significant technical computational advances are of interest. Papers with a focus on simulations must contain new conceptual or computational advances. For example, molecular dynamics using standard force fields, ordinary techniques and reporting conventional average quantities will be rejected without review. Validation of non-first-principles methods and transferability of methods must be included as part of each submission. In-depth discussion of impact, physical properties, and motivation for the system under study is strongly recommended. Studies including experimental data are of interest, but they must address a relevant theoretical/computational question. Papers that are deemed to be primarily experimental with some supporting theory will be returned without review. Data-driven materials research and materials informatics has emerged as a powerful technique to complement traditional computational materials science. Consistent with established best practices in data science, it is important that data and code associated with materials informatics studies adhere to FAIR data principles by being Findable, Accessible, Interoperable, and Reusable. FAIR data access also ensures a robust peer review process where results can be reproduced by referees. In a few rare cases, some limitations may prevent the complete public sharing of code and data; for instance, when the data or code is subject to copyright or intellectual property. However, these cases should be rare and considered on a case-by-case basis. The scope of the journal includes: obtaining new or enhanced insights into material behavior, properties and phenomena, predicting structure-property relationships for new materials in conjunction with data informatics, " novel capabilities of computational methods and algorithms, technical software and shareware, or cyberinfrastructures. Contributions are accepted in the form of critical reviews, articles, letters and perspectives. Occasional special issues will be organized around a particular theme and some of these will be guest edited. Not all topics that potentially fall under the category of computational materials science will be considered; to find out more please visit the Guide for Authors. Guide for Authors: Research articles will be assessed based on originality, uniqueness and scientific merit. Manuscripts with significant overlap with existing reported works are likely to be inadmissible. Not all topics that potentially fall under the category of computational materials science will be accepted. For example, submissions that emphasize small molecules or clusters, focus on the design of components for structural applications, describe performance of an electronic device, or characterize thermal or mass transport without extensive accompanying input and associated discussion from computational materials science methods are best suited for other specialized journals. Additionally, papers that focus on continuum mechanical responses of broad classes of materials are likely better suited for journals that specialize in the mechanics of materials. Papers on biomolecules, drugs, bone, or medical applications will not be considered. In addition, papers on materials such as asphalt, cement, concrete, and related materials will be rejected without review.

Computer Methods in Applied Mechanics and Engineering

ISSN: 0045-7825
5 Year impact factor: 6.8
Impact factor: 7.2

The development of computational methods for the solution of scientific and engineering problems governed by the laws of mechanics was one of the great scientific and engineering achievements of the second half of the 20th century, with a profound impact on science and technology. This is accomplished through advanced mathematical modeling and numerical solutions reflecting a combination of concepts, methods and principles that are often interdisciplinary in nature and span several areas of mechanics, mathematics, computer science and other scientific disciplines as well. Computer Methods in Applied Mechanics and Engineering was founded over five decades ago, providing a platform for the publication of papers in this important field of computational science and engineering. The range of appropriate contributions is very wide. It covers any type of computational method for the simulation of complex physical problems leading to the analysis and design of engineering products and systems. This includes theoretical development and rational applications of mathematical models, variational formulations, and numerical algorithms related to finite element, boundary element, finite difference, finite volume, isogeometric and meshless discretization methods in the following fields of of simulation-based engineering science: • Solid and structural mechanics • Fluid mechanics • Mechanics of materials • Heat transfer • Dynamics • Geomechanics • Acoustics • Biomechanics • Nanomechanics • Molecular dynamics • Quantum mechanics • Electromagnetics and also includes virtual design, multiscale phenomena, from nanoscale to macroscale, multiphysics problems, parallel computing, optimization, machine learning, probabilistic and stochastic approaches. CMAME publishes original papers at the forefront of modern research describing significant developments of computational methods in solving problems of applied mechanics and engineering.

Computer Methods in Applied Mechanics and Engineering

Computer-Aided Design

ISSN: 0010-4485
5 Year impact factor: 4.1
Impact factor: 4.3

Computer-Aided Design is a leading international journal that provides academia and industry with key papers on research and developments in computational foundations and methods of design. The term "design" is to be understood broadly to encompass conceptualization, synthesis, realization, and evolution of artifacts, processes, and systems (both natural and artificial). Computer-Aided Design invites papers reporting new research, as well as novel or particularly significant applications, within a wide range of topics, spanning all stages of design from concept creation to manufacture and beyond. Contributions are welcome from all disciplines and application areas, provided that they have a significant geometric, topological, spatial, or configuration design content, and present developments likely to be of interest to a broad spectrum of researchers, educators, and practitioners of computer-aided design. In this context, examples of relevant topics include but are not limited to: Foundational theories, frameworks, methodologies, and standards Mathematical models, representations, and algorithms for shapes, solids, structures, and assemblies Material, behavior, and physical modeling Conceptual design and invention Uncertainty and imprecision in computer-aided design Multi-scale modeling and design of shape and material structures System level design and model-based systems engineering Programmable subtractive, additive, and hybrid manufacturing Generative design, shape, topology, and material optimization Computational planning, fabrication, and inspection Discretization and meshing algorithms Data acquisition, model recognition and reconstruction Representation conversions and interoperability Applications of AI in design, including neural networks and machine learning Design ontologies, grammars, languages, and semantics Data driven modeling and synthesis Advanced support of manufacturing and downstream activities Technologies in support of digital factory and digital twin concepts User interfaces, system interfaces, and human-computer interaction Design databases, knowledge repositories, object libraries and retrieval Specific applications and significant benchmarks of computer-aided design Types of Papers: Research papers: report significant research and development results, describe the relevant theoretical foundations and methodology, and present workable algorithms and give examples taken from real world applications, stressing the significance of the approach being presented. Application papers: describe complex and pioneering applications of CAD concepts, methods and tools in practice, present significant results that extend the disciplinary knowledge and/or analyze the application in a way that is likely to stimulate and influence further research. Survey papers: critically analyze the current state of knowledge in a given field of CAD, summarize and organize recent research results in a novel way, derive new insights and deepen understanding of those working in the field, and propose possible topics, orientations and approaches for future research and development. Technical notes: respond to material published in the journal or closely related topics, repair a flaw in the definition and approach or stimulate further thinking, or provide additional technical details on a CAD theory, technology, methodology, product or application. Dataset papers: discuss creation, documentation, and critical assessment of data sets, repositories, and their uses supporting research and practice in all areas of computer-aided design. An algorithmic contribution is not required for a dataset paper, but the dataset itself must be made freely usable and accessible for research purposes. Dataset papers will go through the same rigorous review process and will be evaluated based on their novelty, impact, and presentation. Accessibility, privacy, and ethics are also important issues that will be considered by the reviewers and editors.

Computers & Chemical Engineering

ISSN: 0098-1354
5 Year impact factor: 4.1
Impact factor: 4.3

An International Journal of Computer Applications in Chemical Engineering Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems. Several major areas of study are represented in the journal, including: • Modeling, numerical analysis and simulation • Mathematical programming (optimization) • Cyberinfrastructure, informatics and intelligent systems • Process and product synthesis/design • Process dynamics, control and monitoring • Abnormal events management and process safety • Plant operations, integration, planning/scheduling and supply chain • Enterprise-wide management and technology-driven policy making • Domain applications (molecular, biological, pharmaceutical, food, energy, and environmental systems engineering) Also, general papers on process systems engineering are welcome as well as emerging new areas and topics not covered above. Articles published cover different aspects of the application of process systems engineering to one or more of the general areas listed above, including new applications of established methods, comparisons of alternative methodologies, descriptions of state-of-the-art industrial applications and significant developments in computing targeted at training/education. Reports of software implementation must feature novel uses of state-of-the-art computing technologies. Computers & Chemical Engineering publishes full-length articles, perspective papers, journal reviews, short notes and letters to the editor. Online article submission now available via: https://www.editorialmanager.com/CACE/default.aspx. Comments and Proposals: We are interested in receiving comttpments/feedback on this and our other journals and welcome publication proposals for books, electronic products, new journals and co-operation for existing journals.

Computers & Electrical Engineering

ISSN: 0045-7906
5 Year impact factor: 3.9
Impact factor: 4.3

The journal Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and communication and information systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like: Signal Processing Power Engineering (including renewable and green energies) Artificial Intelligence - methods and applications Security Privacy Communication The journal regularly publishes special sections covering specific topics of interest. Proposals for special sections should be submitted to the Editor-in-Chief. The list of current special sections can be found at https://www.sciencedirect.com/journal/computers-and-electrical-engineering/special-issues. Contributions should be submitted online following the guidelines in the Guide for Authors.

Computers & Fluids

ISSN: 0045-7930
5 Year impact factor: 3
Impact factor: 2.8

Computers & Fluids is multidisciplinary. The term 'fluid' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology. Applications will be found in most branches of engineering and science: mechanical, civil, chemical, aeronautical, medical, geophysical, nuclear and oceanographic. These will involve problems of air, sea and land vehicle motion and flow physics, energy conversion and power, chemical reactors and transport processes, ocean and atmospheric effects and pollution, biomedicine, noise and acoustics, and magnetohydrodynamics amongst others. The development of numerical methods relevant to fluid flow computations, computational analysis of flow physics and fluid interactions and novel applications to flow systems and to design are pertinent to Computers & Fluids. Benchmark solutions are also within the scope of the journal and will be published in dedicated issues. Policy statement on validation and numerical accuracy: Computers & Fluids will reject all manuscripts that do not report results with the required assessment of accuracy. The following items should be discussed and supported by adequate data and/or references: Statement of the physical model and flow configuration: both the governing equations, boundary conditions and geometry and governing dimensionless numbers (Reynolds number, Mach number...) should be clearly explicated in such a way that readers may reproduce the results. Statement of numerical methods: they should be described in a clear way, including boundary conditions and initial conditions. Formal order of accuracy should be given. Methods should be at least second-order accurate in space for spatially smooth solutions, locally first-order accurate methods being appropriate for flows with discontinuities (e.g. shocks). Statement of code verification activities: numerical implementation of the numerical schemes and algorithms should have been verified, e.g. using analytical solutions, manufactured solutions or highly accurate benchmark solutions. Spatial, temporal and iterative convergence of the presented results should be asessed in the manuscript. Grid convergence must be proved considering several computational convergence with respect to the number of degrees of freedom should be assessed. Iterative convergence should be proved for steady-state results plotting residual evolution. Temporal convergence should be proved considering several values of the time step. Benchmark solutions and dedicated speical issues: Benchmark solutions are important tools in CFD to assess the accuracy of new numerical method and to validate practical implementation. Since benchmark solutions do not bring new insight into flow physics and they do not correspond to presentation of a new numerical method, they will be published in dedicated special issues. Authors should submit them adequately. It is important noting that articles presenting a benchmark solution should fulfill all following mandatory requirements: Article must be submitted by authors from at least two different institutions. The flow configuration should be exhaustively detailed and parameterized by usual dimensionless parameters (Reynolds number, Mach number, angle of attack...). The paper should present results associated to a parametric exploration of at least one configuration parameter (Reynolds, Mach...). The selected range(s) of variation should encompass at lest one bifurcation in flow topology or flow dynamics (e.g. appearance of flow separation, rise of additional characteristic frequencies...) and the associated critical value(s) of the governing parameter(s) must be carefully determined. It is emphasized that new proposed benchmark solutions should significantly increase the confidence into numerical methods capabilities. Therefore, simple variations about already existing text cases will not be accepted. At least three different numerical methods should be used and compared on all figures/tables. Simple comparisons of numerical options available in commercial CFD tools and widely used open source solvers will not be accepted. In the case some results already exist for some test cases presented in the manuscript, a related exhaustive reference list should be given and associated data used for comparision. The benchmark solutions should be free of any physical modelling uncertainty. Therefore, turbulence model or other semi-empirical physical models should not be used. Grid convergence should be assessed considering at least four resolution levels. For gridless and stohastic methods, four refinement levels in terms of number of degrees of freedom should be presented. The manuscript should provide the reader with tables and plots displaying values of relevant and useful physical quantities versus (i) grid resolution/number of degrees of freedom and (ii) flow parameters in the selected range of variation. Authors are also strongly encouraged to provide full data set in text format that will be made available as supplementary materials. Authors are free to propose benchmark solutions. In the case several submitted papers under review deal with the very close test cases, authors will be asked to converge on a set of test cases and to re-submit a common paper.