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Systematic design of compliant morphing structures: a phase-field approach
A phase-field framework is developed to systematically design compliant morphing structures from stimulus-reacting materials, with convergence and efficient numerical implementation shown in simulations.
Single Bridge Formation in Self-Organizing Particle Systems
A mathematical analysis shows that, given strong directional and neighbor-count preferences, self-organizing particles almost certainly form exactly one bridge without central coordination.
Inverse Design of Planar Clamped-Free Elastic Rods from Noisy Data
An inverse-design framework computes a planar rod’s natural shape from a desired deformed target, and uses adjoint-based sensitivity learning to improve robustness to noisy data.
Inverse design of programmable shape-morphing kirigami structures
A two-stage inverse-design framework links kirigami geometry to mechanics to create shape-morphing structures that deploy from compact to target states under mechanical stimuli.
Multiscale Physics-Informed Neural Networks for the Inverse Design of Hyperuniform Optical Materials
This research presents a method using neural networks for the inverse design of hyperuniform optical materials with unique electromagnetic properties.
Learning Electromagnetic Metamaterial Physics With ChatGPT
A fine-tuned LLM can predict absorptivity spectra of all-dielectric electromagnetic metamaterial metasurfaces from text geometry prompts and can be used for inverse geometry design.
Design and Fabrication of String-driven Origami Robots
A software-plus-dual-material 3D printing workflow designs and fabricates string-driven origami structures, enabling TSA-actuated crawling robots and robotic arms.
Experimental Demonstration of Controllable PT and anti-PT Coupling in a non-Hermitian Metamaterial
An electromagnetic metamaterial can be tuned to switch between PT and anti-PT symmetric phases and cross exceptional points by adjusting resonator frequency and dissipation.
Shape-retaining beam-like morphing structures via localized snap through
Bistable arch-on-compliant-base units can snap through to multiple stable shapes, and arrays can be inverse-designed to morph into target stable configurations.
Polylogarithmic Time Algorithms for Shortest Path Forests in Programmable Matter
The paper proposes distributed algorithms for shortest path forests in a programmable-matter amoebot model with reconfigurable circuits, achieving polylogarithmic round complexities.
Deterministic Leader Election for Stationary Programmable Matter with Common Direction
With a common agreed direction but no chirality, the paper shows deterministic stationary leader election is possible in the Amoebot model, while explicit termination is impossible.
Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures
An algorithm for 3D hybrid programmable matter reconfigures connected passive tiles into an icicle intermediate shape, reducing structure diameter with O(n^3) steps.
Exploring pNIPAM Lyogels: Experimental Study on Swelling Equilibria in Various Organic Solvents and Mixtures, Supported by COSMO-RS Analysis
pNIPAM lyogels show strong solvent-dependent swelling/shrinkage driven by hydrogen bonding, and COSMO-RS modeling links solvent–polymer interactions to swelling equilibria in pure solvents and mixtures.
Printing Mosaics of Magnetically Programmed Liquid Crystal Directors for Reversibly Morphing Soft Matter
A DLP printing system with a reorientable magnetic field enables magnetically programmed alignment in liquid crystal elastomers, producing reversibly morphing structures with >30% thermal actuation.
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
This research introduces RIGID, a method for rapid inverse design of metamaterials using interpretable machine learning.
Topologically Variable and Volumetric Morphing of 3D Architected Materials with Shape Locking
A generalized inverse design method maps bistable unit cells to 3D morphing targets, enabling volumetric, shape-locked morphing structures and expanded tunable-property design space.
Inverse design of a pyrochlore lattice of DNA origami through model-driven experiments
This research presents a method for the self-assembly of DNA origami into a pyrochlore lattice, promising for optical metamaterials.
Fundamental absorption bandwidth to thickness limit for transparent homogeneous layers
A universal bandwidth-to-thickness limit for transparent homogeneous absorber layers is derived via Kramers–Kronig relations and supported by simulations and metamaterial modeling.