Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design

A Sharma, T Mukhopadhyay, SM Rangappa… - … Methods in Engineering, 2022 - Springer
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

Machine learning for property prediction and optimization of polymeric nanocomposites: a state-of-the-art

E Champa-Bujaico, P García-Díaz… - International Journal of …, 2022 - mdpi.com
Recently, the field of polymer nanocomposites has been an area of high scientific and
industrial attention due to noteworthy improvements attained in these materials, arising from …

Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping

KK Gupta, T Mukhopadhyay, A Roy, L Roy… - Journal of Physics and …, 2021 - Elsevier
Despite the tremendous capabilities of Molecular dynamics (MD) simulations, they suffer
from the limitation of computationally intensive and time-consuming nature. This hinders the …

Viscoelastic free vibration analysis of in-plane functionally graded orthotropic plates integrated with piezoelectric sensors: Time-dependent 3D analytical solutions

A Singh, S Naskar, P Kumari… - Mechanical Systems and …, 2023 - Elsevier
This paper proposes an accurate three-dimensional framework for elastic and viscoelastic
free vibration investigation of in-plane functionally graded (IPFG) orthotropic rectangular …

A review on computational intelligence methods for modelling of light weight composite materials

N Amor, MT Noman, M Petru, N Sebastian… - Applied Soft …, 2023 - Elsevier
Light weight composite materials (LWCM) have gained tremendous attention, thanks to their
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …

Stochastic buckling analysis of sandwich plates: the importance of higher order modes

RR Kumar, T Mukhopadhyay, KM Pandey… - International Journal of …, 2019 - Elsevier
The stochastic buckling behaviour of sandwich plates is presented considering uncertain
system parameters (material and geometric uncertainty). The higher-order-zigzag theory …

A semi-analytical stochastic buckling quantification of porous functionally graded plates

MC Trinh, T Mukhopadhyay, SE Kim - Aerospace Science and Technology, 2020 - Elsevier
This paper introduces a semi-analytical approach integrated with Monte Carlo simulation for
stochastic buckling analyses of porous functionally graded plates arising due to the …

Machine learning based stochastic dynamic analysis of functionally graded shells

T Mukhopadhyay, PK Karsh, B Basu, S Dey - Composite Structures, 2020 - Elsevier
This paper presents stochastic dynamic characterization of functionally graded shells based
on an efficient Support Vector Machine assisted finite element (FE) approach. Different shell …

Nonlinear elasticity tailoring and failure mode manipulation of functionally graded honeycombs under large deformation

S Ghuku, S Sahoo, T Mukhopadhyay - International Journal of Non-Linear …, 2025 - Elsevier
Abstract Design of lattice metamaterials with tailored mechanical properties at a relatively
higher (macro) length scale by architecting lower (micro) length scale geometric and …

Probing the stochastic fracture behavior of twisted bilayer graphene: Efficient ANN based molecular dynamics simulations for complete probabilistic characterization

KK Gupta, A Roy, T Mukhopadhyay, L Roy… - Materials Today …, 2022 - Elsevier
The present article outlines a probabilistic investigation of the uniaxial tensile behaviour of
twisted bilayer graphene (tBLG) structures. In this regard, the twist angle (θ) and temperature …