Smart Material Systems Research Articles

Reversible Electrochemical Swelling of Straight Carbon Nanotube Yarns for High-Performance Linear Actuation.

Coiled artificial muscle yarns outperform their straight counterparts in contractile strokes. However, challenges persist in the fabrication complexity and the susceptibility of the coiled yarns to becoming stuck by surrounding objects during contraction and recovery. Additionally, torsional stability remains a concern. In this study, it is reported that straight carbon nanotube (CNT) yarns when driven by a low-voltage electrochemical approach, can achieve a contractile stroke that surpasses even NiTi shape memory alloy fibers. The key lies in the suitable match between a yarn consisting of randomly aligned CNTs and the reversible and substantial electrochemical swelling induced by solvated ions. Wrinkled structures are formed on the surface of the CNT yarn to adapt to the swelling process. This not only assures torsional stability but also enhances the surface area for improved electrode-electrolyte interaction during electrochemical actuation. Remarkably, the CNT artificial muscle yarn generates a contractile stroke of 8.8% and an isometric stress of 7.5 MPa under 2.5 V actuation voltages, demonstrating its potential for applications requiring low energy consumption while maintaining high operational efficiency. This study highlights the crucial impact of CNT orientation on the effectiveness of electrochemically-driven artificial muscles, signaling new possibilities in smart material and biomechanical system development.

Safety-enhanced battery modules with actively switchable cooling and anti-impact functions

In this paper, a magnetically controlled multifunctional smart material system based on magneto-sensitive shear thickening fluid (MSTF) is proposed for the safety-enhanced lithium-ion battery (LIB) modules. The rheological behavior of the MSTF can be intelligently manipulated by a magnetic field, allowing its function in the battery module to be actively and rapidly switched between cooling and impact resistance. To quantitatively assess the temperature control and impact resistance of the purposely prepared MSTF, comprehensive experiments are conducted to thoroughly analyze the thermal performance, mechanical response, and electrochemical performance of the battery module integrated with cooling and active impact protection. The results of the cooling test show that the water-based MSTF without a magnetic field has a flowability that gives it similar temperature control to that of a commonly used coolant (water). This suggests that the MSTF can be an effective cooling medium for rapid cooling of LIBs. The results of the impact test indicate that MSTF in a magnetic field can completely avoid battery deformation and significantly reduce the impact force applied to the LIB during impact, due to the fact that the magnetic field can quickly transform the MSTF into a solid-like state, which gives it a significant anti-impact effect. More importantly, the LIBs protected by the MSTF exhibit no rapid capacity degradation or abnormal temperature increase in the subsequent electrochemical cycling tests, while the unprotected or weakly protected LIBs compromise after the impact. With the MSTF, excellent cooling and anti-impact functions can be actively switched in one system, and this innovative integrated design is expected to drive significant advances in safety for battery modules.

Water-induced reversible deformation materials: Synthesis and UV polymerization of sulfonic based polyacrylates

Reversible deformable materials driven by water or humidity have crucial applications in many areas. A novel sulfonic based cross-linked polyacrylates were prepared by simple UV emulsion copolymerization of functional sulfonic based acrylates with conventional acrylates and epoxy acrylate resins. The structure of sulfonic based acrylates was characterized by FT-ATR,1H-NMR, high-resolution mass spectrometry. The thermal properties, surface morphology and structure of the cured polymers were analyzed. The reversible deformation induced by water and humidity were explored. Based on analysis of surface morphology, XPS and etching experiments, a reasonable deformation mechanism is proposed that the hydrophilic groups migrate to the surface of the oil-in-water colloidal particle film due to the difference in polarity and show a gradient distribution, and hydration of hydrophilic groups results in water absorption and film expansion. Reversible deformation materials driven by water or humidity are of great significance in the field of research on smart material systems.

Nature-inspired miniaturized magnetic soft robotic swimmers

State-of-the-art biomedical applications such as targeted drug delivery and laparoscopic surgery are extremely challenging because of the small length scales, the requirements of wireless manipulation, operational accuracy, and precise localization. In this regard, miniaturized magnetic soft robotic swimmers (MSRS) are attractive candidates since they offer a contactless mode of operation for precise path maneuvering. Inspired by nature, researchers have designed these small-scale intelligent machines to demonstrate enhanced swimming performance through viscous fluidic media using different modes of propulsion. In this review paper, we identify and classify nature-inspired basic swimming modes that have been optimized over large evolutionary timescales. For example, ciliary swimmers like Paramecium and Coleps are covered with tiny hairlike filaments (cilia) that beat rhythmically using coordinated wave movements for propulsion and to gather food. Undulatory swimmers such as spermatozoa and midge larvae use traveling body waves to push the surrounding fluid for effective propulsion through highly viscous environments. Helical swimmers like bacteria rotate their slender whiskers (flagella) for locomotion through stagnant viscid fluids. Essentially, all the three modes of swimming employ nonreciprocal motion to achieve spatial asymmetry. We provide a mechanistic understanding of magnetic-field-induced spatiotemporal symmetry-breaking principles adopted by MSRS for the effective propulsion at such small length scales. Furthermore, theoretical and computational tools that can precisely predict the magnetically driven large deformation fluid–structure interaction of these MSRS are discussed. Here, we present a holistic descriptive review of the recent developments in these smart material systems covering the wide spectrum of their fabrication techniques, nature-inspired design, biomedical applications, swimming strategies, magnetic actuation, and modeling approaches. Finally, we present the future prospects of these promising material systems. Specifically, synchronous tracking and noninvasive imaging of these external agents during in vivo clinical applications still remains a daunting task. Furthermore, their experimental demonstrations have mostly been limited to in vitro and ex vivo phantom models where the dynamics of the testing conditions are quite different compared the in vivo conditions. Additionally, multi-shape morphing and multi-stimuli-responsive modalities of these active structures demand further advancements in 4D printing avenues. Their multi-state configuration as an active solid-fluid continuum would require the development of multi-scale models. Eventually, adding multiple levels of intelligence would enhance their adaptivity, functionalities, and reliability during critical biomedical applications.

Design of a Biohybrid Materials Circuit with Binary Decoder Functionality.

Synthetic biology applies concepts from electrical engineering and information processing to endow cells with computational functionality. Transferring the underlying molecular components into materials and wiring them according to topologies inspired by electronic circuit boards has yielded materials systems that perform selected computational operations. However, the limited functionality of available building blocks is restricting the implementation of advanced information-processing circuits into materials. Here, a set of protease-based biohybrid modules the bioactivity of which can either be induced or inhibited is engineered. Guided by a quantitative mathematical model and following a design-build-test-learn (DBTL) cycle, the modules are wired according to circuit topologies inspired by electronic signal decoders, a fundamental motif in information processing. A 2-input/4-output binary decoder for the detection of two small molecules in a material framework that can perform regulated outputs in form of distinct protease activities is designed. The here demonstrated smart material system is strongly modular and can be used for biomolecular information processing for example in advanced biosensing or drug delivery applications.

Liquid Metal Smart Materials toward Soft Robotics

Unlike conventional rigid machines, soft robots generally have unique operation styles that rely heavily on soft matter engineering and smart material systems. Owing to the superior merits of both metals and fluids, liquid metal smart materials are increasingly being innovatively used as soft actuators and sensors to construct soft robots. To promote further development and prosperity in this field, this review organizes and summarizes the typical progress in liquid metal smart materials, with a special focus on their robotic response behaviors. In particular, the article emphasizes the concept of smart composite systems consisting of liquid metals and synergistic substances (e.g., solutions, particles, and polymers). The response behaviors of liquid metal smart materials under the actions of external factors (electricity, magnetism, ultrasound, light, heat, etc.) are examined and the smart properties occurring during these responses, such as motion, transformation, self‐organization, adaptive healing, and autonomous sensing, are identified. Furthermore, soft actuators, control systems, and robots based on liquid metal smart materials are summarized and elaborated upon. Finally, the potential directions worth pursuing and challenges are outlined. It is expected that this review will stimulate further investigations into liquid metal smart materials with the aim of building a new generation of soft robots.

Thermoresponsive Conductivity of Graphene-Based Fibers.

Smart materials are versatile material systems which exhibit a measurable response to external stimuli. Recently, smart material systems have been developed which incorporate graphene in order to share on its various advantageous properties, such as mechanical strength, electrical conductivity, and thermal conductivity as well as to achieve unique stimuli-dependent responses. Here, a graphene fiber-based smart material that exhibits reversible electrical conductivity switching at a relatively low temperature (60°C), is reported. Using molecular dynamics (MD) simulation and density functional theory-based non-equilibrium Green's function (DFT-NEGF) approach, it is revealed that this thermo-response behavior is due to the change in configuration of amphiphilic triblock dispersant molecules occurring in the graphene fiber during heating or cooling. These conformational changes alter the total number of graphene-graphene contacts within the composite material system, and thus the electrical conductivity as well. Additionally, this graphene fiber fabrication approach uses a scalable, facile, water-based method, that makes it easy to modify material composition ratios. In all, this work represents an important step forward to enable complete functional tuning of graphene-basedsmart materials at the nanoscale while increasing commercialization viability.

Oxygen-releasing biomaterials for regenerative medicine.

Oxygen is critical to the survival, function and fate of mammalian cells. Oxygen tension controls cellular behavior through metabolic programming, which in turn controls tissue regeneration. A variety of biomaterials with oxygen-releasing capabilities have been developed to provide oxygen supply to ensure cell survival and differentiation for therapeutic efficacy, and to prevent hypoxia-induced tissue damage and cell death. However, controlling the oxygen release with spatial and temporal accuracy is still technically challenging. In this review, we provide a comprehensive overview of organic and inorganic materials available as oxygen sources, including hemoglobin-based oxygen carriers (HBOCs), perfluorocarbons (PFCs), photosynthetic organisms, solid and liquid peroxides, and some of the latest materials such as metal-organic frameworks (MOFs). Additionally, we introduce the corresponding carrier materials and the oxygen production methods and present state-of-the-art applications and breakthroughs of oxygen-releasing materials. Furthermore, we discuss the current challenges and the future perspectives in the field. After reviewing the recent progress and the future perspectives of oxygen-releasing materials, we predict that smart material systems that combine precise detection of oxygenation and adaptive control of oxygen delivery will be the future trend for oxygen-releasing materials in regenerative medicine.

Initial proposal of a smart cement-based material to enhance the service-life of reinforcement concrete structures

The sustainable development of societies can be pursued by simultaneously avoiding the depletion of materials and resources and reducing the greenhouse gases emissions, with related climatic change effects. In order to get this, the extension of structures service-life plays a significant role in saving natural resources, decreasing the overall anthropogenic carbon-footprint, and reducing building and demolition wastes. In order to achieve such prolongation of structures service-life, one of the most promising approaches is the development of Smart Structures. These are defined as structures that are able to self-sense some external stimuli such as stress or temperature variations, and internal conditions such as chloride penetration, concrete carbonatation, etc. Consequently, ongoing damage phenomena can be detected promptly, thus allowing to implement suitable countermeasures in the most efficient way. Smart Structures can also process the information and respond autonomously in real time by using smart materials technologies such as self-healing technology. In this study we propose a preliminary version of a smart material system with self-healing and sensing properties, to demonstrate its effectiveness at a proof of concept level. The effectiveness of an active, capsule-based self-healing system in blocking chloride penetration through the crack and the effectiveness of voltametric Ag sensors in detecting the presence of chlorides were investigated experimentally. High-performance cement mortar was chosen as the material to be studied, in order to ensure that optimal behaviour could be observed in non-cracked conditions.

Self-healing and adaptive concrete material

Over the last several decades, there has been a surge in interest in studying smart materials and their applications in various sectors, particularly building technology and architecture. Although smart materials are not new, researchers are working to construct smart materials and a system to regulate the materials to produce a living environment with fewer negative effects and greater adaptive capabilities. To investigate the excellent performance of architectural decorative materials in the fields of technology and art throughout specific historical periods, the research aims to evaluate the properties and architectural benefits of smart material systems and further analyze their impact on the construction process. In addition to exploring new ways to develop architecture with more vital adaptive traits, to reach the condition of “adaptiveness,” creating an optimum experience for consumers and concentrating on architectural, structural, and climatic efficiency go hand-in-hand with the Saudi Vision 2030. Concrete is well known for its low cost, wide availability, and simple usage, making it the most extensively consumed material. However, it has weaknesses that include unpredictable cracking behavior that leads to poor structural performance, which could – later on – decrease the life expectancy of the building. Hence, using smart substances that could neutralize the cracking tendencies is the optimal choice when considering the world at its current track.

Smart Soft Materials with Multiscale Architecture and Dynamic Surface Topographies

ConspectusSmart soft materials have one or more characteristics that can be significantly altered in convertible fashions by external stimuli, such as light, moisture, mechanical force, temperature, electric/magnetic fields, pH, and so on. These materials can lead to widespread application in multifunctional smart devices. Recently, various smart soft materials have been developed under the inspiration of the intriguing multiscale structures, adaptive mechanisms, and dynamic responses of natural life, with an aim to further design advanced material systems with novel, intriguing, and unprecedented properties.Herein, inspired by the fascinating visual display strategies and adaptive mechanisms in animals and plants, we have fabricated a series of smart soft material-based devices that can respond to external stimuli with instantaneous and reversible fashions in optical, electrical, mechanical, and/or shape deformation signals. These devices can be fabricated for widespread applications, including smart windows, encryption devices, thermal camouflage, wearable strain sensors, anticounterfeit tabs, 3D stretchable electronics, dynamic displays, rewritable media, human–machine interfaces, and so on. The key to successfully achieving those intriguing characteristics in these smart material systems lies in the function-orientated structural design, which integrates bioinspired design and surface engineering with multiscale architecture as the crucial elements. In this Account, we provide a summary, with a main focus on our own work, of the recent advances in the bioinspired smart soft materials fabricated on the basis of 2D or 3D film–substrate multilayered structures. These materials are characterized by convertible topographies like dynamic cracks, folds, stimuli-responsive wrinkles, and other analogous structures. Those topographies are responsible for the dynamic stimuli-responsive optical, electrical, and mechanical properties demonstrated in the system, such as strain-dependent light scattering effect, mechanical tunable light shielding properties, moisture/mechanically/photothermally tunable surface reflectance, moisture/mechanically responsive resistance, etc. Besides, those 2D functional materials can be further evolved into shape adaptive 3D structures via strain relaxation methods. These systems demonstrate high design flexibility, excellent reversibility, and wide applicability, which can pave new routes for designing next generation smart soft materials equipped with versatile, tunable, adaptable, and interactive stimuli-responsive properties.

(Invited, Digital Presentation) Understanding the Self-Assembly of Polymer-Grafted Nanocrystals

Combination of inorganic nanocrystals (NCs) and polymeric materials is promising for the design of novel functional materials due to their complementary properties. For the preparation of such hybrid nanomaterials with tailored functionalities, it is important to precisely control their nanostructures since material properties of NCs strongly depend not only on the morphology of each NC building block, but also their assembled packing symmetries. In this talk, I will present precise control of polystyrene-grafted Au NC (Au@PS) superlattice symmetry, which shows non-conventional assembly behavior compared to short alkyl chain-coated NCs. Au@PS NCs were synthesized by ligand exchange using thiol-terminated PS with various molecular weights (M n). The Au@PS particles were self-assembled through liquid-air interface self-assembly process. Transmission electron microscopy images and grazing incidence small-angle X-ray scattering data indicated long-range ordered Au@PS superlattices. In particular, symmetry transitions from hexagonal close packing (hcp) to body centered cubic (bcc) symmetry were found as M n of PS increases or diameter of NCs decreases. We tried to understand the structural transitions by proposing “effective softness” model, which considers concentrated polymer brushes around NC surface as part of “hard core.” Finally, I will show how these polymer-grafted NCs can be self-assembled with block copolymers for the development of colloidal hybrid particles with stimuli-responsive photoluminescence behavior, which have great potential for the applications in smart material systems.

On-Demand Release of Fucoidan from a Multilayered Nanofiber Patch for the Killing of Oral Squamous Cancer Cells and Promotion of Epithelial Regeneration.

Oral squamous cell carcinoma represents 90% of all oral cancers. Recurrence prevention remains an important prognostic factor in patients with oral squamous cell carcinoma, and the recovery of the oral epithelium post-surgery is still a challenge. Thus, there is an urgent need to develop a smart carrier material to realize the spatiotemporally controlled release of anticancer drugs, instead of multiple oral administrations, for recurrence prevention and promoting the reconstruction of injured epithelial tissues. Here, we developed a multi-layered nanofiber patch capable of the photothermal-triggered release of low-molecular-weight fucoidan (LMWF) from the sandwiched layer, together with electrospun fibers as the backing and top layers. The sandwiched layer was made of phase-change materials loaded with indocyanine green, a photosensitive dye, for the localized release of LMWF in response to near-infrared irradiation. We showed that the on-demand release of LMWF was able to kill oral cancer cells effectively. Furthermore, adding acellular dermal matrix to the top nanofiber layer improved the proliferation of human oral keratinocytes, while the hydrophobic back layer served as a barrier to prevent loss of the drug. Taken together, this study provides a feasible and smart material system for killing oral squamous cancer cells together with the recovery of oral epithelium.

Self-sensing of pulsed laser ablation in carbon nanofiber-based smart composites

Laser-to-composite interactions are becoming increasingly common in diverse applications such as diagnostics, fabrication and machining, and directed energy weapon systems. These interactions can induce seemingly imperceptible damage to the material. It is therefore desirable to have a means of sensing laser exposure. Smart or self-sensing materials may be a powerful method of addressing this need. Herein, we present a study on the potential of using changes in the electrical properties of carbon nanofiber (CNF)-modified composites as a way of detecting laser exposure and degradation. To test laser sensing capabilities, CNF composite specimens were exposed to an infra-red laser operating at 1064 nm, 35 kHz, and pulse duration of 8 ns for a total of 20 s. The resistances of the specimens were then measured post-ablation, and it was found that for 1.0 wt.% CNFs, the average resistance increased by approximately 18% thereby demonstrating laser sensing capabilities. In order to expand on this result, electrical impedance tomography (EIT) was employed for spatial localization of laser exposures of 1, 3, 5, 10, and 20 s on a larger, plate-like specimens. EIT was not only successful in detecting and localizing exposures, but it could also find laser damages that were virtually imperceptible to the naked eye. Based on these results, this research could lead to the development of novel carbon-based smart material systems for real-time detection and tracking of laser exposure in the measurement, fabrication, and defense industries.

Microenvironmental Behaviour of Nanotheranostic Systems for Controlled Oxidative Stress and Cancer Treatment.

The development of smart, efficient and multifunctional material systems for diseases treatment are imperative to meet current and future health challenges. Nanomaterials with theranostic properties have offered a cost effective and efficient solution for disease treatment, particularly, metal/oxide based nanotheranostic systems already offering therapeutic and imaging capabilities for cancer treatment. Nanoparticles can selectively generate/scavenge ROS through intrinsic or external stimuli to augment/diminish oxidative stress. An efficient treatment requires higher oxidative stress/toxicity in malignant disease, with a minimal level in surrounding normal cells. The size, shape and surface properties of nanoparticles are critical parameters for achieving a theranostic function in the microenvironment. In the last decade, different strategies for the synthesis of biocompatible theranostic nanostructures have been introduced. The exhibition of therapeutics properties such as selective reactive oxygen species (ROS) scavenging, hyperthermia, antibacterial, antiviral, and imaging capabilities such as MRI, CT and fluorescence activity have been reported in a variety of developed nanosystems to combat cancer, neurodegenerative and emerging infectious diseases. In this review article, theranostic in vitro behaviour in relation to the size, shape and synthesis methods of widely researched and developed nanosystems (Au, Ag, MnOx, iron oxide, maghemite quantum flakes, La2O3−x, TaOx, cerium nanodots, ITO, MgO1−x) are presented. In particular, ROS-based properties of the nanostructures in the microenvironment for cancer therapy are discussed. The provided overview of the biological behaviour of reported metal-based nanostructures will help to conceptualise novel designs and synthesis strategies for the development of advanced nanotheranostic systems.

Stimuli-Responsive Crystalline Smart Materials: From Rational Design and Fabrication to Applications.

Stimuli-responsive smart materials that can undergo reversible chemical/physical changes under external stimuli such as mechanical stress, heat, light, gas, electricity, and pH, are currently attracting increasing attention in the fields of sensors, actuators, optoelectronic devices, information storage, medical applications, and so forth. The current smart materials mostly concentrate on polymers, carbon materials, crystalline liquids, and hydrogels, which have no or low structural order (i.e., the responsive groups/moieties are disorderly in the structures), inevitably introducing deficiencies such as a relatively low response speeds, energy transformation inefficiencies, and unclear structure-property relationships. Consequently, crystalline materials with well-defined and regular molecular arrays can offer a new opportunity to create novel smart materials with improved stimuli-responsive performance. Crystalline materials include framework materials (e.g., metal-organic frameworks, MOFs; covalent organic frameworks, COFs) and molecular crystals (e.g., organic molecules and molecular cages), which have obvious advantages as smart materials compared to amorphous materials. For example, responsive groups/moieties can be uniformly installed in the skeleton of the crystal materials to form ordered molecular arrays, making energy transfer between external-stimulus signals and responsive sites much faster and more efficiently. Besides that, the well-defined structures facilitate in situ characterization of their structural transformation at the molecular level by means of various techniques and high-tech equipment such as in situ spectra and single-crystal/powder X-ray diffraction, thus benefiting the investigation and understanding of the mechanism behind the stimuli-responsive behaviors and structure-property relationships. Nevertheless, some unsolved challenges remain for crystalline smart materials (CSMs), hampering the fabrication of smart material systems for practical applications. For instance, as the materials' crystallinity increases, their processability and mechanical properties usually decrease, unavoidably hindering their practical application. Moreover, crystalline smart materials mostly exist as micro/nanosized powders, which are difficult to make stimuli-responsive on the macroscale. Thus, developing strategies that can balance the materials' crystallinity and processability and establishing macroscale smart material systems are of great significance for practical applications.In this Account, we mainly summarize the recent research progress achieved by our groups, including (i) the rational design and fabrication of new stimuli-responsive crystalline smart materials, including molecular crystals and framework materials, and an in-depth investigation of their response mechanism and structure-property relationship and (ii) creating chemical/physical modification strategies to improve the processability and mechanical properties for crystalline materials and establishing macroscale smart systems for practical applications. Overall, this Account summarizes the state-of-the-art progress of stimuli-responsive crystalline smart materials and points out the existing challenges and future development directions in the field.

Fiber Bragg Grating Smart Material and Structural Health Monitoring System Based on Digital Twin Drive

The damage self‐diagnosis function puts forward higher requirements for the research and development of intelligent structural health monitoring, and in most cases, it is necessary to monitor the load first, especially the monitoring of the impact load. The development of smart materials and structures is based on advanced sensing systems. In order to achieve this purpose, a high‐speed demodulation system based on fiber grating with double long period grating is studied, and then, a damage self‐diagnosis system based on fiber grating is constructed. The system can realize the strain distribution and impact load monitoring of the structure. After quantitative analysis of the signal, an advanced information identification method is used to realize the impact load location. This paper focuses on the data preprocessing process of bridge health monitoring. In view of the characteristics of high data complexity, large amount of data, and many noise components in the process of structural monitoring, this paper adopts basic data cleaning for the original data set, including data dimensionless and missing value processing. Based on the digital twin technology, the composition of the digital twin KNN model of bridge swivel construction monitoring and management is analyzed, and the digital twin system architecture of bridge swivel construction monitoring and management is built. The function display of the monitoring platform, including setting a variety of permission login modes, displaying BIM model, geographic information, and weather environment; monitoring data entry and addition, deletion, and modification; data chart analysis and export; and email warning, to verify the feasibility of the application of digital twin technology in bridge monitoring, and the advantages of the intelligent monitoring system are obtained. The strain error is found to be less than 15.48 μℇ in the research, which is within the range of the fiber grating. This method can effectively monitor and forecast these distributed, nonlinear, strongly coupled, multivariable, and time‐varying complex structures. By monitoring bridges, the original monitoring data of bridges can be obtained, and scientific research data and analysis services can be provided. In particular, the damage caused by shock and vibration is monitored, so that the accumulation of damage can be detected before it threatens the safety of the structure, so that the damaged structure can be repaired in time to ensure the safe operation of the structure.

Energy conversion of electrostrictive poly(vinylidene fluoride-co-hexafluoropropylene)/Graphene composites

This study investigates energy-conversion properties of the electrostrictive polymer, poly(vinylidene fluoride-co-hexafluoropropylene), P(VDF-HFP), filled with graphene nanosheets (GNPs). The composites (i.e., P(VDF-HFP) and GNPs) were fabricated by using the solution casting method. The dielectric constant of these electrostrictive materials was measured to observe the energy conversion property with different frequencies using an LCR meter. Their mechanical properties were measured using a photonic sensor with varying various input vibrations and electric fields to calculate their electrostrictive coefficients. These characterized results revealed that dielectric constants and electrostrictive coefficients were significantly increased when GNPs fillers were filled higher. For the electrical property, the generating current, which was measured across these polymer films, increased proportionally with respect to the adding GNPs. In this obtained result, the main finding of P(VDF-HFP)/GNPs composites is a promising electrostrictive material for applications of electromechanical energy conversions in many smart-material systems.

Multi-Mode Reconfigurable DNA-Based Chemical Reaction Circuits for Soft Matter Computing and Control.

Developing smart material systems for performing different tasks in diverse environments remains challenging. Here, we show that by integrating stimuli-responsive soft materials with multi-mode reconfigurable DNA-based chemical reaction circuits (D-CRCs), it can control size change of microgels with multiple reaction pathways and adapt expansion behaviors to meet diverse environments. We first use pH-responsive intramolecular conformational switches for regulating DNA strand displacement reactions (SDRs). The ability to regulate SDRs with tunable pH-dependence allows to build dynamic chemical reaction networks with diverse reaction pathways. We confirm that the designed DNA switching circuits are reconfigurable at different pH and perform different logic operations, and the swelling of DNA switching circuit-integrated microgel systems can be programmably directed by D-CRCs. Our approach provides insight into building smart responsive materials and fabricating autonomous soft robots.

Multi‐Mode Reconfigurable DNA‐Based Chemical Reaction Circuits for Soft Matter Computing and Control

AbstractDeveloping smart material systems for performing different tasks in diverse environments remains challenging. Here, we show that by integrating stimuli‐responsive soft materials with multi‐mode reconfigurable DNA‐based chemical reaction circuits (D‐CRCs), it can control size change of microgels with multiple reaction pathways and adapt expansion behaviors to meet diverse environments. We first use pH‐responsive intramolecular conformational switches for regulating DNA strand displacement reactions (SDRs). The ability to regulate SDRs with tunable pH‐dependence allows to build dynamic chemical reaction networks with diverse reaction pathways. We confirm that the designed DNA switching circuits are reconfigurable at different pH and perform different logic operations, and the swelling of DNA switching circuit‐integrated microgel systems can be programmably directed by D‐CRCs. Our approach provides insight into building smart responsive materials and fabricating autonomous soft robots.