Electrically Conductive Inks as Programable Material Systems for Adaptive, Multifunctional, and Sustainable Electronics
Yan Peng, Huaizhi Liu, Peiwen Wu, Jiuyang Zhang · Wiley · 2025
This research explores programmable conductive inks that enhance the functionality and adaptability of flexible electronics and soft robotics.
Plain English summary
Why this matters
Key findings
- Conductive inks are vital for flexible electronics and soft robotics.
- Traditional inks face trade-offs between conductivity and flexibility.
- Liquid metal inks provide fluidity and self-healing but are environmentally unstable.
- Platform-type conductive inks can balance performance and processability.
- Future developments may include dynamic reconfiguration and sustainable recycling.
What's new
The introduction of platform-type conductive inks that allow for diverse applications without fundamental reformulation is a new approach.
Limitations
The abstract does not provide specific experimental results or commercial availability of the proposed inks.
Commercial context
The research is still in the conceptual stage and does not indicate any commercial products or readiness.
Publication
- Publisher
- Wiley
- Publication date
- December 3, 2025
- Research type
- Paper
- License
- http://onlinelibrary.wiley.com/termsAndConditions#vor
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.
Design of binary stiffness adaptive elements with tunable linear and nonlinear response
The study presents binary stiffness adaptive elements that can switch stiffness states, enhancing reprogrammable structures for unknown environments.
An electrically isolated Josephson junction array as a tunable metamaterial
This study explores a tunable electromagnetic metamaterial based on an electrically isolated Josephson junction array, demonstrating its nonlinear response.
