Computational, Education, and Materials Science Aspects

Computational, Education, and Materials Science Aspects

Author: Ponnadurai Ramasami

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2022-10-03

Total Pages: 345

ISBN-13: 3110783681

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Chapters collected from “The Virtual Conference on Chemistry and its Applications (VCCA-2021) – Research and Innovations in Chemical Sciences: Paving the Way Forward”. This conference was held in August 2021 and organized by the Computational Chemistry Group of the University of Mauritius. These peer-reviewed chapters offer insights into research on fundamental and applied chemistry with interdisciplinary subject matter.


Computational, Education, and Materials Science Aspects

Computational, Education, and Materials Science Aspects

Author: Ponnadurai Ramasami

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2022-10-03

Total Pages: 254

ISBN-13: 3110783649

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Chapters collected from “The Virtual Conference on Chemistry and its Applications (VCCA-2021) – Research and Innovations in Chemical Sciences: Paving the Way Forward”. This conference was held in August 2021 and organized by the Computational Chemistry Group of the University of Mauritius. These peer-reviewed chapters offer insights into research on fundamental and applied chemistry with interdisciplinary subject matter.


Computational Approaches to Materials Design

Computational Approaches to Materials Design

Author: Shubhabrata Datta

Publisher: Engineering Science Reference

Published: 2016

Total Pages: 0

ISBN-13: 9781522502906

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Brings together empirical research, theoretical concepts, and the various approaches in the design and discovery of new materials. Thois volume highlights optimization tools and soft computing methods, and is ideal for researchers, both in academia and in industrial settings, and practitioners who are interested in the application of computational techniques in materials engineering.


Topics in Computational Materials Science

Topics in Computational Materials Science

Author: Ching-yao Fong

Publisher: World Scientific

Published: 1998

Total Pages: 400

ISBN-13: 9789810231491

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This book describes the state-of-the-art research topics in theoretical materials science. It encompasses the computational methods and techniques which can advance more realistic calculations for understanding the physical principles in new growth methods of optoelectronic materials and related surface problems. These principles also govern the photonic, electronic, and structural properties of materials which are essential for device applications. They will also provide the crucial ingredients for the growth of future novel materials.


Computational Materials Science

Computational Materials Science

Author: June Gunn Lee

Publisher: CRC Press

Published: 2016-11-25

Total Pages: 365

ISBN-13: 1498749755

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This book covers the essentials of Computational Science and gives tools and techniques to solve materials science problems using molecular dynamics (MD) and first-principles methods. The new edition expands upon the density functional theory (DFT) and how the original DFT has advanced to a more accurate level by GGA+U and hybrid-functional methods. It offers 14 new worked examples in the LAMMPS, Quantum Espresso, VASP and MedeA-VASP programs, including computation of stress-strain behavior of Si-CNT composite, mean-squared displacement (MSD) of ZrO2-Y2O3, band structure and phonon spectra of silicon, and Mo-S battery system. It discusses methods once considered too expensive but that are now cost-effective. New examples also include various post-processed results using VESTA, VMD, VTST, and MedeA.


Computational Materials Science

Computational Materials Science

Author: Feng Xiong

Publisher: Trans Tech Publications Ltd

Published: 2011-07-04

Total Pages: 2370

ISBN-13: 3038136115

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The goal of this collection was to gather together up-to-date knowledge from researchers in academia and industry, as well as end-uses, and also give them the opportunity to share ideas, problems and solutions related to the divers aspects of Computational Materials Science, Mechanical, Industrial and Manufacturing Engineering. The result is an up-to-date survey which should be essential reading for those interested in thesetopics. Volume is indexed by Thomson Reuters CPCI-S (WoS).


Computational Approaches to Materials Design: Theoretical and Practical Aspects

Computational Approaches to Materials Design: Theoretical and Practical Aspects

Author: Datta, Shubhabrata

Publisher: IGI Global

Published: 2016-06-16

Total Pages: 492

ISBN-13: 1522502912

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The development of new and superior materials is beneficial within industrial settings, as well as a topic of academic interest. By using computational modeling techniques, the probable application and performance of these materials can be easily evaluated. Computational Approaches to Materials Design: Theoretical and Practical Aspects brings together empirical research, theoretical concepts, and the various approaches in the design and discovery of new materials. Highlighting optimization tools and soft computing methods, this publication is a comprehensive collection for researchers, both in academia and in industrial settings, and practitioners who are interested in the application of computational techniques in the field of materials engineering.


Computational Technologies in Materials Science

Computational Technologies in Materials Science

Author: Taylor & Francis Group

Publisher: CRC Press

Published: 2021-10-07

Total Pages: 240

ISBN-13: 9780367640576

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Advanced materials are essential to economic security and human well-being, with applications in industries aimed at addressing challenges in clean energy, national security, and human welfare. Yet it can take years after initial discovery to move a material to the market. Computational techniques have accelerated the exploration and development of materials, offering the chance to move new materials to market quicker. Computational Technologies in Materials Science addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It explores characterization and fabrication of materials, machine-learning-based models, and computational intelligence for synthesis and identification of materials.