Abstract: Systems and methods disclosed herein provide for a passive backscattering beamformer based on large-area electronics (LAE). Low power is critical for distributed nodes in future IoT/5G networks. A key emerging solution is using ubiquitous 2.4 GHz Wi-Fi infrastructure with passive backscattering nodes, for low-power communication. LAE enables monolithic integration of devices over large and flexible substrates, with recent advances into the gigahertz regime opening new opportunities for wireless systems. An LAE passive backscattering beamformer is chosen that is capable of (1) enhancing the backscattered signal power in a scalable manner enabled by LAE's monolithic integrability over meter-scale area; (2) configuration between constructive/destructive beamforming; (3) frequency-shift keying for data modulation and SNR enhancement, by shifting the signal away from the incident interferer; and (4) frequency division multiplexing for increasing data bandwidth.

Abstract: In certain examples, a semiconductor includes a transistor having a channel including semiconducting CNTs (carbon nanotubes) material, and having source and drain electrodes separated from each other by a distance that spans at least a portion of the channel and that is in a range from 100 nm to 50,000 nm. With current passing between the source and drain electrodes and through the channel, an interface material is used (sandwiched between a first surface region of the channel and the source electrode and between a second surface region of the channel and the drain electrode) to reduce contact resistance and, with the channel, facilitate a high charge-carrier mobility.

Abstract: The system includes a job request collection and distribution module, a scheduling service module and a job execution service module. The job request collection and distribution module receives first description information of a job to be executed from a user terminal. A current scheduling service module matched with a job scheduling algorithm name in at least one scheduling service module determines a computing resource required by the job to be executed according to the first description information, and then determines a job scheduling result according to the required computing resource and currently available cluster computing resources. The job is submitted to a high-performance computer through a current job execution service module matched with a job execution service name in at least one job execution service module according to a device identifier and a global identifier of the job to be executed contained in the scheduling result.

Abstract: A selectively-absorbing material includes a silicone polymer and transition-metal oxide nanoparticles dispersed therein. Each of the transition-metal oxide nanoparticles includes manganese. A solar receiver includes (i) a metal substrate including an etched surface having a microroughness between 0.05 micrometers and two micrometers; (ii) a polymer matrix disposed on the etched surface; and (iii) transition-metal oxide nanoparticles dispersed within the polymer matrix. A method for producing transition-metal oxide nanoparticles includes recrystallizing a plurality of two-element nanoparticles at a temperature between 300 and 700° C. The plurality of two-element nanoparticles includes at least two of (i) copper oxide nanoparticles, (ii) manganese oxide nanoparticles, and (iii) iron oxide nanoparticles.