KAUST researchers collaborated with TSMC to review the potential of 2D materials in overcoming silicon limitations for microchips. They find that while 2D materials show promise, performance degrades when using scalable fabrication techniques like chemical vapor deposition. 2D materials have been integrated into some commercial products like sensors, but high-integration-density circuits are still a challenge. Why it matters: This research highlights the ongoing efforts and remaining hurdles in utilizing novel materials to advance semiconductor technology in line with industry roadmaps.
KAUST Professor Muhammad Mustafa Hussain is working to democratize electronics and make advanced technology accessible. His research focuses on creating flexible, stretchable, and reconfigurable electronics that are cost-effective and easy to use. Hussain also teaches a course at KAUST where students develop electronics solutions to everyday problems. Why it matters: This initiative could empower individuals globally by providing access to affordable and user-friendly electronic devices for various applications.
This paper analyzes the impact of device uncertainties on deep neural networks (DNNs) in emerging device-based Computing-in-memory (CiM) systems. The authors propose UAE, an uncertainty-aware Neural Architecture Search scheme, to identify DNN models robust to these uncertainties. The goal is to mitigate accuracy drops when deploying trained models on real-world platforms.
A KAUST team led by Prof. Hussain published a paper in ACS Nano detailing their use of industry-compatible processes to create a flexible transistor with a bending radius of 0.5 mm. The transistor is constructed from a monocrystalline silicon-based substrate and uses a process that does not degrade device performance. The team's approach uses a network of trenches/holes and a back-etch process to create flexible electronics without compromising cost, yield, performance, and efficiency. Why it matters: This research paves the way for high-performance, portable electronics using silicon, a material already widely used in the electronics industry.
The Technology Innovation Institute (TII) in Abu Dhabi has launched Manarat, a custom-developed control electronics platform for quantum computing. Manarat can control 10 qubits with high accuracy and synchronizes multiple electronic boards with accuracy exceeding 100 picoseconds. TII claims Manarat is five times more cost-efficient than commercial alternatives. Why it matters: This development marks a step toward large-scale quantum computing in the UAE and establishes sovereign capabilities in quantum technologies.
KAUST researchers have published a review paper in Science magazine covering memristor technology, comparing it to the original transistor. Dr. Mario Lanza is the lead author of the paper, which summarizes data supporting memristor technology readiness across materials and applications. The paper statistically shows the technical criteria for how memristors function in various configurations. Why it matters: Memristors could become the new switching technology standard, surpassing transistors in speed and operational efficiency, especially as current chip technology reaches its quantum limit in terms of size.
Dr. Giampiero Marchegiani from the Quantum Research Center (QRC) co-authored a paper in Nature Nanotechnology on bipolar thermoelectricity in Josephson junctions. The research demonstrates the generation of electrical current using heat, observing bipolar thermoelectricity where the device generates either positive or negative electrical signals without extra control. Integrating these junctions into a bipolar thermoelectric Josephson engine (BTJE) allowed the generation of up to ~140nW/mm2 of electric power at subkelvin temperatures. Why it matters: This BTJE engine may have applications in superconducting technology, potentially strengthening the UAE's position in quantum technologies.
KAUST researchers led by Dr. Muhammad Hussain have developed a flexible, transparent silicon-on-polymer based FinFET inspired by the folded architecture of the human brain's cortex. The team created a 3D FinFET on a flexible platform without compromising integration density or performance. They aim to demonstrate a fully flexible silicon-based computer by the end of the year. Why it matters: This research could lead to the development of ultra-mobile, foldable computers and integrated circuits, advancing the field of flexible electronics in the region.