3 papers
cs.CE2025
TOaCNN: Adaptive Convolutional Neural Network for Multidisciplinary Topology Optimization
Khaish Singh Chadha, Prabhat Kumar
This paper presents an adaptive convolutional neural network (CNN) architecture that can automate diverse topology optimization (TO) problems having different underlying physics. T…
cs.CE2025
GO-GAN: Geometry Optimization Generative Adversarial Network for Achieving Optimized Structures with Targeted Physical Properties
A. Padmaprabhan, Shriram Hari, Nived Philip Thomas +4
This paper presents GO-GAN, a novel Generative Adversarial Network (GAN) architecture for geometry optimization (GO), specifically to generate structures based on user-specified in…
cs.CE2024
PyTOaCNN: Topology optimization using an adaptive convolutional neural network in Python
Khaish Singh Chadha, Prabhat Kumar
This paper introduces an adaptive convolutional neural network (CNN) architecture capable of automating various topology optimization (TO) problems with diverse underlying physics.…