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Materials and Manufacturing Processes Volume 24, 2009 - Issue 2
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Original Articles

Designing Ionic Materials Through Multiobjective Genetic Algorithms

R. Sreevathsan Department of Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, India
,
B. Bhattacharya Department of Civil Engineering, Indian Institute of Technology, Kharagpur, IndiaCorrespondence[email protected]
&
N. Chakraborti Department of Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, India
Pages 162-168 | Received 26 Feb 2008, Accepted 10 Sep 2008, Published online: 20 Jan 2009

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S Datta & P P Chattopadhyay. (2013) Soft computing techniques in advancement of structural metals. International Materials Reviews 58:8, pages 475-504.
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Ambarish Paul & Baidurya Bhattacharya. (2010) DNA Functionalized Carbon Nanotubes for Nonbiological Applications. Materials and Manufacturing Processes 25:9, pages 891-908.
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Articles from other publishers (3)

Huadong Fu, Hongtao Zhang, Changsheng Wang, Wei Yong & Jianxin Xie. (2022) Recent progress in the machine learning-assisted rational design of alloys. International Journal of Minerals, Metallurgy and Materials 29:4, pages 635-644.
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Qian Zhang & Mahdi Mahfouf. (2010) A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels. Engineering Applications of Artificial Intelligence 23:5, pages 660-675.
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Baidurya Bhattacharya, G.R. Dinesh Kumar, Akash Agarwal, Şakir Erkoç, Arunima Singh & Nirupam Chakraborti. (2009) Analyzing Fe–Zn system using molecular dynamics, evolutionary neural nets and multi-objective genetic algorithms. Computational Materials Science 46:4, pages 821-827.
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