most citedA dual physics-informed neural network for topology optimization

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.comp-ph2025

Accelerating metamaterial topology optimization using deep super-resolution networks

Ajendra Singh, Shubham Saurabh, Abhinav Gupta +1

Designing metamaterials for extreme mechanical behavior involves the optimal selection of design parameters. However, identifying these optimal parameters through topology optimiza…

physics.comp-ph2024★ 2 cited

A dual physics-informed neural network for topology optimization

Ajendra Singh, Souvik Chakraborty, Rajib Chowdhury

We propose a novel dual physics-informed neural network for topology optimization (DPNN-TO), which merges physics-informed neural networks (PINNs) with the traditional SIMP-based t…