3 papers
physics.comp-ph2026
Integrating Gaussian Random Functions with Genetic Algorithms for the Optimization of Functionally Graded Lattice Structures
Piyush Agrawal, Manish Agrawal
The properties of lattice-based structures can be enhanced by varying their geometric parameters in a graded manner, and the gradation can be tailored to extremize a particular obj…
cs.CE2024
Efficient FGM optimization with a novel design space and DeepONet
Piyush Agrawal, Ihina Mahajan, Shivam Choubey +1
This manuscript proposes an optimization framework to find the tailor-made functionally graded material (FGM) profiles for thermoelastic applications. This optimization framework c…
cs.LG2024
A novel data generation scheme for surrogate modelling with deep operator networks
Shivam Choubey, Birupaksha Pal, Manish Agrawal
Operator-based neural network architectures such as DeepONets have emerged as a promising tool for the surrogate modeling of physical systems. In general, towards operator surrogat…