68 citations · 72 across the 4 of their papers we have counts for
4 papers
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…
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…
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…