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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.

131-140 of 181 results in All results

Microelectronics Reliability

  • ISSN: 0026-2714
  • 5 Year impact factor: 1.6
  • Impact factor: 1.6
Microelectronics Reliability, is dedicated to disseminating the latest research results and related information on the reliability of microelectronic devices, circuits and systems, from materials, process and manufacturing, to design, testing and operation. The coverage of the journal includes the following topics: measurement, understanding and analysis; evaluation and prediction; modelling and simulation; methodologies and mitigation. Papers which combine reliability with other important areas of microelectronics engineering, such as design, fabrication, integration, testing, and field operation will also be welcome, and practical papers reporting case studies in the field and specific application domains are particularly encouraged.Most accepted papers will be published as Research Papers, describing significant advances and completed work. Papers reviewing important developing topics of general interest may be accepted for publication as Review Papers. All contributions are subject to peer review by leading experts in the field. Special issues are devoted to significant international conferences, or to important developing topics.Microelectronics Reliability is an indispensable forum for the exchange of knowledge and experience between microelectronics reliability professionals from both academic and industrial environments, and all those associated in any way with a steadily growing microelectronics industry and its many fields of application.
Microelectronics Reliability

Microporous and Mesoporous Materials

  • ISSN: 1387-1811
  • 5 Year impact factor: 4.7
  • Impact factor: 4.8
The Official Journal of the International Zeolite AssociationMicroporous and Mesoporous Materials covers novel and significant aspects of porous solids classified as either microporous (pore size up to 2 nm) or mesoporous (pore size 2 to 50 nm). The porosity should have a specific impact on the material properties or application. Typical examples are zeolites and zeolite-like materials, pillared materials, clathrasils and clathrates, carbon molecular sieves, ordered mesoporous materials, organic/inorganic porous hybrid materials, or porous metal oxides. Both natural and synthetic porous materials are within the scope of the journal.Topics which are particularly of interest include:All aspects of natural microporous and mesoporous solidsThe synthesis of crystalline or amorphous porous materialsThe physico-chemical characterization of microporous and mesoporous solids, especially spectroscopic and microscopicThe modification of microporous and mesoporous solids, for example by ion exchange or solid-state reactionsAll topics related to diffusion of mobile species in the pores of microporous and mesoporous materialsAdsorption (and other separation techniques) using microporous or mesoporous adsorbentsCatalysis by microporous and mesoporous materialsHost/guest interactionsTheoretical chemistry and modelling of host/guest interactionsAll topics related to the application of microporous and mesoporous materials in industrial catalysis, separation technology, environmental protection, electrochemistry, membranes, sensors, optical devices, etc.The journal publishes original research papers, short communications, review articles and letters to the editor.
Microporous and Mesoporous Materials

Microprocessors and Microsystems

  • ISSN: 0141-9331
  • 5 Year impact factor: 2
  • Impact factor: 1.9
Embedded Hardware Design Affiliated with EuromicroMicroprocessors and Microsystems: Embedded Hardware Design (MICPRO) is a journal covering all design and architectural aspects related to embedded systems hardware. This includes different embedded system hardware platforms ranging from custom hardware via reconfigurable systems and application specific processors to general purpose embedded processors. Special emphasis is put on novel complex embedded architectures, such as systems on chip (SoC), systems on a programmable/reconfigurable chip (SoPC) and multi-processor systems on a chip (MPSoC), as well as, their memory and communication methods and structures, such as network-on-chip (NoC).Design automation of such systems including methodologies, techniques, flows and tools for their design, as well as, novel designs of hardware components fall within the scope of this journal. Novel cyber-physical applications that use embedded systems are also central in this journal. While software is not in the main focus of this journal, methods of hardware/software co-design, as well as, application restructuring and mapping to embedded hardware platforms, that consider interplay between software and hardware components with emphasis on hardware, are also in the journal scope.
Microprocessors and Microsystems

Minerals Engineering

  • ISSN: 0892-6875
  • 5 Year impact factor: 4.9
  • Impact factor: 4.9
An International Journal devoted to innovation and developments in mineral processing and extractive metallurgyThe purpose of the journal is to provide for the rapid publication of topical papers featuring the latest developments in the allied fields of mineral processing and extractive metallurgy. Its wide ranging coverage of research and practical (operating) topics includes physical separation methods, such as comminution, flotation concentration and dewatering, chemical methods such as bio-, hydro-, and electro-metallurgy, analytical techniques, process control, simulation and instrumentation, and mineralogical aspects of processing. Environmental issues, particularly those pertaining to sustainable development, will also be strongly covered.For more information on Minerals Engineering Conferences, visit the website: https://www.min-eng.com
Minerals Engineering

NDT & E International

  • ISSN: 0963-8695
  • 5 Year impact factor: 4.5
  • Impact factor: 4.1
Independent Nondestructive Testing and EvaluationNDT&E international publishes peer-reviewed results of original research and development in all categories of the fields of non-destructive testing and evaluation including ultrasonics, electromagnetics, radiography, optical and thermal methods. This includes the use of these techniques for periodic and long-term monitoring applications. The journal also publishes original papers on the research and development of new inspection techniques and methods, as well as on novel and innovative applications of established methods. The applications considered typically involve assessing the structural integrity of engineering structures and materials. This includes application to civil engineering materials and structures which present a specific set of challenges. Other novel applications are considered where a close link to either traditional applications or techniques can be shown. Application-focused studies should go beyond being examples of best practice and include clear novel features and have wider implications. As well as contributions that progress the physics and engineering science of non-destructive testing, the journal also publishes contributions on novel signal processing and data analysis methods. Use of artificial intelligence or machine learning for any application should be justified and compared with traditional physics-based methods. The expectation is that any modelling or simulation is accompanied by experimental evidence. The journal publishes a small number of review submissions, typically by invitation, with initial enquiries to the Editor-in Chief.
NDT & E International

Neural Networks

  • ISSN: 0893-6080
  • 5 Year impact factor: 7.9
  • Impact factor: 6
The Official Journal of the Asia-Pacific Neural Network Society, the International Neural Network Society & the Japanese Neural Network SocietyNeural 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 neural networks 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-inspired artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters, and reviews, as well as letters to the editor, editorials, current events, and software surveys. Articles are published in one of four sections: learning systems, cognitive and neural science, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), 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.International Neural Network Society (INNS) members can 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.
Neural Networks

Nuclear Engineering and Design

  • ISSN: 0029-5493
  • 5 Year impact factor: 2
  • Impact factor: 1.9
Nuclear Engineering and Design is the International Journal devoted to all aspects of Nuclear Fission Energy. The journal is affiliated with the European Nuclear Society (ENS) and with the International Association for Structural Mechanics in Reactor Technology, e.v. (IASMiRT).Nuclear Engineering and Design covers the wide range of disciplines involved in the engineering, design, safety, and construction of nuclear fission reactors. We welcome papers both on applied and innovative aspects and developments in nuclear science and technology.Fundamentals of Reactor Design include:Thermal-Hydraulics (including or not including Core Physics)Safety Analysis, Risk Assessment (PSA)Structural and Mechanical EngineeringRadioprotectionNeutron PhysicsMaterials ScienceFuel Behavior and DesignStructural Plant Design including seismic analysisEngineering of Reactor ComponentsExperimentsAspects beyond fundamentals of Reactor Design covered:Accident Analysis and Mitigation MeasuresBalance of Plant optimizationReactor Control SystemsLicensing IssuesSafeguard EngineeringEconomy of PlantsFuel cycle including Reprocessing / Waste DisposalApplications of Nuclear Energy: "nuclear-space", nuclear-transportation (ships and not only) . H2 production, desalination (or clean water from sea water),etc.MaintenanceDecommissioningPapers on new reactor ideas and developments such as SMR, and microreactors, then Generation IV reactors (e.g. inherently safe modular HTRs), High Performance LWRs/HWRs, Molten Salt reactors and LMFBs/GFR will be considered; Actinide Burners, Accelerator Driven Systems, and other special designs of power and research reactors and their applications are also encouraged.
Nuclear Engineering and Design

Ocean Engineering

  • ISSN: 0029-8018
  • 5 Year impact factor: 4.8
  • Impact factor: 4.6
Ocean Engineering aims to provide a medium for the publication of original research and development work in the field of ocean engineering.The journal seeks papers in the following topics:Ocean Engineering including:fixed and floating offshore platforms;pipelines and risers;cables and mooring;buoy technology;foundation engineering;ocean mining;marine and offshore renewable energy;aquaculture engineering; environmental protection;subsea engineering.Naval Architecture including:ship and special marine vehicle design;intact and damaged stability;technology for energy efficiency and green shipping;ship production technology;decommissioning and recycling.Polar and Arctic Engineering including:ice mechanics;ice-structure interaction;polar operations;polar design;environmental protection.Automatic Control of Marine Systems including:automatic control;automation and autonomy for marine vehicles and systemsUnderwater Technology including:AUV/ROV design;AUV/ROV hydrodynamics;maneuvering and control; underwater-specific communicating and sensing systems for AUV/ROVs.In these fields, papers on the following technical topics are welcome.Hydro- and Aerodynamics: CFD; vortex induced vibrations; fluid-structure interaction; hydroelasticity; linear and non-linear wave mechanics; buoyancy and stability; ship resistance and propulsion; seakeeping and controls; ship maneuvering; ship-radiated noise; wind-assisted propulsion; energy-efficient devices; hydroacoustics; aeroacoustics from offshore wind turbines.Structural Mechanics: materials; limit state prediction and assessments; fatigue; fracture; structural health monitoring; collision and crash worthiness, degradation; ship strength.Stochastic Calculations: stochastic processes; safety and reliability; risk and limit state design.Experimental Approaches: instrumentation; full-scale measurements; model tests.Marine equipment: risers; pipelines; ballast water treatment; air emissions treatment; underwater noise mitigation; and associated components or equipment.Ocean Environmental Predictions: only for ocean structures and vessel operation and design: extreme event predictions; extreme statistics; wave groups; tsunamis; short-term environment predictions; impact of climate change. Note that broader environmental and climate models, sensing, and data sets should be submitted to climate and oceanographic journals.Automatic Control of Marine Systems: Papers submitted in this subject area should have genuine value in naval architecture and maritime engineering and should include the validation of results preferably, by full-scale measurements or model-scale tests or, when this is not possible, by high-fidelity simulations. Methods used in papers should be validated in conditions that represent realistic marine environments.Human Factors and Maritime Safety including:Maritime accidents; fatigue management; risk assessment; situational awareness; maritime training; human errors; human performance in operation; human factors in maritime accidents; safety culture; human factors taxonomy; all related to maritime engineering.Ocean Engineering does not accept submissions on marine engines and auxiliary systems, heating and cooling systems, pumps, underwater explosions, sediment transport, purely theoretical papers without any application to ocean engineering, broad material science, and corrosion studies without a focus on naval architecture or offshore engineering.Additionally, Ocean Engineering does not accept submissions focusing solely on military applications.*Authors are requested to complete a Review Proposal Form for Editorial approval prior to submission of the review article. Proposals can be submitted to [email protected] or one of the Editors.
Ocean Engineering

Oceanographic Literature Review

  • ISSN: 0967-0653
Oceanographic Literature Review comprises an annotated bibliography to the international research literature in all fields of oceanography including science, mathematics and methods as well as policy, laws, economics and resource management. It contains some 8000 citations per annum, most accompanied by an abstract. OLR is unique in citing non-oceanographic material in the basic sciences thought to be useful to oceanographers.Regular Contents Include:• Physical oceanography• Marine meteorology• Chemical oceanography• Marine geology and geophysics• Biological oceanography• Environmental oceanography and pollution• Applied oceanography and engineering• Regional studies• GeneralFeatures • Abstracts taken from over 2,000 science journals • Monthly publication • Full bibliographic details of the original publication • Author abstracts • Title translation and abstract for non-English papers • International coverageEach issue contains an abbreviated subject index, a regional and organism index. An annual index will also be produced as a separate volume incorporating a full subject index, a regional index, organism index, author index and a journal listing of all journals sourced.Oceanographic Literature Review is available online as a subset of the database, GEOBASE, through Engineering Village, DIALOG, and Ovid.Oceanographic Literature Review is available as part of the Oceanography Package - Option 1 which comprises Continental Shell Research, Deep Sea Research Parts I & II, Journal of Marine Systems, Oceanographic Literature Review and Progress in Oceanography. See Oceanography Package - Option 1 for details.
Oceanographic Literature Review

Operations Research Letters

  • ISSN: 0167-6377
  • 5 Year impact factor: 1.1
  • Impact factor: 0.8
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, R. Roet-Green, 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: Jamol Pender Associate Editors: H. Honnappa, E. Ozkan, W. Wang, Y. Zhao The 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.
Operations Research Letters