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Enowa and KAUST celebrate Energy Cortex program

KAUST ·

Enowa and KAUST held the Enowa-KAUST Energy Summit 2024, celebrating the third year of their Energy Cortex Program. The Energy Cortex Program funds applied research for clean energy solutions, focusing on renewable energy technologies led by KAUST faculty. The program is structured around Weatherlytics, GenFlex Cortex, Stor Cortex, and Grid Cortex, and has engaged KAUST professors, produced six journal papers, and provided NEOM with data. Why it matters: This partnership aims to revolutionize renewable energy in Saudi Arabia by integrating AI and advanced data analytics to optimize energy generation and distribution, supporting the Kingdom's sustainable energy goals.

What drives us and what powers us

KAUST ·

Nate Hagens from the University of Minnesota spoke at KAUST's Winter Enrichment Program (WEP) 2018 about the intersection of energy, human behavior, and economics. Hagens argued that society functions as an energy-dissipating "superorganism," with human preferences correlated with increasing energy needs. He emphasized that energy, not money, is the real capital, but global society is running out of it. Why it matters: The talk highlights the importance of viewing society through an ecological lens, particularly in the context of the GCC region's reliance on energy resources.

Groundbreaking study improves understanding of brain function

KAUST ·

KAUST researchers collaborated with the Blue Brain Project to study astrocytes, brain cells crucial for memory and learning. Dr. Corrado Calì produced 3D models of astrocytes using serial block-face electron microscopy to understand their structure. The study, published in Progress in Neurobiology, reveals how lactate transfer from astrocytes to neurons contributes to brain energy usage. Why it matters: Understanding astrocyte function could lead to new drugs for treating conditions like stroke and Alzheimer's disease by improving brain cell function.

Explaining energy storage with electron tomography

KAUST ·

KAUST researchers used electron tomography and X-ray photoelectron spectroscopy to study charge storage in manganese oxide electrodes for supercapacitors. They found that the electrolyte etches nanoscale openings in the manganese oxide sheets, increasing electrolyte permeability and energy density during cycling. 3D tomography revealed how the electrode's morphological evolution increases its surface area, enhancing energy densities. Why it matters: The research provides insights into improving the cycling stability of pseudocapacitive materials, which are crucial for developing high-performance supercapacitors.

Exploring brain-energy metabolism

KAUST ·

KAUST researchers are exploring the link between nutrition and brain-energy metabolism to address cognitive decline, dementia, and Alzheimer’s disease. Dr. Pierre Magistretti and Dr. Johannes le Coutre are collaborating on ways to merge brain-energy metabolism research into the field of nutrition. They published an article entitled “Goals in Nutrition Science 2015-2020” in the journal Frontiers in Nutrition. Why it matters: This research could lead to nutritional interventions to hinder or prevent cognitive decline, offering a new approach beyond traditional drug treatments.

Nature inspires advances in silicon electronics

KAUST ·

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.

Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities

arXiv ·

This paper explores the use of deep learning for anomaly detection in sports facilities, with the goal of optimizing energy management. The researchers propose a method using Deep Feedforward Neural Networks (DFNN) and threshold estimation techniques to identify anomalies and reduce false alarms. They tested their approach on an aquatic center dataset at Qatar University, achieving 94.33% accuracy and 92.92% F1-score. Why it matters: The research demonstrates the potential of AI to improve energy efficiency and operational effectiveness in sports facilities within the GCC region.

KAUST and the promise of reinvention

KAUST ·

J. Carlos Santamarina, a Professor of Earth Science and Engineering at KAUST, is researching geomaterial behavior and subsurface processes. His work focuses on energy geo-engineering, resource recovery, and geological storage of energy waste. He uses particle-level experiments, numerical methods, and monitoring systems to understand coupled thermo-hydro-bio-chemo-mechanically processes. Why it matters: This research contributes to energy sustainability and addresses global energy challenges through advanced geotechnology.