All Stories

  1. Design of Biodegradable Magnesium Alloy Using Bi-objective Genetic Programming and Multi-objective Genetic Algorithm in Tandem

    Article • Journal of Materials Engineering and Performance, August 2025, Springer Science + Business Media

    Shubhabrata Datta

  2. Biomechanical Evaluation of Cervical Interbody Fusion Cages for Anterior Cervical Discectomy and Fusion With Variations in Morphology: A Finite Element Analysis

    Article • Biomedical Engineering and Computational Biology, March 2025, SAGE Publications

    Shubhabrata Datta

  3. Informatics-based design of polyaniline-carbon nanotube thermoelectric nanocomposite using ANN and GA

    Article • Functional Composites and Structures, November 2024, Institute of Physics Publishing

    Shubhabrata Datta

  4. Materials Informatics Driven Designing Mg Alloys for Biodegradable Short-Term Implants Using Machine Learning

    Article • JOM, October 2024, Springer Science + Business Media

    Shubhabrata Datta

  5. A Novel Image Artifact Removal Scheme for Phase Percent Quantification of Dual-Phase Steel Microstructures

    Article • JOM, October 2023, Springer Science + Business Media

    Shubhabrata Datta

  6. Prediction model for properties of hot-rolled steel strip: An ICME approach

    Article • International Journal of Computational Materials Science and Engineering, October 2023, World Scientific Pub Co Pte Lt

    Shubhabrata Datta

  7. Designing Ti Alloy for Hard Tissue Implants: A Machine Learning Approach

    Article • Journal of Materials Engineering and Performance, March 2023, Springer Science + Business Media

    Shubhabrata Datta

  8. Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions

    Article • Materials, November 2022, MDPI AG

    Shubhabrata Datta

  9. Natural Computing-Based Designing of Hybrid UHMWPE Composites for Orthopedic Implants

    Article • Applied Sciences, October 2022, MDPI AG

    Shubhabrata Datta

  10. AI-Based Design of Hybrid Ionic Polymer–Metal Composite with CNT and Graphene

    Article • Journal of The Institution of Engineers (India) Series D, January 2022, Springer Science + Business Media

    Shubhabrata Datta

  11. Machine Learning in Industry

    Article • January 2022, Springer Science + Business Media

    Shubhabrata Datta

  12. Computational intelligence based design of biomaterials

    Article • Computer Methods in Material Science, January 2022, AGHU University of Science and Technology Press

    Shubhabrata Datta

  13. Designing Mg alloys – A machine learning approach

    Article • Materials Today Proceedings, January 2022, Elsevier

    Shubhabrata Datta

  14. Fundamentals of Machine Learning

    Article • July 2021, Springer Science + Business Media

    Shubhabrata Datta

  15. Thermal and viscoelastic behaviour of graphene nanoplatelets/flax fibre/epoxy composites

    Article • Plastics Rubber and Composites Macromolecular Engineering, January 2021, SAGE Publications

    Shubhabrata Datta

  16. Design of Alumina Reinforced Aluminium Alloy Composites with Improved Tribo-Mechanical Properties: A Machine Learning Approach

    Article • Transactions of the Indian Institute of Metals, October 2020, Springer Science + Business Media

    Shubhabrata Datta

  17. Salute to the genetic tambourine man

    Article • Materials and Manufacturing Processes, April 2020, Taylor & Francis

    Shubhabrata Datta

  18. Effect of graphene on the properties of flax fabric reinforced epoxy composites

    Article • Advanced Composite Materials, December 2019, Taylor & Francis

    Shubhabrata Datta

  19. Design of polymer composites using artificial intelligence

    Article • Journal of Composite Materials, July 2019, SAGE Publications

    Shubhabrata Datta

  20. Data-driven design of ternary alloy catalysts for enhanced oxide-based gas sensors’ performance

    Article • Computational Materials Science, April 2019, Elsevier

    Shubhabrata Datta

  21. MCDM towards knowledge incorporation in ANN models for phase transformation in continuous cooling of steel

    Article • Multidiscipline Modeling in Materials and Structures, January 2019, Emerald

    Shubhabrata Datta

  22. Optimization in Industry

    Article • January 2019, Springer Science + Business Media

    Shubhabrata Datta

  23. Intelligent design optimization of age-hardenable Al alloys

    Article • Computational Materials Science, October 2018, Elsevier

    Shubhabrata Datta

  24. Materials Design Using Computational Intelligence Techniques Shubhabrata Datta

    Article • MRS Bulletin, October 2017, Springer Science + Business Media

    Shubhabrata Datta

  25. Incorporation of prior knowledge in neural network model for continuous cooling of steel using genetic algorithm

    Article • Applied Soft Computing, September 2017, Elsevier

    Shubhabrata Datta

  26. Imprecise Knowledge and Fuzzy Modeling in Materials Domain

    Article • January 2017, IGI Global

    Shubhabrata Datta

  27. New training strategies for neural networks with application to quaternary Al–Mg–Sc–Cr alloy design problems

    Article • Applied Soft Computing, September 2016, Elsevier

    Shubhabrata Datta

  28. Computational intelligence based design of age-hardenable aluminium alloys for different temperature regimes

    Article • Materials & Design, February 2016, Elsevier

    Shubhabrata Datta

  29. Imprecise knowledge based design and development of titanium alloys for prosthetic applications

    Article • Journal of the Mechanical Behavior of Biomedical Materials, January 2016, Elsevier

    Shubhabrata Datta

  30. Computational design and development of novel Al-Mg-Sc-Cr alloy

    Article • Multidiscipline Modeling in Materials and Structures, October 2015, Emerald

    Shubhabrata Datta

  31. Computational intelligence based designing of microalloyed pipeline steel

    Article • Computational Materials Science, June 2015, Elsevier

    Shubhabrata Datta

  32. In silico Design of High Strength Aluminium Alloy Using Multi-objective GA

    Article • January 2015, Springer Science + Business Media

    Shubhabrata Datta

  33. Effect of prior cold work on tensile properties of Al–6Mg alloy with minor scandium additions

    Article • Canadian Metallurgical Quarterly, June 2014, Taylor & Francis

    Shubhabrata Datta

  34. Informatics based design of prosthetic Ti alloys

    Article • Materials Technology, December 2013, Taylor & Francis

    Shubhabrata Datta

  35. Soft computing techniques in advancement of structural metals

    Article • International Materials Reviews, November 2013, Taylor & Francis

    Dr Shubhabrata Datta, Shubhabrata Datta

  36. Segmentation of dual phase steel micrograph: An automated approach

    Article • Measurement, October 2013, Elsevier

    Dr Shubhabrata Datta, Shubhabrata Datta

  37. Optimal Design of Titanium Alloys for Prosthetic Applications Using a Multiobjective Evolutionary Algorithm

    Article • Materials and Manufacturing Processes, July 2013, Taylor & Francis

    Dr Shubhabrata Datta, Shubhabrata Datta

  38. Genetic Algorithm–Based Design and Development of Particle-Reinforced Silicone Rubber for Soft Tooling Process

    Article • Materials and Manufacturing Processes, July 2013, Taylor & Francis

    Shubhabrata Datta

  39. Optimization of mechanical property and shape recovery behavior of Ti-(∼49 at.%) Ni alloy using artificial neural network and genetic algorithm

    Article • Materials & Design (1980-2015), April 2013, Elsevier

    Dr Shubhabrata Datta, Shubhabrata Datta

  40. A genetic fuzzy based modeling of effective thermal conductivity for polymer composites

    Article • Journal of Intelligent & Fuzzy Systems Applications in Engineering and Technology, January 2013, SAGE Publications

    Shubhabrata Datta

  41. Understanding the Shape-Memory Behavior in Ti-(~49 At. Pct) Ni Alloy by Nanoindentation Measurement

    Article • Metallurgical and Materials Transactions A, November 2012, Springer Science + Business Media

    Shubhabrata Datta

  42. Developing an unsupervised classification algorithm for characterization of steel properties

    Article • International Journal of Quality & Reliability Management, April 2012, Emerald

    Dr Shubhabrata Datta, Shubhabrata Datta

  43. Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms

    Article • Applied Soft Computing, January 2012, Elsevier

    Dr Shubhabrata Datta, Shubhabrata Datta

  44. Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms

    Article • Soft Computing, December 2011, Springer Science + Business Media

    Dr Shubhabrata Datta, Shubhabrata Datta

  45. Effective properties of particle reinforced polymeric mould material towards reducing cooling time in soft tooling process

    Article • Journal of Applied Polymer Science, November 2011, Wiley

    Shubhabrata Datta

  46. Experimental investigation on equivalent properties of particle reinforced silicone rubber: Improvement of soft tooling process

    Article • Journal of Reinforced Plastics and Composites, September 2011, SAGE Publications

    Shubhabrata Datta

  47. STUDY OF NANOMECHANICAL PROPERTIES OF Ni-Ti SHAPE MEMORY ALLOY BY INSTRUMENTED INDENTATION TECHNIQUE

    Article • International Journal of Nanoscience, August 2011, World Scientific Pub Co Pte Lt

    Dr Shubhabrata Datta, Shubhabrata Datta

  48. Dynamic discreduction using Rough Sets

    Article • Applied Soft Computing, July 2011, Elsevier

    Shubhabrata Datta

  49. Studies on effective thermal conductivity of particle-reinforced polymeric flexible mould material composites

    Article • Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications, June 2011, SAGE Publications

    Shubhabrata Datta

  50. Designing cold rolled IF steel sheets with optimized tensile properties using ANN and GA

    Article • Computational Materials Science, June 2011, Elsevier

    Dr Shubhabrata Datta, Shubhabrata Datta

  51. Investigating the Role of Nonmetallic Fillers in Particulate-Reinforced Mold Composites using EAs

    Article • Materials and Manufacturing Processes, April 2011, Taylor & Francis

    Dr Shubhabrata Datta, Shubhabrata Datta

  52. Phase extraction and boundary removal in dual phase steel micrographs

    Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Shubhabrata Datta

  53. Classifying tensile strength of HSLA steel: an investigation through neural networks using Mahalanobis Distance

    Article • International Journal of Mechatronics and Manufacturing Systems, January 2010, Inderscience Publishers

    Dr Shubhabrata Datta, Shubhabrata Datta

  54. Multi-Objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process

    Article • January 2010, Springer Science + Business Media

    Dr Shubhabrata Datta, Shubhabrata Datta

  55. Developing rules bases on the influence of welding parameters in FCAW process from ANN model

    Article • International Journal of Mechatronics and Manufacturing Systems, January 2010, Inderscience Publishers

    Shubhabrata Datta

  56. Effect of quaternary zirconium addition on mechanical properties of Al-6Mg-Sc (0.2-0.6%) alloy studied by ANN technique

    Article • International Journal of Mechatronics and Manufacturing Systems, January 2010, Inderscience Publishers

    Shubhabrata Datta

  57. Genetic algorithm based optimization for multi-physical properties of HSLA steel through hybridization of neural network and desirability function

    Article • Computational Materials Science, March 2009, Elsevier

    Shubhabrata Datta

  58. Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels

    Article • Computational Materials Science, March 2009, Elsevier

    Shubhabrata Datta

  59. Effect of copper and microalloying (Ti, B) addition on tensile properties of HSLA steels predicted by ANN technique

    Article • Ironmaking & Steelmaking Processes Products and Applications, February 2009, Taylor & Francis

    Shubhabrata Datta

  60. Editorial: The Remaining Articles of the Kolkata Conference

    Article • Materials and Manufacturing Processes, January 2009, Taylor & Francis

    Shubhabrata Datta

  61. Rough Set Approach to Predict the Strength and Ductility of TRIP Steel

    Article • Materials and Manufacturing Processes, January 2009, Taylor & Francis

    Shubhabrata Datta

  62. Simulating Time Temperature Transformation Diagram of Steel Using Artificial Neural Network

    Article • Materials and Manufacturing Processes, January 2009, Taylor & Francis

    Shubhabrata Datta

  63. Artificial Neural Network (ANN)-Based Model for In Situ Prediction of Porosity of Nanostructured Porous Silicon

    Article • Materials and Manufacturing Processes, December 2008, Taylor & Francis

    Shubhabrata Datta

  64. Composition–Processing–Property Correlation of Cold-Rolled IF Steel Sheets Using Neural Network

    Article • Materials and Manufacturing Processes, December 2008, Taylor & Francis

    Shubhabrata Datta

  65. Designing the Multiphase Microstructure of Steel for Optimal TRIP Effect: A Multiobjective Genetic Algorithm Based Approach

    Article • Materials and Manufacturing Processes, December 2008, Taylor & Francis

    Shubhabrata Datta

  66. Editorial: The Kolkata Conference

    Article • Materials and Manufacturing Processes, December 2008, Taylor & Francis

    Shubhabrata Datta

  67. Effect of Scandium Additions on the Tensile Properties of Cast Al-6Mg alloys

    Article • Journal of Materials Engineering and Performance, December 2008, Springer Science + Business Media

    Shubhabrata Datta

  68. Effect of scandium on the microstructure and ageing behaviour of cast Al–6Mg alloy

    Article • Materials Characterization, November 2008, Elsevier

    Shubhabrata Datta

  69. Modeling the properties of TRIP steel using AFIS: A distributed approach

    Article • Computational Materials Science, September 2008, Elsevier

    Shubhabrata Datta

  70. A New Model for Multilayer Ceramic Composites

    Article • Materials and Manufacturing Processes, June 2008, Taylor & Francis

    Dr Arjun Dey, Shubhabrata Datta

  71. Identification of Factors Governing Mechanical Properties of TRIP-Aided Steel Using Genetic Algorithms and Neural Networks

    Article • Materials and Manufacturing Processes, January 2008, Taylor & Francis

    Dr Shubhabrata Datta, Shubhabrata Datta

  72. Design of the Directly Air-cooled Pearlite-free Multiphase Steel from CCT Diagrams Developed Using ANN and Dilatometric Methods

    Article • ISIJ International, January 2008, Iron and Steel Institute of Japan

    Shubhabrata Datta

  73. Age Hardening Behavior of Wrought Al–Mg–Sc Alloy

    Article • Materials and Manufacturing Processes, December 2007, Taylor & Francis

    Shubhabrata Datta

  74. Genetic Algorithms in Optimization of Strength and Ductility of Low-Carbon Steels

    Article • Materials and Manufacturing Processes, June 2007, Taylor & Francis

    Shubhabrata Datta

  75. Exploring the non-linearity in empirical modelling of a steel system using statistical and neural network models

    Article • International Journal of Production Research, February 2007, Taylor & Francis

    Dr Shubhabrata Datta, Shubhabrata Datta

  76. Exploring the effects of chemical composition in hot rolled steel product using Mahalanobis distance scale under Mahalanobis–Taguchi system

    Article • Computational Materials Science, February 2007, Elsevier

    Dr Shubhabrata Datta, Shubhabrata Datta

  77. Designing High Strength Multi-phase Steel for Improved Strength–Ductility Balance Using Neural Networks and Multi-objective Genetic Algorithms

    Article • ISIJ International, January 2007, Iron and Steel Institute of Japan

    Dr Shubhabrata Datta, Shubhabrata Datta

  78. A Comparative Study for Modeling of Hot-Rolled Steel Plate Classification Using a Statistical Approach and Neural-Net Systems

    Article • Materials and Manufacturing Processes, December 2006, Taylor & Francis

    Dr Shubhabrata Datta, Shubhabrata Datta

  79. Mapping the input–output relationship in HSLA steels through expert neural network

    Article • Materials Science and Engineering A, March 2006, Elsevier

    Shubhabrata Datta

  80. Fuzzy Modeling of Strength–Composition–Process Parameter Relationships of HSLA Steels

    Article • Materials and Manufacturing Processes, September 2005, Taylor & Francis

    Shubhabrata Datta

  81. On the degradation of shape memory effect in trace Ti-added Cu–Zn–Al alloy

    Article • Materials Science and Engineering A, February 2005, Elsevier

    Shubhabrata Datta

  82. Modeling the Effect of Copper on Hardness of Microalloyed Dual Phase Steel through Neural Network and Neuro-fuzzy Systems

    Article • ISIJ International, January 2005, Iron and Steel Institute of Japan

    Shubhabrata Datta

  83. Study on the effect of trace zirconium addition on the microstructural evolution in Cu–Zn–Al shape memory alloy

    Article • Materials Science and Engineering A, January 2005, Elsevier

    Shubhabrata Datta

  84. Optimizing parameters of supervised learning techniques (ANN) for precise mapping of the input–output relationship in TMCP steels

    Article • Scandinavian Journal of Metallurgy, December 2004, Wiley

    Dr Shubhabrata Datta, Shubhabrata Datta

  85. Beneficial effect of scandium addition on the corrosion behavior of Al–Si–Mg–SiCp metal matrix composites

    Article • Composites Part A Applied Science and Manufacturing, September 2004, Elsevier

    Shubhabrata Datta

  86. Effect of thermomechanical processing and aging on microstructure and precipitation hardening in low carbon Cu–B steel

    Article • Ironmaking & Steelmaking Processes Products and Applications, August 2004, SAGE Publications

    Shubhabrata Datta

  87. On the formation of V-phase in mechanically alloyed AlSiMg–SiCp metal matrix composites with trace scandium additions

    Article • Materials Science and Engineering A, August 2002, Elsevier

    Shubhabrata Datta

  88. Two way shape memory loss in CuZnAl alloy

    Article • Materials Science and Engineering A, February 2001, Elsevier

    Shubhabrata Datta

  89. Effect of Cold Work and Trace Rare-Earth Additions on the Aging Behavior of Al–Cr Alloys Containing Zirconium

    Article • Materials Characterization, March 2000, Elsevier

    Shubhabrata Datta