activity
20162026
most citedStochastic Sampling for Structural Topology Optimization with Many Load Cases: Density-Based and Ground Structure Approaches

33 citations · 34 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CE2026

Impedance-Guided Programmable Transmission of Localized Deformation in Modular Soft Metamaterials

Weiyun Xu, Daewon Hong, Zhi Zhao +2

Soft metamaterials provide a promising platform for robotics, biomedical devices, and flexible electronics. The localized mechanical responses by nonuniform excitation are ubiquito…

cond-mat.mtrl-sci2026

Boosting lattice polarization Mixing the perspectives of geometry optimization and cell-augmentation

Pegah Azizi, Rahul Dev Kundu, Xiaojia Shelly Zhang +1

Topologically polarized mechanical metamaterials enjoy a special built-in asymmetry that manifests as a preferred localization of edge states on selected edges. While this property…

cond-mat.mtrl-sci2025

Lattice Materials with Topological States Optimized On-Demand

Pegah Azizi, Rahul Dev Kundu, Weichen Li +3

Topological states of matter, first discovered in quantum systems, have opened new avenues for wave manipulation beyond the quantum realm. In elastic media, realizing these topolog…

cs.CE2025★ 1 cited

Multimaterial topology optimization for finite strain elastoplasticity: theory, methods, and applications

Yingqi Jia, Xiaojia Shelly Zhang

Plasticity is inherent to many engineering materials such as metals. While it can degrade the load-carrying capacity of structures via material yielding, it can also protect struct…

cs.CE2020

Momentum-based Accelerated Mirror Descent Stochastic Approximation for Robust Topology Optimization under Stochastic Loads

Weichen Li, Xiaojia Shelly Zhang

Robust topology optimization (RTO) improves the robustness of designs with respect to random sources in real-world structures, yet an accurate sensitivity analysis requires the sol…

math.OC2016★ 33 cited

Stochastic Sampling for Structural Topology Optimization with Many Load Cases: Density-Based and Ground Structure Approaches

Xiaojia Zhang, Eric de Sturler, Glaucio H. Paulino

We propose an efficient probabilistic method to solve a deterministic problem -- we present a randomized optimization approach that drastically reduces the enormous computational c…