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Engineering | Journal | ScienceDirect. com by Elsevier The official journal of the and is an international open-access journal that was launched by the Chinese Academy of Engineering (CAE) in 2015 Its aims are to provide a high-level platform where cutting-edge advancements in engineering R D, current major research outputs, and key achievements can be disseminated and shared; to report progress in engineering science, discuss hot topics, areas
Guide for authors - Engineering Structures - ISSN 0141-0296 . . . Engineering Structures provides a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the structural engineering and structural mechanics communities Particularly welcome are contributions dealing with new developments or innovative applications of structural and mechanics principles and digital technologies for the analysis and design of engineering
Engineering thermostability of industrial enzymes for enhanced . . . Thermostability is a key factor for the industrial application of enzymes This review categorizes enzymes by their applications and discusses the importance of engineering thermostability for practical use It summarizes fundamental theories and recent advancements in enzyme thermostability modification, including directed evolution, semi-rational design, and rational design Directed
Next Chemical Engineering | Journal - ScienceDirect Next Chemical Engineering is a peer-reviewed, open access journal publishing cutting-edge research in the field of chemical engineering The journal is part of the Next family, a suite of multidisciplinary open access journals from Elsevier, dedicated to advancing scientific knowledge across … View full aims scope
In vitro metabolic engineering of bioelectricity generation by the . . . In vitro metabolic engineering is the construction of cell-free synthetic enzymatic pathways to implement complex biochemical reactions without the constraints of cell membranes and bioenergetics (Bogorad et al , 2014, Dudley et al , 2015, Zhang, 2015) The pathway design requires a balance between the generation and consumption of coenzymes Compared with whole-cell-based systems, in vitro
Machine Learning to speed up Computational Fluid Dynamics engineering . . . Computational fluid dynamics (CFD) is a valuable tool in designing built environments, enhancing comfort, health, energy efficiency, and safety in both indoor and outdoor applications Nevertheless, the time required for CFD computations still needs to be reduced for engineering studies Recent advances in machine learning (ML) techniques offer a promising avenue for developing fast-running
Alexandria Engineering Journal | ScienceDirect. com by Elsevier Peer review under the responsibility of Faculty of Engineering, Alexandria University Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA) The papers published in Alexandria