Publications by authors named "Anbang Chen"

Hydrogels are considered indispensable materials for fabricating flexible devices with their excellent flexibility and workability. To efficiently transform hydrogels into flexible devices, three-dimensional printing technology offers a powerful approach. However, hydrogels suitable for a single printing strategy have proven inadequate for fabricating flexible integrated devices.

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Hydrogel-based flexible electronic devices serve as a next-generation bridge for human-machine interaction and find extensive applications in clinical therapy, military equipment, and wearable devices. However, the mechanical mismatch between hydrogels and human tissues, coupled with the failure of conformal interfaces, hinders the transmission of information between living organisms and flexible devices, which resulted in the instability and low fidelity of signals, especially in the acquisition of electromyographic (EMG) and electrocardiographic (ECG) signals. In this study, we designed an ion-conductive hydrogel (ICHgel) utilizing multiple physical interactions, successfully applied for human motion monitoring and the collection of epidermal physiological signals.

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Article Synopsis
  • - The development of a bimodal capacitive e-skin enhances human-computer interaction by combining tactile and proximity sensing in a more efficient way, overcoming previous challenges like low sensitivity and fabrication complexity.
  • - Utilizing DLP-3D printing and sacrificial templating, this e-skin boasts high tactile sensitivity (1.672 kPa) and fast response times (∼30 ms), enabling touchless sensing through the "fringing electric field" effect.
  • - An integrated sensing array, powered by machine learning and an artificial neural network, allows for accurate identification and classification of various objects, positioning this e-skin as a revolutionary tool for advanced human-machine interfaces.
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  • Recent advances in bioelectronics are hindered by environmental noise and motion artifacts, prompting the development of a gel damper-integrated crack sensor inspired by spider anatomy.
  • The sensor features remarkable sensing abilities, such as a low detection limit of 0.05% strain, ultrafast response time of 3.4 ms, and durability exceeding 300,000 cycles, allowing for accurate vibration perception.
  • By combining the gel damper with the crack sensor, the device enhances signal quality and acquires cleaner vocal vibration signals, showcasing its potential for various applications in improving detection and stability.
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  • Self-powered and flexible sensors are increasingly used in wearable devices, but current systems face limitations due to reliance on external power sources, which affect their long-term stability.
  • An innovative self-powered sensing system combines a zinc-air battery with a strain sensor to provide a stable energy supply for continuous human motion monitoring without external devices.
  • The new system demonstrates excellent performance, including high power density, environmental stability, and the ability to monitor human movement for up to 10 hours, showing great potential for improved wearable sensor applications.
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Conductive elastomers with both softness and conductivity are widely used in the field of flexible electronics. Nonetheless, conductive elastomers typically exhibit prominent problems such as solvent volatilization and leakage, and poor mechanical and conductive properties, which limit their applications in electronic skin (e-skin). In this work, a liquid-free conductive ionogel (LFCIg) with excellent performance was fabricated by utilizing the innovative double network design approach based on a deep eutectic solvent (DES).

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Background: Macrophages are known to play a crucial role in the chronic inflammation associated with Chronic Obstructive Pulmonary Disease (COPD). BML-111, acting as a lipoxin A4 (LXA4) receptor agonist, has shown to be effective in protecting against COPD. However, the precise mechanism by which BML-111 exerts its protective effect remains unclear.

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  • Soft strain gauges, made from flexible materials, solve problems related to traditional rigid gauges, like poor sensing range and fracture issues.
  • A new hybrid material made from gel and elastomer shows impressive durability and sensitivity, capable of detecting tiny strains and human motion accurately.
  • By using advanced patterning techniques and machine learning, this technology can create intelligent systems to monitor human movements, paving the way for improved wearable devices.
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  • Natural biological tissues, like ligaments, have a unique structure that allows them to maintain high water content while being strong and flexible.
  • Conventional hydrogels struggle to match this strength and fatigue resistance, especially at high water contents.
  • A new strategy using freeze-casting and salting-out techniques creates a strong, flexible hydrogel with 79.5% water content, enhanced by carbon nanotubes, achieving high strength (4.5 MPa) and excellent durability for biomedical use.
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A non-equilibrium Green's function technique combined with density functional theory is used to study the spin-dependent electronic band structure and transport properties of zigzag silicene nanoribbons (ZSiNRs) doped with aluminum (Al) or phosphorus (P) atoms. The presence of a single Al or P atom induces quasibound states in ZSiNRs that can be observed as new dips in the electron conductance. The Al atom acts as an acceptor whereas the P atom acts as a donor if it is placed at the center of the ribbon.

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The electronic structure and conductance of substitutionally edge-doped zigzag silicene nanoribbons (ZSiNRs) are investigated using the nonequilibrium Green's function method combined with the density functional theory. Two-probe systems of ZSiNRs in both ferromagnetic and antiferromagnetic states are considered. Doping effects of elements from groups III and V, in a parallel or antiparallel magnetic configuration of the two electrodes, are discussed.

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