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With the growing demand for advanced biophysical signal monitoring systems, the development of stretchable, adaptable, and functional flexible materials has become essential. Flexible sensors capable of detecting facial expressions, voice signals, and environmental stimuli show great potential in personalized healthcare, human–machine interfaces, and wearable electronics. Despite advancements, current flexible sensors face limitations such as low sensitivity to micro‐strains, insufficient anisotropy, and poor environmental adaptability, restricting their broader application. This study introduces a high‐performance stretchable sensor composed of carbon nanotube (CNT) and silver (Ag)‐based conductive inks integrated with a monodomain liquid crystal elastomer (LCE) substrate (Ag/CNT/LCE). The LCE substrate offers sensitive mir‐costrains detection intrinsic anisotropy, and thermal‐response capability. The conductive ink combines the mechanical robustness of CNTs with the excellent conductivity of Ag, suppressing CNT aggregation and improving electrical stability under strain. The Ag/CNT/LCE sensor exhibits a gauge factor of 3.93, rapid response times (120 ms), and exceptional cyclic durability over 2500 cycles. Additionally, its thermoresponsive behavior enhances adaptability to environmental changes. Demonstrated applications include facial emotion recognition, voice monitoring, and deformation‐based environmental sensing. By integrating multifunctionality, structural durability, and dynamic adaptability, the Ag/CNT/LCE sensor serves as a promising platform for wearable electronics, and next‐generation healthcare technologies. Integrating Ag/CNT conductive inks with monodomain liquid crystal elastomers, this flexible sensor improves micro‐strain detection and stability. Utilizing thermal responsiveness and intrinsic anisotropy, the Ag/CNT/LCE platform accurately monitors facial micro‐expressions and thermal stimuli. This multifunctional design offers a reliable platform for sophisticated human‐machine interfaces and next‐generation wearable healthcare technologies.

A flexible silver/carbon nanotube‐graphene oxide‐polydimethylsiloxane (Ag/CNT‐GO‐PDMS) patch electrode for recording electroencephalography (EEG) signals and recognizing words is prepared. These patches record EEG signals under the synergistic sensing mechanism of the noncontact capacitance mode of the CNT‐GO‐PDMS patch and contact current mode of the Ag claws, with low scalp contact resistance of 6.4 kΩ. In the occipital region, the signal‐to‐noise ratios (SNR) are ≈90 dB for α‐waves and 9 dB for visual‐evoked signals; the SNR of auditory‐evoked EEG signals in the temporal region is ≈10 dB. The EEG cap comprises seven Ag/CNT‐GO‐PDMS patches to record EEG signals in steady‐state visual‐evoked potentials (SSVEP) and multiple auditory steady‐state response (MASSR). These patches can recognize nine words (“one” to “nine”) in the SSVEP–MASSR paradigm, with a visual accuracy of 90.4% and auditory accuracy of 54.0%. The statistical analysis also shows that the stimulation frequency and scalp channel are significant influencing factors for the accuracy of word recognition. We developed a standardized process of flexible Ag/CNT‐GO‐PDMS patches and herein propose a new strategy to identify words, which is of great significance for the establishment of the EEG language database and the application of EEG in the field of information transmission. A flexible silver/carbon nanotube‐graphene oxide‐polydimethylsiloxane (Ag/CNT‐GO‐PDMS) patch was applied to word semantic recognition. The patch records electroencephalography (EEG) signals under the cooperative mechanism of the noncontact capacitance mode of the CNT‐GO‐PDMS patch and the contact current mode of Ag microclaws. A new paradigm of word recognition induced by visual–auditory synchronization for developing an EEG language system is proposed.

Soft-strain-based sensors are being increasingly used across various fields, including wearable sensing, behavior monitoring, and electrophysiological diagnostics. However, throughout all applications, the function of these sensors is limited because of high sensitivity, high-dynamic range, and low-power consumption. In this paper, we focus on improving the sensitivity and strain range of the soft-strain-based sensor through structure, surface, and sensitive unit treatment. Nanosilver (Ag)-coated hydroxyl-functionalized multi-walled carbon nanotubes (OH-f MWCNTs) were explored for highly acute sensing. With stretching and depositing methods, Ag@OH-f MWCNTs and polydimethylsiloxane (PDMS) are fabricated into a wrinkled and sandwich structure for a soft-strain-based sensor. The electronic properties were characterized in that the gauge factor (GF) = ΔR/R0 was 412.32, and the strain range was 42.2%. Moreover, our soft-strain-based sensor exhibits features including flexibility, ultra-lightweight and a highly comfortable experience in terms of wearability. Finally, some physiological and behavioral features can be sampled by testing the exceptional resistance change, including the detection of breath, as well as facial and hand movement recognition. The experiment exhibits its superiority in terms of being highly sensitive and having an extensive range of sensing.

Due to the rapid development and superb performance of electronic skin, we propose a highly sensitive and stretchable temperature and strain sensor. Silver nanoparticles coated carbon nanowires (Ag@CNT) nanomaterials with different Ag concentrations were synthesized. After the morphology and components of the nanomaterials were demonstrated, the sensors composed of Polydimethylsiloxane (PDMS) and CNTs or Ag@CNTs were prepared via a simple template method. Then, the electronic properties and piezoresistive effects of the sensors were tested. Characterization results present excellent performance of the sensors for the highest gauge factor (GF) of the linear region between 0–17.3% of the sensor with Ag@CNTs1 was 137.6, the sensor with Ag@CNTs2 under the strain in the range of 0–54.8% exhibiting a perfect linearity and the GF of the sensor with Ag@CNTs2 was 14.9.

The ignition reaction of Mg/KNO 3 was improved with addition of Ag/CNTs nanocomposite as catalyst. The nanoparticles of Ag(0) was deposited on the multi-walled carbon nanotubes (CNTs) using NaBH 4 as reducing reagent. The prepared catalyst was analyzed using X-ray diffraction pattern, field emission-scanning electron microscopy, energy-dispersive X-ray spectroscopy (EDS) and Brunauer–Emmett–Teller method. The differential scanning calorimetry (DSC) curves of Mg/KNO 3 and Mg/KNO 3 /Ag/CNTs pyrotechnic were studied at heating rates of 5, 10, 15 and 20 °C min −1 under nitrogen atmosphere. The shift of the temperature of exothermic peak to lower temperatures and increasing of enthalpy of ignition reaction of Mg/KNO 3 pyrotechnic was seen in DSC curves in presence of Ag/CNTs catalyst. The activation energies ( E a ) of ignition reaction of Mg/KNO 3 and Mg/KNO 3 /Ag/CNTs pyrotechnics were calculated 172–186 and 152–165 kJ mol −1 , respectively, using the free-model methods of Kissinger, Ozawa–Flynn–Wall and Kissinger–Akahira–Sunose. Also the pre-exponential factor ( A ) and kinetic model function of ignition reaction of pyrotechnics were determined by the compensation effect and nonlinear model fitting method. The values of pre-exponential factor were obtained 2.9 × 10 12 and 1.1 × 10 10  min −1 for the ignition reaction of Mg/KNO 3 in absence and in presence of catalyst of Ag/CNTs, respectively. The mechanism functions of Avrami–Erofeev A 2 f ( a ) = 2 1 - α - ln 1 - α 1 / 2 and A 3 f α = 3 1 - α - ln 1 - α 2 / 3 were found to be the best pattern for ignition reaction of Mg/KNO 3 and Mg/KNO 3 /Ag/CNTs pyrotechnics, respectively.