S. Datta

S. Datta, N. Mukherjee, Arijit Sinha, 2022, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering.

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

M. K. Banerjee, S. Datta, A. K. Bhuniya, 2005 .

Design of the ultrahigh molecular weight polyethylene composites with multiple nanoparticles: An artificial intelligence approach

S. Datta, A. Vinoth, 2020, Journal of Composite Materials.

A comparative study for modeling of hot-rolled steel plate classification using a statistical approach and neural-net systems

Shubhabrata Datta, Prasun Das, Bidyut Kumar Bhattacharyay, 2006 .

Mechanical Properties of Copper-Added Ultra-fine Bainitic Steel

V. Kuokkala, S. Datta, P. Chattopadhyay, 2018 .

An automated morphological classification of ferrite-martensite dual-phase microstructures

Shubhabrata Datta, Sanjoy Kumar Saha, Siddhartha Banerjee, 2019, Measurement.

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

Shubhabrata Datta, Itishree Mohanty, Debashish Bhattacharjee, 2011 .

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

Subhas Ganguly, Shubhabrata Datta, N. Chakraborti, 2009 .

Statistics and Data Mining Concepts in Materials Design

Shubhabrata Datta, S. Datta, 2016 .

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

Shubhabrata Datta, Arijit Sinha, Partha Chattopadhyay, 2013 .

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

S. Datta, M. Kamaraj, E. A. Dodson, 2020 .

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

S. Datta, M. Kamaraj, E. A. Dodson, 2021 .

Computational intelligence-based design of lubricant with vegetable oil blend and various nano friction modifiers

Shubhabrata Datta, Shubrajit Bhaumik, S. Datta, 2019, Fuel.

Effect of cold work and trace rare-earth additions on the aging behavior of Al-Cr alloys containing zirconium

M. K. Banerjee, S. Datta, 2000 .

Design of patient specific basal dental implant using Finite Element method and Artificial Neural Network technique

S. Datta, A. Roychowdhury, S. Majumder, 2022, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

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

Kalyanmoy Deb, Shubhabrata Datta, Juhani Orkas, 2013, J. Intell. Fuzzy Syst..

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

Kalyanmoy Deb, Subhas Ganguly, Shubhabrata Datta, 2012, Appl. Soft Comput..

Integrated nutrient management for enhancing nitrogen use efficiency.

B. S. Dwivedi, A. Dey, S. Datta, 2016 .

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

Shubhabrata Datta, Mahdi Mahfouf, Qian Zhang, 2013 .

Fracture Toughness of Al-Cr Alloys With Minor Additions

M. K. Banerjee, S. Datta, 2000 .

Deterministic Approach for Microstructurally Engineered Formable Steels

Shubhabrata Datta, G. Anand, Paramita Chattopadhyay, 2013 .

Using Computational Intelligence Techniques in Tandem

Shubhabrata Datta, S. Datta, 2016 .

Improvement of Soft Tooling Process Through Particle Reinforcement with Polyurethane Mould

S. Datta, A. Nandi, 2011 .

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

Kalyanmoy Deb, Shubhabrata Datta, Arup Kumar Nandi, 2011 .

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

S. Datta, A. Raj, 2023, Journal of Materials Engineering and Performance.

Materials Design Using Computational Intelligence Techniques

Shubhabrata Datta, S. Datta, 2016 .

Artificial intelligence based design of multiple friction modifiers dispersed castor oil and evaluating its tribological properties

S. Datta, S. Dey, S. Bhaumik, 2019, Tribology International.

Design and analysis of hybrid composite using the finite element method

S. Datta, Arnab Ghosh, Sanchari Saha, 2020, IOP Conference Series: Materials Science and Engineering.

An Informatics Based Approach to Reduce the Grain Size of Cast Hadfield Steel

S. Datta, S. Dey, S. Pathak, 2015, Journal of The Institution of Engineers (India): Series D.

Design of laminated composite plate for optimum ballistic impact resistance: A finite element approach

S. Datta, K. Jegadeesan, 2022, Materials Today: Proceedings.

The effect of bush material property on the metal-polymer contact stress in knee megaprosthesis – An in silico study

S. Datta, Sandipan Roy, Akhil Minu Ajayan, 2022, Materials Today: Proceedings.

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

S. Datta, S. Dey, D. Das, 2020, Transactions of the Indian Institute of Metals.

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

Subhas Ganguly, Shubhabrata Datta, Frank Pettersson, 2007 .

Segmentation of dual phase steel micrograph: An automated approach

Shubhabrata Datta, Sanjoy Kumar Saha, Siddhartha Banerjee, 2013 .

Conventional Approaches to Materials Design

S. Datta, 2016 .

Evolutionary Algorithms for Designing Materials

Shubhabrata Datta, S. Datta, 2016 .

Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions

S. Datta, S. Bhaumik, V. Paleu, 2022, Materials.

Analyses of Tribological Properties of Castor Oil With Various Carbonaceous Micro- and Nano-Friction Modifiers

S. Datta, S. Bhaumik, S. Pathak, 2017 .

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

Shubhabrata Datta, Swati Dey, Partha Dey, 2016 .

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

Subhas Ganguly, Shubhabrata Datta, Partha Chattopadhyay, 2009 .

Intelligent design optimization of age-hardenable Al alloys

Shubhabrata Datta, Swati Dey, Susanta Kumar Pradhan, 2018, Computational Materials Science.

Dynamic discreduction using Rough Sets

Shubhabrata Datta, J. Sil, S. Dey, 2011, Appl. Soft Comput..

Design of patient specific dental implant using FE analysis and computational intelligence techniques

Shubhabrata Datta, Swati Dey, Sandipan Roy, 2018, Appl. Soft Comput..

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

Shubhabrata Datta, Gautam Majumdar, S. K. Ghosh, 2010 .

Stress analysis of different types of cages in cervical vertebrae: a finite element study

S. Datta, Sandipan Roy, D. Raja, 2020, IOP Conference Series: Materials Science and Engineering.

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

Subhas Ganguly, Shubhabrata Datta, Partha P. Chattopadhyay, 2016, Appl. Soft Comput..

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

Shubhabrata Datta, M. K. Banerjee, M. K. Banerjee, 2006 .

Optimization of Mechanical Characteristics of UHMWPE Composites Using Computational Intelligence

S. Datta, A. Vinoth, 2019, Lecture Notes in Mechanical Engineering.

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

M. K. Banerjee, S. Datta, P. Chattopadhyay, 2005 .

Two way shape memory loss in CuZnAl alloy

M. K. Banerjee, S. Datta, A. Bhunya, 2001 .

Computational intelligence based design of biomaterials

S. Datta, A. Vinoth, 2022, Computer Methods in Material Science.

Fundamentals of Machine Learning

Shubhabrata Datta, A. Vinoth, S. Datta, 2021, Management and Industrial Engineering.

Mining the Genesis of Sliver Defects Through Rough and Fuzzy Set Theories

Shubhabrata Datta, Itishree Mohanty, Partha Dey, 2021, Management and Industrial Engineering.

Design of Multi-material Model for Wire Electro-discharge Machining of SS304 and SS316 Using Machine Learning and MCDM Techniques

Manidipto Mukherjee, S. Datta, S. Biswas, 2022, Arabian Journal for Science and Engineering.

Developing an unsupervised classification algorithm for characterization of steel properties

Shubhabrata Datta, Prasun Das, P. Das, 2012 .

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

S. Datta, P. Chattopadhyay, Arijit Sinha, 2011 .

Impact of Particle Addition and Aging on the Friction Stir Processed Magnesium Matrix Surface Composite Properties

Manidipto Mukherjee, S. Datta, D. Das, 2023, JOM.

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

Nirupam Chakraborti, Subhas Ganguly, Shubhabrata Datta, 2008 .

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

Subhas Ganguly, Shubhabrata Datta, Prasun Das, 2009 .