Researchers at Abu Dhabi’s Technology Innovation Institute (TII) have identified a new universality in dynamic phase transitions by investigating a "quench" scenario in a two-dimensional atomic cloud undergoing a Kosterlitz-Thouless (BKT) transition. They discovered the universal behavior that vortex pairs form from the fluctuations of the atomic cloud during this dynamic phase transition and successfully described the process using a real-time renormalization method. Their paper, titled “Universal scaling of the dynamic BKT transition in quenched 2D Bose gases”, was published in Science. Why it matters: This discovery could catalyze the development of sensitive quantum sensors and contributes to a better understanding of many-body dynamics.
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.
A DeepMind researcher presented work on incorporating symmetries into machine learning models, with applications to lattice-QCD and molecular dynamics. The work includes permutation and translation-invariant normalizing flows for free-energy estimation in molecular dynamics. They also presented U(N) and SU(N) Gauge-equivariant normalizing flows for pure Gauge simulations and its extensions to incorporate fermions in lattice-QCD. Why it matters: Applying symmetry principles to generative models could improve AI's ability to model complex physical systems relevant to materials science and other fields in the region.
This article summarizes presentations from an internal Quantum Research Center (QRC) workshop at the Technology Innovation Institute (TII). Topics covered included superconducting quantum computers, quantum coherent networks, quantum simulation, and quantum machine learning. Several presentations also discussed experimental quantum technologies. Why it matters: The workshop highlights TII's ongoing research activities in quantum computing and related technologies, signaling its commitment to advancing the field in the UAE.
KAUST hosted the New Challenges in Heterogeneous Catalysis research conference from January 29-31. The conference brought together catalysis researchers from KAUST and abroad to inspire future research and discuss challenges in heterogeneous catalysis. Discussions focused on new chemistry, catalytic materials, understanding catalytic processes, and activation of small molecules like methane and carbon dioxide. Why it matters: Catalysis research is crucial for KAUST's research thrusts in food, water, energy, and environment, contributing to sustainable development and green chemistry in the region.
John Pantoja from the Directed Energy Research Center at TII presented a method to estimate the effects of high current impulses on electro-conductive textiles. The method uses specific action, a parameter to determine burst of exploding wires, and a new equivalent electrical circuit. The model estimates the current intensity needed to melt the conductive layer at contact areas between yarns, and is validated experimentally on ripstop woven fabrics. Why it matters: The research explores conductive fabrics for portable lightning protection shelters, potentially reducing lightning-related accidents in high-risk populations.
The Atomtronics@AbuDhabi2021 meeting, held virtually via Zoom, focused on recent advancements in cold atom quantum technology, particularly within the emerging field of Atomtronics. The meeting covered applicative, experimental, and theoretical aspects of atomic circuits for computation, communication, and sensing. Poster sessions were organized in Zoom breakout rooms. Why it matters: The event signals growing interest and activity in quantum technologies and quantum simulation within the UAE, with potential implications for future research and development in the region.
William Tang from Princeton spoke at KAUST about using deep learning to achieve nuclear fusion. Nuclear fusion, recreating stellar conditions on Earth, is considered the "holy grail" of power sources because it is clean and does not produce radioactive waste. Tokamaks, invented by Soviet physicists, are devices used to contain plasma, the superheated ionized gas required for fusion. Why it matters: KAUST is contributing to research on sustainable energy solutions, including exploring the potential of AI in nuclear fusion, a potentially transformative clean energy source.