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Jai Tiwari, Bashista Kumar Mahanta, Hariharan Krishnaswamy, Sivasrinivasu Devadula & Murugaiyan Amirthalingam. (2023) A Data Driven Approach to Identify Optimal Thermal Parameters for Finite Element Analysis of Electric-Assisted Deformation Processes. Metals and Materials International 29:8, pages 2287-2303.
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Manish Kumar Singh, Chandan Halder, Saurabh Dixit & Snehanshu Pal. (2021) Correlation and Optimization of Phosphorous Content in Liquid Steel with Turndown Temperature and FeO Content in Slag for Steel Making by LD Converter by Implementing Multi-Objective Evolutionary and Genetic Algorithms. Transactions of the Indian Institute of Metals 74:11, pages 2787-2799.
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Krishna Rajan. (2015) Materials Informatics: The Materials “Gene” and Big Data. Annual Review of Materials Research 45:1, pages 153-169.
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Chang Sun Kong & Krishna Rajan. (2012) Rational design of binary halide scintillators via data mining. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 680, pages 145-154.
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Pankaj Rajak, Ujjal Tewary, Sumitesh Das, Baidurya Bhattacharya & Nirupam Chakraborti. (2011) Phases in Zn-coated Fe analyzed through an evolutionary meta-model and multi-objective Genetic Algorithms. Computational Materials Science 50:8, pages 2502-2516.
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Deepak Govindan, Suman Chakraborty & Nirupam Chakraborti. (2010) Analyzing the Fluid Flow in Continuous Casting through Evolutionary Neural Nets and Multi-Objective Genetic Algorithms. steel research international 81:3, pages 197-203.
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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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