2018
DOI: 10.1021/acsami.8b19214
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Highly Ordered 3D Microstructure-Based Electronic Skin Capable of Differentiating Pressure, Temperature, and Proximity

Abstract: Electronic skin are devices that mimic the functionalities of human skin, which require high sensitivity, large dynamic range, high spatial uniformity, lowcost and large-area processability, and the capacity to differentiate various external inputs. We herein introduce a versatile droplet-based microfluidic-assisted emulsion self-assembly process to generate three-dimensional microstructure-based highperformance capacitive and piezoresistive pressure sensors for electronic skin applications. Our technique can … Show more

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Cited by 113 publications
(113 citation statements)
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“…Such a phenomenon can be attributed to the lower critical buckling load of the longer columns between the larger pores (i.e., F c ∝ L −2 , where F c is the critical buckling load, E is the elastic modulus, I is the moment of inertia, and L is the length of the column) . The sample with lower F c is expected to undergo a larger strain at a given pressure . This will increase the sensitivity of the sensor since larger compressive strain at a given pressure signifies a larger relative change in resistance.…”
Section: Resultsmentioning
confidence: 99%
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“…Such a phenomenon can be attributed to the lower critical buckling load of the longer columns between the larger pores (i.e., F c ∝ L −2 , where F c is the critical buckling load, E is the elastic modulus, I is the moment of inertia, and L is the length of the column) . The sample with lower F c is expected to undergo a larger strain at a given pressure . This will increase the sensitivity of the sensor since larger compressive strain at a given pressure signifies a larger relative change in resistance.…”
Section: Resultsmentioning
confidence: 99%
“…Various works have been reported to improve the performance of piezoresistive pressure sensors, most of which have been focused on increasing the sensitivity 3a,7. For instance, microstructuring of the piezoresistive element into porous structure,4b,8 pyramids,7a,9 microdomes3d,10 have been demonstrated to improve the sensitivity, which has been attributed to the decrease in the compressive modulus 7a,11. Porous structures, in particular, was utilized in various pressure sensors due to their facile fabrication process and scalability.…”
Section: Introductionmentioning
confidence: 99%
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“…Recent research trends in e-skins (29) and wearable electronics (30,31) have focused on the development of highly sensitive pressure sensors to achieve human skin-like sophisticated sensing. Although advances in materials and micro-/nanofabrication have shown impressive accomplishments toward this goal, pressure sensors with high sensitivity are limited because of their small dynamic ranges [e.g., 0 to 10 kPa in piezoresistive or piezoelectric devices (32,33) and 0 to 100 kPa in capacitive devices (34,35)], therefore substantially restricting the spectrum of applications. A tunable pressure sensor built on a transformative platform may resolve this issue.…”
Section: Pressure Sensor With Tunable Sensitivity and Dynamic Rangementioning
confidence: 99%
“…Meanwhile, the flexibility and conductivity, also key points that affect the sensitivity, sensing range, and response–recovery speeds of a pressure or strain sensor . Therefore, a great diversity of structures have been designed and studied to optimize the flexibility and conductivity of sensing materials, for example, via a combination of conductive materials, such as carbon nanotubes, graphene, silver nanowires, or poly(3,4‐ethylene dioxythiophene)–poly(styrene sulfonate) with the flexible microstructured substrates of Polydimethylsiloxane (PDMS), polyurethane (PU), or fabrics, or the construction of flexible structures with intrinsically rigid conductive materials, such as foam, gradient film, or networks . In addition to so many efforts, the pursuit of perfect flexibility and conductivity remain urgent for improving the performance of pressure and strain sensors.…”
Section: Introductionmentioning
confidence: 99%