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EngMeta: metadata for computational engineering [PDF]
International Journal of Metadata, Semantics and Ontologies, 2020 Computational engineering generates knowledge through the analysis and interpretation of research data, which is produced by computer simulation. Supercomputers produce huge amounts of research data. To address a research question, a lot of simulations are run over a large parameter space. Therefore, handling this data and keeping an overview becomes a
Björn Schembera, Dorothea Iglezakis
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Computational Engineering of Low Bandgap Copolymers [PDF]
Frontiers in Chemistry, 2013 We present a conceptual approach to low bandgap copolymers, in which we clarify the physical parameters which control the optical bandgap, develop a fundamental understanding of bandgap tuning, unify the terminology, and outline the minimum requirements ...
Michael eWykes +2 more
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Machine-Learning Methods for Computational Science and Engineering
Computation, 2020 The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing.
Michael Frank +2 more
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Computational approaches to metabolic engineering utilizing systems biology and synthetic biology
Computational and Structural Biotechnology Journal, 2014 Metabolic engineering modifies cellular function to address various biochemical applications. Underlying metabolic engineering efforts are a host of tools and knowledge that are integrated to enable successful outcomes.
Stephen S. Fong
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Oberwolfach Reports, 2018 This Workshop treated a variety of finite element methods and applications in computational engineering and expanded their mathematical foundation in engineering analysis. Among the 53 participants were mathematicians and engineers with focus on mixed and nonstandard finite element schemes and their applications.
O. Allix +3 more
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Computational Engineering [PDF]
Oberwolfach Reports, 2016 The focus of this Computational Engineering Workshop was on the mathematical foundation of state-of-the-art and emerging finite element methods in engineering analysis. The 52 participants included mathematicians and engineers with shared interest on discontinuous Galerkin or Petrov-Galerkin methods and other generalized nonconforming or mixed finite ...
Susanne C. Brenner +3 more
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Design of advanced steels by integrated computational materials engineering
Materials Genome Engineering AdvancesThe integrated computational materials engineering (ICME) has achieved great success in accelerating the rational design and deployment of new materials.
Xiao‐Gang Lu, Yanlin He, Weisen Zheng
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Automated Decision-Making with TOPSIS for Water Analysis [PDF]
Журнал інженерних наук, 2022 This paper aims to present a new application of TOPSIS with an automated decision-making process for the analysis of drinking water. For this purpose, the algorithm was modified with a fuzzy disjunction, and the maximal output values were set to one. The
Javanbakht T.
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Concerns with computational protein engineering programmes IPRO and OptMAVEn and metabolic pathway engineering programme optStoic [PDF]
Open Biology, 2021 It has become customary in engineering to require a modelling component in research endeavours. In addition, as the code for these models becomes more byzantine in complexity, it is difficult for reviewers and readers to discern their value and ...
Thomas K. Wood
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Journal of Machine and Computing, 2023 This research explores the integration of Artificial Intelligence (AI), specifically the Recurrent Neural Network (RNN) model, into the optimization of data center cooling systems through Computational Engineering. Utilizing Computational Fluid Dynamics (
S. G +5 more
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