6 papers
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…
Hybrid-plasticity Photonic Synapses Enabling Hardware-Level Neural Reuse
Chenlei Li, Tao Shu, Cunyu Shi +12
Biological intelligence is distinguished by neural reuse, the capacity to preserve established learning memory while repurposing it for new tasks and dynamic environments. Bringing…
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…
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-,…
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…
Data-Driven Multiscale Topology Optimization of Soft Functionally Graded Materials with Large Deformations
Shiguang Deng, Horacio D. Espinosa, Wei Chen
Functionally Graded Materials (FGMs) made of soft constituents have emerged as promising material-structure systems in potential applications across many engineering disciplines, s…