collaborators

5 papers

cs.CE2026

Thermo-Structural Topology Optimization Considering Nonlinear Creep

Stefan Knapik, Aaditya Chandrasekhar, Deepak Sharma +3

Creep is a primary life-limiting mechanism for metallic components operating at high temperature, producing permanent deformation under sustained loads even when stresses remain be…

cs.CE2026

GELATO: Multi-Material Topology Optimization of Programmable Gel-Elastomer Structures

Aaditya Chandrasekhar, Dex Doksoo Lee, Hyunwoo Kwon +1

Gel-elastomer composites, comprising an active swellable hydrogel and a passive elastomer, are a compelling class of programmable material systems (PMS) capable of shape morphing u…

cs.CE2026

MOTO: Topology Optimization for Large Deformations via an Implicit Material Point Method

Rahul Kumar Padhy, Aaditya Chandrasekhar, Krishnan Suresh

The Finite element method (FEM) has long served as the computational backbone for topology optimization (TO). However, for designing structures undergoing large deformations, conve…

cs.CE2025

Data-Driven Topology Optimization for Multiscale Biomimetic Spinodal Design

Shiguang Deng, Doksoo Lee, Aaditya Chandrasekhar +4

Spinodoid architected materials have drawn significant attention due to their unique nature in stochasticity, aperiodicity, and bi-continuity. Compared to classic periodic truss-,…

cs.CE2025

TOBACO: Topology Optimization via Band-limited Coordinate Networks for Compositionally Graded Alloys

Aaditya Chandrasekhar, Stefan Knapik, Deepak Sharma +4

Compositionally Graded Alloys (CGAs) offer unprecedented design flexibility by enabling spatial variations in composition; tailoring material properties to local loading conditions…