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Introduction
Published in Wen L. Li, Weiming Sun, Fourier Methods in Science and Engineering, 2023
The interactions of computer technology, numerical methods, natural science, and engineering have led to a new discipline – computational science. Computational science is devoted to the development of computer technology-based algorithms and software to solve a wide spectrum of scientific and engineering problems. The capacities potentially offered by computer technology and the demands from various industries and scientific sectors have been driving computational science into an unprecedented opportunity of growth. It can be said that the impressive achievements of computational science have already made computer simulations, together with physical experimenting and theoretical analysis, the three pillars of scientific and engineering investigations, and continue to play a critical role in promoting the advancements of science and technology.
Matrices for Engineers
Published in Abul Hasan Siddiqi, Mohamed Al-Lawati, Messaoud Boulbrachene, Modern Engineering Mathematics, 2017
Abul Hasan Siddiqi, Mohamed Al-Lawati, Messaoud Boulbrachene
Computational science, also called scientific computing or scientific computation, is a growing multidisciplinary field that uses advanced computing capabilities to explain complex problems. The scientific computing programme aims to produce highly skilled computational scientists and engineers capable of applying numerical methods and critical evaluation of their results to their field. Scientific computing is introduced clearly by Heath [5].
Computational thinking and constructionism: creating difference equations in spreadsheets
Published in International Journal of Mathematical Education in Science and Technology, 2019
Traditionally, it is customary to differentiate between two research paradigms, theory and experimentation. The theoretician constructs models that are meant to explain existing phenomena and predict future findings, whereas the experimentalist proves or refutes theoretical hypotheses through experiments [1]. The invention of the computer has greatly contributed both to theory and experimentation. Moreover, it has led to the establishment of a new research paradigm, computation, which has recently become growingly popular [1,2]. In computational science, computation is the primary research method [3]. A clear implementation is a simulation-based research, which allows the theoretician and experimentalist to examine scenarios which are out of the reach of theoretical models and/or laboratory apparatuses, such as climatic changes and global warming.
Surface tension data of n-propane, n-octane and n-dodecane from nucleation simulations
Published in Tellus B: Chemical and Physical Meteorology, 2018
Zamantha Nadir Z. Martin, Imee Su Martinez, Ricky B. Nellas
Simulations require extensive calculations of the energy involved in all intra- and intermolecular interactions. Computational resources were supplied by the high-performance computing clusters of the Advanced Science and Technology Institute of the Department of Science and Technology (DOST-ASTI) (48 Intel Xeon CPU E5-2697 v2 @ 2.70 GHz) and the Computational Science Research Center (CSRC) (2 4-core Intel Xeon CPU E5405 @ 2.0 GHz). The nucleation free energy profiles were reiteratively modified until data convergence, that is, when each cluster size ( = 50 molecules) has been sampled at least 10 times.
The Spectrum of Big Data Analytics
Published in Journal of Computer Information Systems, 2021
Tables 1 and 2 demonstrate that the top 10 research fields associating with big data analytics are same based on the mentioned two methods. The top 7 research fields associating with big data analytics are the same, the order is also same using the mentioned two methods. The order of the following three research fields: social media and computing, wireless networking computing, and computational science have been changed into: computational science, wireless networking computing, social media and computing, if the weighted method replaces the set-element-number count method.