3 citations · 5 across the 6 of their papers we have counts for
6 papers
PhoTOS: Topology Optimization of Photonic Components using a Shape Library
Rahul Kumar Padhy, Aaditya Chandrasekhar
Topology Optimization (TO) holds the promise of designing next-generation compact and efficient photonic components. However, ensuring the optimized designs comply with fabrication…
VoroTO: Multiscale Topology Optimization of Voronoi Structures using Surrogate Neural Networks
Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar
Cellular structures found in nature exhibit remarkable properties such as high strength, high energy absorption, excellent thermal/acoustic insulation, and fluid transfusion. Many…
TOMAS: Topology Optimization of Multiscale Fluid Devices using Variational Autoencoders and Super-Shapes
Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar
In this paper, we present a framework for multiscale topology optimization of fluid-flow devices. The objective is to minimize dissipated power, subject to a desired contact-area.…
PolyTO: Structural Topology Optimization using Convex Polygons
Aaditya Chandrasekhar
In this paper, we propose a topology optimization (TO) framework where the design is parameterized by a set of convex polygons. Extending feature mapping methods in TO, the represe…
A Generalized Framework for Microstructural Optimization using Neural Networks
Saketh Sridhara, Aaditya Chandrasekhar, Krishnan Suresh
Microstructures, i.e., architected materials, are designed today, typically, by maximizing an objective, such as bulk modulus, subject to a volume constraint. However, in many appl…
Integrating Material Selection with Design Optimization via Neural Networks
Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh
The engineering design process often entails optimizing the underlying geometry while simultaneously selecting a suitable material. For a certain class of simple problems, the two…