Electrospun polarity-controlled molecular orientation for synergistic performance of an artifact-free piezoelectric anisotropic sensor

Kumar, Ajay; Gupta, Varun; Malik, Pinki; Ram, Shanker; Mandal, Dipankar

doi:10.1039/d4mh00540f

Mater. Horiz.

2024

DOI: 10.1039/d4mh00540f

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Electrospun polarity-controlled molecular orientation for synergistic performance of an artifact-free piezoelectric anisotropic sensor

Ajay Kumar,

Varun Gupta,

Pinki Malik

et al.

Abstract: Electrospinning polarity-controlled anisotropic artifact-free pressure sensor with a hybrid nanogenerator has emerging robotic applications.

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Cited by 2 publications

References 75 publications

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Algorithmically Enhanced Wearable Multimodal Emotion Sensor

Babu,

Kassahun,

Dufour

et al. 2024

Advanced Intelligent Systems

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Sensing diverse human emotions offers significant potential for understanding deeper cognitive processes and diagnosing neurological diseases. However, capturing the full spectrum of emotions remains a significant challenge due to their intricate and subjective nature. Traditional emotion‐sensing techniques often focus on singular emotions, limiting their ability to grasp the complexity of emotional experiences. Herein, a fully printed, organic wearable sensor capable of multimodal emotion sensing by noninvasively monitoring physiological indicators such as heart rate, breathing patterns, and voice signatures is presented. The recorded signals are processed using a long short‐term memory (LSTM) neural network, achieving over 91% classification accuracy in distinguishing different emotions through a data fusion approach, showing >9% enhancement in accuracy as compared to feature fusion. As a proof of concept, Q‐learning is implemented with the data to simulate emotional responses in a robotic model. The study's approach provides a pathway to understanding complex human emotions and enhances the capabilities of effective human–machine interaction.

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Algorithmically Enhanced Wearable Multimodal Emotion Sensor

Babu,

Kassahun,

Dufour

et al. 2024

Advanced Intelligent Systems

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Poly(vinylidene fluoride) Copolymers for Hybrid Piezoelectric and Triboelectric Energy Harvesting

Rodrigues-Marinho,

Pace,

Tubio

et al. 2024

ACS Appl. Energy Mater.

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Converting environmentally wasted energy into electrical energy to supply low-power devices is a relevant objective for achieving clean energy management to support the Internet of Things and Industry 4.0 paradigms. Flexible poly(vinylidene fluoride) (PVDF) polymers are widely used to generate electrical energy from mechanical stimuli. This can be achieved by exploiting their piezoelectricity in piezoelectric nanogenerators (PENGs) and their high electron affinity in triboelectric nanogenerators (TENGs). The two working principles can also be combined into hybrid mechanical energy harvesters (piezo-tribo nanogenerators, PTENGs). This study reports on the energy harvesting performance of PVDF-based polymers with varying chemical compositions, triboelectrification properties, crystalline phase content, and dielectric responses. We investigated the electromechanical performance of TENGs and hybrid PTENGs based on the PVDF homopolymer and its copolymers, which include monomer units with varying hydrogen, fluorine, and chlorine atoms. Poled PVDF presented the highest PTENG electrical output, achieving a peak voltage of ≈50 V and a peak power density of 30 μW/cm 2 . Both poled PVDF and electrospun fibers produced a voltage output of 1 V in the piezoelectric mode, while the hybrid PTENG reached voltages of nearly 25 and 52 V, respectively. This demonstrates the significant influence of the triboelectric effect on hybrid systems. Triboelectrification between two dielectric materials was theoretically modeled using charge transfer principles, resulting in a representation that aligns well with experimental data. The maximum power output was found to increase with both the sample area and frequency.

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Electrospun polarity-controlled molecular orientation for synergistic performance of an artifact-free piezoelectric anisotropic sensor

Abstract: Electrospinning polarity-controlled anisotropic artifact-free pressure sensor with a hybrid nanogenerator has emerging robotic applications.

Cited by 2 publications

References 75 publications

Algorithmically Enhanced Wearable Multimodal Emotion Sensor

Algorithmically Enhanced Wearable Multimodal Emotion Sensor

Poly(vinylidene fluoride) Copolymers for Hybrid Piezoelectric and Triboelectric Energy Harvesting

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