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Manish Agrawal
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A hybrid finite element formulation for large-deformation contact mechanics
M Agrawal, A Nandy, CS Jog
Computer Methods in Applied Mechanics and Engineering 356, 407-434, 2019
142019
Monolithic formulation of electromechanical systems within the context of hybrid finite elements
M Agrawal, CS Jog
Computational Mechanics 59, 443-457, 2017
102017
The time finite element as a robust general scheme for solving nonlinear dynamic equations including chaotic systems
CS Jog, M Agrawal, A Nandy
Applied Mathematics and Computation 279, 43-61, 2016
102016
Deep neural networks based predictive-generative framework with data augmentation for designing composite materials
S Chakravarty, P Garg, A Kumar, PK Agnihotri, M Agrawal
Modelling and Simulation in Materials Science and Engineering 30 (7), 075003, 2022
82022
Hellinger–Reissner principle based stress–displacement formulation for three-dimensional isogeometric analysis in linear elasticity
DS Bombarde, M Agrawal, SS Gautam, A Nandy
Computer Methods in Applied Mechanics and Engineering 394, 114920, 2022
82022
A quadratic time finite element method for nonlinear elastodynamics within the context of hybrid finite elements
M Agrawal, CS Jog
Applied Mathematics and Computation 305, 203-220, 2017
52017
On including manufacturing constraints in the topology optimization of surface-micromachined structures
M Agrawal, G Ananthasuresh
7th World Congress on Structural and Multidisciplinary Optimization, 2256-2265, 2007
52007
A monolithic, ALE finite-element-based strategy for partially submerged solids in an incompressible fluid flow using the mortar method
S Dutta, M Agrawal, CS Jog
Journal of Fluids and Structures 115, 103780, 2022
12022
A novel data generation scheme for surrogate modelling with deep operator networks
S Choubey, B Pal, M Agrawal
arXiv preprint arXiv:2402.16903, 2024
2024
Development of quadratic enhanced assumed strain elements for three-dimensional linear elasticity
DS Bombarde, M Agrawal, SS Gautam, A Nandy
Computers & Structures 291, 107217, 2024
2024
Controlled coalescence-induced droplet jumping on flexible superhydrophobic substrates
GC Pal, S SS, M Agarwal, CS Sharma
arXiv preprint arXiv:2304.05330, 2023
2023
Deep neural networks based predictive-generative framework for designing composite materials
S Chakravarty, P Garg, A Kumar, M Agrawal, PK Agnihotri
arXiv preprint arXiv:2105.01384, 2021
2021
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