68 citations · 77 across the 15 of their papers we have counts for
15 papers
PILL-CoDe: Inverse Design of Polypills via Automatic Differentiation for Prescribed Drug-Release Kinetics
Rahul Kumar Padhy, Aaditya Chandrasekhar, Amir M. Mirzendehdel
Polypills are single oral dosage forms that combine multiple active pharmaceutical ingredients and excipients, enabling fixed-dose combination therapies, coordinated multi-phase re…
TOMATOES: Topology and Material Optimization for Latent Heat Thermal Energy Storage Devices
Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar
Latent heat thermal energy storage (LHTES) systems are compelling candidates for energy storage, primarily owing to their high storage density. Improving their performance is cruci…
TOFLUX: A Differentiable Topology Optimization Framework for Multiphysics Fluidic Problems
Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar
Topology Optimization (TO) holds the promise of designing next-generation compact and efficient fluidic devices. However, the inherent complexity of fluid-based TO systems, charact…
TreeTOp: Topology Optimization using Constructive Solid Geometry Trees
Rahul Kumar Padhy, Pramod Thombre, Krishnan Suresh +1
Feature-mapping methods for topology optimization (FMTO) facilitate direct geometry extraction by leveraging high-level geometric descriptions of the designs. However, FMTO often r…
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…
FluTO: Graded Multiscale Fluid Topology Optimization using Neural Networks
Rahul Kumar Padhy, Aaditya Chandrasekhar, Krishnan Suresh
Fluid-flow devices with low dissipation, but high contact area, are of importance in many applications. A well-known strategy to design such devices is multi-scale topology optimiz…
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…
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network
Aaditya Chandrasekhar, Amir Mirzendehdel, Morad Behandish +1
In this paper, we present a topology optimization (TO) framework to simultaneously optimize the matrix topology and fiber distribution of functionally graded continuous fiber-reinf…
GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks
Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh
Multiscale topology optimization (M-TO) entails generating an optimal global topology, and an optimal set of microstructures at a smaller scale, for a physics-constrained problem.…
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…
Length Scale Control in Topology Optimization using Fourier Enhanced Neural Networks
Aaditya Chandrasekhar, Krishnan Suresh
Length scale control is imposed in topology optimization (TO) to make designs amenable to manufacturing and other functional requirements. Broadly, there are two types of length-sc…
AuTO: A Framework for Automatic differentiation in Topology Optimization
Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh
A critical step in topology optimization (TO) is finding sensitivities. Manual derivation and implementation of the sensitivities can be quite laborious and error-prone, especially…