Flexible devices based on organic semiconductors could be of use in the development of wearable electronics and the Internet of Things, but face competition from other established and emerging technologies.
Volume 4 Issue 8, August 2021
News & Views
This Review examines the development of emerging semiconductor materials—organic semiconductors, colloidal quantum dots and metal halide perovskites—for light-emitting diodes, considering efforts to improve modulation performance and device efficiency, as well as potential applications in on-chip interconnects and light fidelity (Li-Fi).
Measurements of one-dimensional Coulomb drag between adjacent edge states of quantum spin Hall insulators that are separated by an air gap suggest that quantum spin Hall effects could be used to suppress the impact of Coulomb interactions on the performance of future nanocircuits.
Microscale three-dimensional thermoelectric architectures can be fabricated through the direct writing of particle-based thermoelectric inks and used to create microthermoelectric generators that exhibit a power density of 479.0 μW cm–2.
Integrated complementary inverters and ring oscillators based on vertical-channel dual-base organic thin-film transistors
Organic n- and p-type vertical transistors, with considerably shorter channel lengths than their planar counterparts, can be used to create complementary metal–oxide–semiconductor (CMOS)-like inverters and ring oscillators that operate in the megahertz frequency range.
Through the monolithic integration of enhancement-mode n-type and p-type gallium nitride field-effect transistors, complementary integrated circuits including latch circuits and ring oscillators can be created for use in high-power and high-frequency applications.
Wirelessly powered microchips, which have an ~1 GHz electromagnetic transcutaneous link to an external telecom hub, can be used for multichannel in vivo neural sensing, stimulation and data acquisition.
Smartphone-based DNA diagnostics for malaria detection using deep learning for local decision support and blockchain technology for security
A smartphone-based system that uses deep learning algorithms for local decision support, and incorporates blockchain technology to provide secure data connectivity and management, can be used for multiplexed DNA diagnosis of malaria.