Industrial Manufacturing
Adaptive tooling, self-healing coatings and reconfigurable production.
Gait learning for soft microrobots controlled by light fields
A Bayesian optimization + Gaussian-process learning scheme enables light-controlled soft microrobots to optimize and adapt gaits with few experiments and robustness across microrobot samples.
A Review of Machine Learning Applications in Mechanical Metamaterial Design
The review summarizes how machine learning models and end-to-end workflows can accelerate mechanical metamaterial design and property prediction using simulation-based validation.
Heat breaks the rules at the nanoscale and scientists used it to their advantage
Nanoscale gold metamaterials can boost heat transfer across tiny gaps by up to 4×, enabling more efficient thermal management and precision heat engineering.
Multimaterial 4D printing of adaptive and reconfigurable auxetic metastructures
Multimaterial 4D printing with PLA/PCL enables auxetic metastructures whose geometry–material coupling yields tunable mechanics, energy absorption, and thermally induced reconfigurability.
Tough self-healing elastomers by molecular enforced integration of covalent and reversible networks
By molecularly enforcing mixing of reversible hydrogen-bond networks with permanent covalent crosslinks, the authors fabricate a tough dry elastomer that self-heals at room temperature.
HVAF Spraying of NiTi Coatings: Microstructure, Phase Transformation and Shape Memory Behavior
HVAF spraying enables thick (100–300 µm) NiTi shape-memory alloy coatings on mild steel that can undergo martensitic transformation and exhibit thermal actuation and shape memory effects after annealing.
Mechanical analysis of composite leaf springs made by 4D printing method
4DPC composite leaf springs curl from a flat layup into a curved beam, and residual stresses at the 90° layer surface reduce tensile loading enough to improve fatigue resistance.
DiffeoMorph: Learning to Morph 3D Shapes Using Differentiable Agent-Based Simulations
DiffeoMorph is an end-to-end differentiable method that learns agent-based morphogenesis rules to transform minimally patterned starts into target 3D shapes using an invariant Zernike-based shape-matching loss.
Structural and Compositional Complexities of Hierarchical Self-Assembly: a Hypergraph Approach
A hypergraph-based Blocks & Bonds formalism plus a compact Structure Code enables practical, complexity-aware description and inverse design of programmable self-assembled architectures.
3D printing on pre-stressed textiles: peel test evaluation of adhesion factors in 4D textiles
A factorial study identifies printing and pre-tension parameters that maximize peel-test adhesion between 3D-printed reinforcements and pre-stressed textile substrates in 4D textiles.
On the Shape Containment Problem within the Amoebot Model with Reconfigurable Circuits
It studies how amoebot particles in programmable matter can contain a desired shape without movement, proving runtime bounds and giving efficient algorithms for specific shape classes.
Tile Reconfiguration by a Finite Automaton
A deterministic finite-automaton agent can reconfigure passive tiles on a triangular lattice to form specified target shapes, with worst-case optimal and polynomial-time algorithms.
Additively manufactured Shape Memory Alloy Hybrid Composites with a polymer matrix featuring a re-entrant honeycomb structure
A fully additive SLA+TFP route fabricates SMA hybrid composites with a re-entrant honeycomb polymer structure, enabling geometry-tuned, thermally activated out-of-plane bending with improved reproducibility via automated SMA placement.
4D printed hydromorph biocomposites with shape change and force generation properties: progress towards structural actuation
4D-printed flax/PLA hydromorph biocomposites can be tuned to deliver water-driven shape change with blocked force and energy density comparable to wood, supporting structural actuation design.
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.
Asynchronous Silent Programmable Matter: Line Formation
It proposes an optimal distributed algorithm for line formation in the SILBOT programmable-matter model under asynchronous, silent, oblivious particle behavior.
Rotary 4D Printing of Programmable Metamaterials on Sustainable 4D Mandrel
A rotary 4D printing workflow fabricates modular, multi-material programmable mechanical metamaterials on a shape-morphing mandrel, enabling programmable stiffness and multi-DOF shape recovery.
Adaptive Collective Responses to Local Stimuli in Anonymous Dynamic Networks
A local-interaction algorithm enables agents in programmable matter to switch system-wide phases in response to dynamically appearing/disappearing stimuli, even on reconfigurable graphs.
Local Stochastic Algorithms for Alignment in Self-Organizing Particle Systems
Local stochastic, distributed rules on lattice-based self-organizing particles can produce collective alignment (or nonalignment) and also tune compression/expansion while maintaining or relaxing connectivity constraints.
Thermoelastic wave-based logic for mechanically cognitive materials
Wave-scattering mechanical logic gates are built from metamaterial cells with shape-memory-alloy mechanical memory that reconfigures via thermal activation, demonstrated with measured wavefields.
Fast Reconfiguration for Programmable Matter
A new amoebot shape-reconfiguration algorithm achieves global transformation from local rules without relying on a canonical intermediate configuration, with linear activation rounds in the worst case.
Study on vertical printing of thermally driven PLA actuators: residual stress modulation in FDM-based 4D printing
Vertical thermally driven PLA 4D printing can modulate residual stress via nozzle temperature and printing speed, enabling controlled multi-level bending in a fabricated thermally responsive fan-blade structure.
On Nonlinear Dynamics Of A Nonideal Magnetic System With Shape Memory Alloy To Energy Harvesting Using Uncertainty Exponent And Entropy Of Basin Of Attractions Approaches
A nonlinear, non-ideal magnetic energy-harvesting model incorporating a shape memory spring is analyzed via basin-of-attraction fractality and uncertainty/entropy measures to map chaotic/periodic regimes and power-output extremes.