Hygromnemics: Programmable Material Memory Matter Actuators via Wet Pre‐Constraining
Charles de Kergariou, Findlay S. G. Smith, Richard S. Trask, Adam W. Perriman, Fabrizio Scarpa, David Correa · Wiley · 2025
Hygromnemic actuators utilize humidity to store and program shape memory, enabling innovative soft robotic applications.
Plain English summary
Why this matters
Key findings
- Hygromnemic actuators store shape memory activated by humidity.
- Actuators can achieve sinusoidal actuation patterns.
- They operate effectively in low humidity (12% relative humidity).
- Strength is 253% higher in dry conditions compared to wet.
- Shape storage capability allows control during operational service.
What's new
The introduction of hygromnemic actuators that utilize humidity for shape memory programming is a new approach compared to traditional thermally-induced methods.
Limitations
The abstract does not provide details on the long-term durability of the actuators or their performance in varying humidity levels beyond the tested conditions.
Commercial context
The technology is still in the conceptual stage and has not been demonstrated in commercial applications.
Publication
- Publisher
- Wiley
- Publication date
- August 23, 2025
- Research type
- Paper
- License
- http://creativecommons.org/licenses/by/4.0/
Tags
More on Programmable Materials
See all →Shape optimization of 4D-printed multi-material morphing structures for enhanced structural stability
This study presents a shape optimization framework for enhancing the stiffness of 4D-printed multi-material morphing structures.
A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control
This research presents a framework for active and programmable shape-morphing soft matter systems, enhancing soft robotics capabilities.
Architecting three-dimensional reconfigurable matter from pop-up kirigami with programmable multistability
This research presents a new platform for creating programmable multistable pop-up kirigami systems that can transform into complex 3D shapes.
Dimple-Encoded Reprogrammable Origami
This research presents a dimple-encoded origami platform that allows for reprogrammable shape-morphing and adaptive mechanical systems.
Geometric memory in incomplete phase transitions across dimensions
A nucleation-and-growth model with incomplete reversion produces a geometric memory in plate-size distributions, with stronger memory in 2D than in 3D or lamellar geometries.
Logarithmic-Time Geodesically Convex Decomposition in Programmable Matter
It presents an O(log n)-round algorithm to decompose arbitrary amoebot programmable-matter structures into O(|H|) geodesically convex regions using reconfigurable circuits.
Recently published
Latest research →Bio-inspired re-entrant honeycomb metamaterial with programmable dual-plateau mechanical response
A bio-inspired re-entrant honeycomb mechanical metamaterial is described as having a programmable dual-plateau mechanical response.
Modelling the thermo-mechanical responses and shape recovery performance of particle-reinforced shape memory polymer composites in cold and hot programming
A study focused on modeling thermo-mechanical behavior and shape recovery of particle-reinforced shape-memory polymer composites when programmed in cold versus hot conditions.
Functional Shape Recovery Response of Heat-Treated NiTiCu SHAPE Memory Alloy Wire
Heat treatment of NiTiCu shape memory alloy wires enhances their shape recovery response, achieving a high recovery ratio.
Dorsiventrally Bicolored Leaf‐Inspired Metamaterial Absorbers for Tailorable Electromagnetic Absorption
This research proposes a bioinspired metamaterial that achieves high-performance, tailorable electromagnetic absorption across a broad frequency range.
