Journals in Engineering and technology
Journals in Engineering and technology
The Engineering and Technology portfolio includes comprehensive overviews of all major research and practical developments in aerospace and automotive engineering, civil and environmental engineering, mechanical and industrial engineering, materials engineering, electrical engineering, communications engineering, and more. In-depth coverage, innovative state-of-the-art approaches, and real-world case studies provide valuable, actionable insights for researchers, applied engineers and students. The content in Elsevier's Engineering and Technology books program addresses core issues in industry and society, such as sustainability, the circular economy, AI, and automation.
Materials Today
Materials Today is the flagship journal of the Materials Today family and is dedicated to covering the most innovative, cutting edge and influential work of broad interest to the materials science community.Having established the journal as one of the most highly respected sources of news and reviews in materials science over the last two decades, Materials Today has expanded its scope to cover ground breaking original research in materials science, and aims to become a leading forum in the field.The editors welcome comprehensive articles and short communications reporting breakthrough discoveries and major technical achievements as well as review articles from established leaders in engaging and rapidly developing fields within materials science and related disciplines.Material... Today offers authors rigorous peer review, rapid publication, and maximum visibility. The journal expects to accept only the most significant submitted manuscripts, but will provide very rapid evaluation to prevent publication delays.The Materials Today Family of journals publishes fundamental and applied research that address many of the world’s grand challenges.We publish research across all materials science disciplines, from incremental results to ground-breaking discoveries. Our journals offer multi- and inter-disciplinary platforms for collaboration and the cross-pollination of ideas to drive the field forwardFor more information on the wider Materials Today family visit elsevier.com/subject...- ISSN: 1369-7021
Transportation Research Part C: Emerging Technologies
The focus of Transportation Research: Part C (TR_C) is high-quality, scholarly research that addresses development, applications, and implications, in the field of transportation systems and emerging technologies . The interest is not in the individual technologies per se, but in their ultimate implications for the planning, design, operation, control, maintenance and rehabilitation of transportation systems, services and components. In other words, the intellectual core of the journal is on the transportation side, not on the technology side. The integration of quantitative methods from fields such as operations research, control systems, complex networks, computer science, artificial intelligence are encouraged.Of particular interest are the impacts of emerging technologies on transportation system performance, in terms of monitoring, efficiency, safety, reliability, resource consumption and the environment. Submissions in the following areas of transportation are welcome: multimodal and intermodal transportation; on-demand transport; intelligent transportation systems; traffic and demand management; real-time operations; connected and autonomous vehicles; logistics; railways; resource and infrastructure management; aviation; pedestrians and soft modes.Special emphasis is given in open science initiatives and promoting the opening of large-scale datasets for papers published in TR_C that can support transferability and benchmarking of different approaches. The realization of data opportunities that arise from emerging technologies and new sensors in transportation can revolutionize how this data reshape our understanding of congestion mechanisms and can contribute in efficient and sustainable mobility management.- ISSN: 0968-090X
Operations Research Letters
Operations Research Letters (ORL) is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. ORL welcomes pure methodological papers and applied papers with firm methodological grounding. All articles are restricted to at most eight journal pages, with the option to relegate proofs and additional material to an online appendix. The main criteria for the papers to be published are quality, originality, relevance, and clarity. The journal's traditional strength is in methodology, including theory, modelling, algorithms, and computational studies. Please find below a full description of the areas covered by the journal.Area EditorsApproximation Algorithms for Combinatorial Optimization Problems Area Editor: Leah Epstein Associate Editors: M. Chrobak, K. Elbassioni, M. Feldman, J. Hurink, N. Olver, J. Sgall, J. Verschae The area covers all issues relevant to the development of efficient approximate solutions to computationally difficult problems. This includes worst case analysis or competitive analysis of approximation algorithms, and complexity results.Submissions can be articles consisting of theoretical work in the area, or articles combining significant theoretical contributions of mathematical flavor with computational investigations of heuristic approaches. Articles in the area of discrete optimization that do not belong to the scope of other areas may be submitted to this area as well.Computational Social Science Area Editor: Vianney Perchet Associate Editors: A. Drutsa, P. Mertikopoulos, R. Smorodinsky This area publishes papers focusing on data-driven procedures, either from a theoretical or an applied perspective, in operation research, games, economics and other social science. The scope includes: sample/computational complexity of mechanisms, learning in games/OR/social science, empirical solutions with AI algorithms (such as, but not limited to, deep learning techniques) of complex problems, etc. Continuous Optimization Area Editor: Hector Ramirez Associate Editors: M.F. Anjos, L.M. Briceno, D. Dadush, G. Eichfelder, D. Jiang, D. Orban, F. Schoen Papers in all fields of continuous optimization that are relevant to operations research are welcome. These areas include, but are not restricted to, linear programming, nonlinear programming (constrained or unconstrained, convex or nonconvex, smooth or nonsmooth, finite or infinite-dimensional... complementarity problems, variational inequalities, bilevel programming, and mathematical programs with equilibrium constraints. Financial Engineering Area Editor: Ning Cai Associate Editors: X. He, D. Mitchell Financial engineering utilizes methodologies of optimization, simulation, decision analysis and stochastic control to analyse the effectiveness and efficiency of financial markets. This area is interested in papers that innovate in terms of methods or that develop new models which guide financial practices. Examples include but are not limited to Fintech, financial networks, market microstructure, derivative pricing and hedging, credit and systemic risk, energy markets, portfolio selection. Game Theory Area Editor: Tristan Tomala Associate Editors: S. Beal, V. Ihele, D.W.K. Yeung, G. Zaccour This area publishes papers which use game theory to analyze operations research models or make theoretical contributions to the theory of games. The scope includes (but is not limited to): cooperative and non-cooperative games, dynamic games, mechanism and market design, algorithmic game theory, games on networks, games of incomplete information. Graphs & Networks Area Editor: Gianpaolo Oriolo Associate Editors: F. Bonomo, Y. Faenza, Z. Friggstad, L. Sanita The area seeks papers that apply, in original and insightful ways, discrete mathematics to advance the theory and practice of operations research, as well as those reporting theoretical or algorithmic advances for the area. Of particular, but not exclusive, interest are papers devoted to novel applications, telecommunications and transportation networks, graphs and web models and algorithms. Inventory and Supply Chain Optimization Area Editor: Sean Zhou Associate Editors: H. Abouee Mehrizi, A. Burnetas, X. Gong, Q. Li, J. Yang The area welcomes innovative papers focused on inventory control and supply management. Examples of topics include, but are not limited to, optimal sourcing, inventory and assortment selection, pricing and inventory optimization, capacity planning, multi-item/echelon systems, algorithms and bounds, near-optimal or asymptotic optimal solutions, and incentive design. Mixed Integer Optimization Area Editor: Marc Pfetsch Associate Editors: R. Fukasawa, L. Liberti, J.P. Vielma, G. Zambelli All submissions advancing the theory and practice of mixed integer (linear or nonlinear) programming like novel techniques and algorithmic approaches in convex relaxations, branch and cut, polyhedral combinatorics and theory driven heuristics are welcome. Case studies may be considered if they contribute to the general methodology. Operations Management Area Editor: Mahesh Nagarajan Associate Editors: L. Chu, Y. Ding, N. Golrezaei, T. Huh, D. Saban, C. Shi, L. Zhu The OM department aims to publish short, focused high quality research in the area of operations management, broadly the field of operations research applied to management problems. We welcome papers that use a wide variety of methodologies, both descriptive as well as prescriptive in nature including optimization, applied probability, simulation, and game theory. Scheduling Area Editor: Marc Uetz Associate Editors: B. Moseley, E. Pesch, R. Van Stee We seek original and significant contributions to the analysis and solution of sequencing and scheduling problems. This includes structural and algorithmic results, in particular optimization, approximation and online algorithms, as well as game theoretic modeling. All results are welcome as long as the relevance of a problem and significance of the contribution is made compellingly clear. Stochastic Models and Data Science Area Editor: Henry LamAssociate Editors: H. Bastani, J. Dong, K. Murthy, I. Ryzhov, Y. Zhou The area seeks papers broadly on the interplay between operations research and machine learning and statistics where stochastic variability and uncertainty play a crucial role. The area values both papers that develop or utilize stochastic analysis and computation in data science problems, including but not limited to reinforcement learning, stochastic iterative algorithms for model estimation or training, probabilistic analysis of statistical and machine learning tools, sampling and Monte Carlo methods, and also papers that integrate learning or statistical techniques into stochastic modeling to enhance prediction or decision-making for a wide variety of systems. Stochastic Networks and Queues Area Editor: Harsha HonnappaAssociate Editors: R. Roet-Green, E. Ozkan, W. Wang, Y. ZhaoThe area seeks papers that contribute to the modeling, analysis or innovative application of stochastic networks or queues. Work submitted should propose original models and develop novel analytical or computational methods more than incremental extensions. Examples of relevant application areas include but are not limited to supply chain management, manufacturing, financial engineering, healthcare, revenue management, service operations, telecommunications, sharing economy, online markets and public sector operations research. Application-oriented papers should demonstrate direct practical impact and have a strong methodological component as well.Stochastic Optimization and Machine Learning Area Editor: Angelos Georghiou Associate Editors: M. Bodur, M. Claus, E. Feinberg, P. Vayanos The Stochastic Optimization and Machine Learning area of Operations Research Letters solicits original articles that generate novel insights into problems that arise in optimization under uncertainty and in machine learning. The focus is broad and encompasses, among others, stochastic (dynamic) programming, (distributionally) robust optimization, data-driven optimization as well as the interface of machine learning with traditional areas of operations research. Successful submissions in this area are expected to make a clear and meaningful academic contribution, which may be through the study of new problems, models, solution techniques, performance analysis and convincing and reproducible numerical evaluations.- ISSN: 0167-6377
Neural Networks
Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep learning and related approaches to artificial intelligence and machine learning. Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep learning algorithms and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspire... artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. On the other hand, neural networks should be central to submissions. The journal publishes articles, letters, and reviews/tutorials, as well as letters to the editor, editorials, and current events. Articles are published in one of five sections: learning systems, cognitive science, neuroscience, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of three of the oldest and most prominent neural network societies: the International Neural Network Society (INNS), the Asia-Pacific Neural Network Society (APNNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.Members of the societies listed as affiliated to the journal receive a 25% discount on Article Processing Charges when they publish an article in Neural Networks as an author - this will be detailed through the submission and production processes.INNS members receive additional support with a further 25% contribution from the INNS towards their open access article processing charges for accepted papers. If you are an INNS member, please submit this web form to receive reimbursement for 25% of your open access article processing charges. You will be asked to submit a PDF copy of your acceptance and production email, as well as a Wire Transfer Form.- ISSN: 0893-6080
European Polymer Journal
European Polymer Journal is dedicated to publishing work on fundamental and applied polymer chemistry and macromolecular materials. The journal covers all aspects of polymer synthesis, including polymerization mechanisms and chemical functional transformations, with a focus on novel polymers and the relationships between molecular structure and polymer properties. In addition, we welcome submissions on bio-based or renewable polymers, stimuli-responsive systems and polymer bio-hybrids. European Polymer Journal also publishes research on the biomedical application of polymers, including drug delivery and regenerative medicine. The main scope is covered but not limited to the following core research areas:Polymer synthesis and functionalization • Novel synthetic routes for polymerization, functional modification, controlled/living polymerization and precision polymers. Stimuli-responsive polymers • Including shape memory and self-healing polymers. Supramolecular polymers and self-assembly • Molecular recognition and higher order polymer structures. Renewable and sustainable polymers • Bio-based, biodegradable and anti-microbial polymers and polymeric bio-nanocomposites. Polymers at interfaces and surfaces • Chemistry and engineering of surfaces with biological relevance, including patterning, antifouling polymers and polymers for membrane applications. Biomedical applications and nanomedicine • Polymers for regenerative medicine, drug delivery molecular release and gene therapyThe scope of European Polymer Journal no longer includes Polymer Physics. We would strongly recommend that authors consider submitting Polymer Physics papers to our excellent sister title Polymer https://www.journals... Types and Submission European Polymer Journal publishes the following article types: original research papers, review articles, featured articles, short communications and Research Insights.- ISSN: 0014-3057
Photonics and Nanostructures - Fundamentals and Applications
The Journal features mainly original research work in experiment, theory and applications related to nanophotonic structures. Papers suitable for publication significantly advance our understanding of nanophotonic materials and structures and cover topics such as:• Metamaterials and metasurfaces; • Photonic crystals and related micro- and nanophotonic materials; • Investigation and characterization of photonic crystal properties such as optical nonlinearities, photonic band gap effects, spontaneous emission; • Fabrication of nanophotonic structures and devices using various methods, including lithography, self-assembly, holography, etc.; • Subwavelength optics of structured materials; • Metallic and metallo-dielectric nanophotonic structures; • Subwavelength structures for terahertz optics; • Plasmonics; • Chiral and bianisotropic media; • Structured photonic topological insulators and optics of PT-symmetric nanostructures; • Optics of nanostructured 2D materials; • Random and complex structured optical media; • Frequency selective surfaces; • High-impedance surfaces; • Metamaterials for antenna and circuit technology; • Metamaterial-based devices; • Acoustic and elastic metamaterials; • Photonic crystal fibers and "holey" fibers; • Integration of photonic crystals; • Micro-optical-electr... (MOEMS); • Nanostructured optical microcavities and photonic "dots"; • Inverse design and machine-learning-dri... design of nanophotonic structures; • Novel approaches to micro- and nanophotonics; • Critical assessment of new application fields (light sources, lasers, biophotonics, detectors, optical components, atom and molecule confinement).- ISSN: 1569-4410
International Journal of Thermal Sciences
Founded as Revue Générale de Thermique in 1962The International Journal of Thermal Sciences is devoted to the publication of original research papers concerned with fundamental studies on the physics of processes involving heat transfer and their coupling with mass transfer and/or fluid flow. The journal especially welcomes papers aiming at a better understanding of the coupling of local mechanisms and their interactions in larger scale systems.Papers submitted for publication may contain either experimental results, numerical simulations or discussions of models, and must present a significant scientific contribution.The fundamental subjects considered within the scope of the journal are:• Heat and relevant mass transfer at all scales (nano, micro and macro) and in all types of materials (heterogeneous, composites, biological,...) and fluid flow • Forced, natural or mixed convection in reactive or non-reactive media • Single or multi-phase fluid flow with or without phase change • Near-and far-field radiative heat transfer • Combined modes of heat transfer in complex systems (for example, plasmas, biological or geological systems,?) • Multiscale modelling.Manuscript... dedicated to stability analysis studies, or with developed codes, can be considered if their focus is on the physics of heat and mass transfer processes. Experimental validation for the actual problem or a related case is strongly encouraged. They are, however, outside the scope of our journal, if such papers are centered on mathematical developments.In all cases, the paper must present a physical discussion of the mathematical model and a clear justification of the underlying assumptions.Papers dedicated to applications in different fields of engineering or natural sciences may be considered provided that they analyze the coupling of heat transfer modes with other mechanisms and their influence on the system's behavior.The International Journal of Thermal Sciences will not accept papers with the following characteristics:• Studies which belong to already established specialized journals, such as computational techniques, combustion, thermodynamic cycles,? • Papers with purely descriptive or empirical content, • Mere applications of classical equations to complex fluids (e.g. colloidal suspensions) or to the complex combination of basic mechanisms (divided media, external forces,?) • Numerical simulations without a thorough validation of the code and convergence study, • Numerical results using commercial CFD codes, unless new insights into the physics of the process are presented. Even in such cases, experimental validation is mandatory for the actual problem. • Experimental reports without uncertainty analysis or presenting results without error margins, • Experimental or numerical studies which do not provide a physical interpretation of the observed behavior, • Studies presenting the global performance of industrial systems, • Papers on the characterization of materials, • Statistical techniques describing the process as a black box.Articles can be submitted in English or French. Before submitting a Review Article, the main author should contact one of the Editors-in-Chief.- ISSN: 1290-0729
Computers & Fluids
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, aeroacoustics 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.The journal also accepts papers dealing with uncertainty quantification in fluid flow simulations, reduced-order and surrogate models for fluid flows, optimization and control. Papers dealing with machine learning approaches applied to fluid flow modeling are welcome, provided they show excellent scientific character. In particular, the authors are encouraged to perform comparisons with traditional numerical reconstruction methods, to provide a clear presentation of training vs validation cases, together with sufficient diversity in these cases, to analyze the physical consistency/theoreti... analysis of the ML model, and to discuss the limitations of the method as well as its merits.- ISSN: 0045-7930
Energy and Buildings
An international journal devoted to investigations of energy use and efficiency in buildingsEnergy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality. Energy and Buildings considers and publishes articles considerably advancing Building Science. Preference is given to practical and experimental research articles reporting considerable innovations. Articles reporting advances in theoretical and simulation methods are welcome if results are validated, calibrated, or benchmarked using appropriate experimental or well-recognized data, and so are the articles reporting applications of numerical or theoretical methods for the analysis of new technologies, materials, and innovative designs or operations.Topics covered include:Energy demands and consumption in existing, new, and future buildings – prediction, benchmarking, and validationIndoor environment quality, including safety, health, thermal and visual comfort vis-à -vis energyNatural, mechanical and hybrid ventilationAir distribution in buildingsApplication of solar and other renewable energy sources in buildingsEnergy balances in building complexes (residential, commercial, industrial, public and other buildings)Energy efficiency improvement measures of HVAC&R and other technical systems in residential, commercial, public and industrial buildings, and semi open built spacesHeat recovery systems in buildingsBuildings and district heating and coolingEnergy conservation in built environmentEnergy efficient buildingsBuilding physicsEnergy sustainability, resilience and climate adaptability of buildingsEvaluation and control of indoor thermal and lighting systemsBuilding's total performance and influencing factorsIntelligent/s... buildings and communitiesLinks between architectural design, mechanical and lighting systemsNew materials in buildings and their impact on energy demandsExternal and internal design conditions for energy efficient buildingsBuilding envelope materials and structure energy performanceThermal energy storage and thermally active building systems - TABSEnergy performance of buildingsAdvanced controls of energy systems in buildings: model predictive controls, AI-based controlsZero CO2 emission - zero energy and energy plus buildings and their smart grid harmonized operationResidential... energy refurbishment and renovationLife cycle energy efficiency of buildings and embodied energyArchitectural structure - construction energy efficiencyEnergy related aspects of buildings after catastrophic eventsApplications of AI related to energy use in buildingsTechnologic... issues in energy poverty in building sectorsImpacts of urban microclimate and wind-structure interaction on the thermal comfort in building surroundings, building ventilation and energy useGlobal and regional climate change and its potential impact on the energy and environmental quality of the built environmentNew heat and energy mitigation and adaptation technologies for the built environmentSuccessfu... case studies demonstrating the implementation of innovative energy and environmental technologies in the built environmentSynergies between energy consumption and indoor environmental qualityThe impact of human behaviors on the energy consumption of buildingsDistributed energy resources (behind-the-meter) in buildingsEnergy flexibility and demand response of buildingsGrid-respon... buildings and integrated energy systemsInterconnecti... between buildings, urban climate, transportation, and power gridDatasets of operational performance of buildings and energy systemsFuture and extreme weather data supporting energy and buildings researchEnergy use in data centers and industry facilitiesAdvanced building performance modelling and simulation techniquesDecarboniz... (including electrification) of building energy systemsDigital twins of buildings and energy systemsAdvanced analytics of buildings and systems performanceBuilding energy policy, codes and standardsPapers with results based on simulations are welcome but those with clear links to laboratory or field measurements are preferred. These links may include calibration, benchmarking, validation, or comparisons of results.Replication Studies: This journal encourages the submission of replication studies. When submitting your manuscript ensure the original study is clearly referenced, and provide a link to the original study. Replication studies should include [brief] introduction and discussion sections that succinctly report the goal of the original paper. The original paper should be the work of a different author or group of authors. For replication studies please also deposit your data in Mendeley data or another trusted repository and ensure your data is properly cited. Please refer to the section on Research data for further guidance on data deposition and citation.Please follow and tag the journal on one of our Social media accounts if you are sharing a link to your paper on ScienceDirect: Twitter (@ENBJournal) and LinkedIn.- ISSN: 0378-7788
Accident Analysis & Prevention
Affiliated with the Association for the Advancement of Automotive MedicineAccident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.- ISSN: 0001-4575
