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High-performance ternary logic circuits and neural networks based on carbon nanotube source-gating transistors.
Sci Adv
January 2025
Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-Based Electronics, School of Electronics, Peking University, Beijing 100871, China.
Multi-valued logics (MVLs) offer higher information density, reduced circuit and interconnect complexity, lower power dissipation, and faster speed over conventional binary logic system. Recent advancement in MVL research, particularly with emerging low-dimensional materials, suggests that breakthroughs may be imminent if multistates transistors can be fabricated controllably for large-scale integration. Here, a concept of source-gating transistors (SGTs) is developed and realized using carbon nanotubes (CNTs).
View Article and Find Full Text PDFVaccination prior to SARS-CoV-2 infection does not affect the neurologic manifestations of long COVID.
Brain Commun
January 2025
Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Persistent symptoms after COVID-19 constitute the long COVID syndrome, also called post-acute sequelae of SARS-CoV-2 infection (PASC). COVID-19 vaccines reduce the gravity of ensuing SARS-CoV-2 infections. However, whether vaccines also have an impact on PASC remain unknown.
View Article and Find Full Text PDFHigh-dimensional photon states (qudits) are pivotal to enhance the information capacity, noise robustness, and data rates of quantum communications. Time-bin entangled qudits are promising candidates for implementing high-dimensional quantum communications over optical fiber networks with processing rates approaching those of classical telecommunications. However, their use is hindered by phase instability, timing inaccuracy, and low scalability of interferometric schemes needed for time-bin processing.
View Article and Find Full Text PDFTwo-Dimensional Materials for Brain-Inspired Computing Hardware.
Chem Rev
January 2025
Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.
Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security to healthcare. However, the current strategy of implementing artificial intelligence algorithms using conventional silicon hardware is leading to unsustainable energy consumption. Neuromorphic hardware based on electronic devices mimicking biological systems is emerging as a low-energy alternative, although further progress requires materials that can mimic biological function while maintaining scalability and speed.
View Article and Find Full Text PDFA novel MAC protocol for power line communication with integrated NFC for smart home applications.
Sci Rep
December 2024
School of Computer Science Engineering and Information Systems , Vellore Institute of Technology, Vellore, India.
Our day-to-day lives have become comfortable and sophisticated with many recent technologies. Likewise, today's world has been enhanced by new innovative technologies. Everyone is moving towards smart cities and smart homes.
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