Lifeboat Foundation

The goal of tackling global warming by turning carbon dioxide into fuel could be one step closer with researchers using a supercomputer to identify a group of “single-atom” catalysts that could play a key role.

Researchers from QUT’s Centre for Materials Science, led by Associate Professor Liangzhi Kou, were part of an international study that used theoretical modelling to identify six metals (nickel, niobium, palladium, rhenium, rhodium, zirconium) that were found to be effective in a reaction that can convert carbon dioxide into sustainable and clean energy sources.

The study published in Nature Communications involved QUT researchers Professor Aijun Du, Professor Yuantong Gu and Dr. Lin Ju.

The future of package delivery, taxis, and even takeout in cities may be in the air—above the gridlocked streets. But before a pizza-delivery drone can land safely on your doorstep, the operators of these urban aircraft will need extremely high-resolution forecasts that can predict how weather and buildings interact to create turbulence and the resulting impacts on drones and other small aerial vehicles.

While scientists have been able to run simulations that capture the bewilderingly complex flow of air around buildings in the urban landscape, this process can take days or even weeks on a supercomputing system—a timeline far too slow (and a task far too computationally expensive) to be useful to daily weather forecasters.

Continue reading “GPUs open the potential to forecast urban weather for drones and air taxis” »

Using far more advanced imaging techniques than those of their earlier contemporaries, researchers at the DOE’s Argonne National Laboratory are working to develop a brain connectome — an accurate map that lays out every connection between every neuron and the precise location of the associated dendrites, axons, and synapses that help form the communications or signaling pathways of a brain.

Sept. 24 2021 — As part of the Aurora Early Science Program, Nicola Ferrier of Argonne National Laboratory is leading a project that will use exascale computing power to help advance efforts to develop a brain connectome.

Continue reading “Preparing for Exascale: Argonne’s Aurora Supercomputer to Drive Brain Map Construction” »

An Australian/German company is developing powerful quantum accelerators the size of graphics cards. They work at room temperature, undercutting and outperforming today’s huge, cryo-cooled quantum supercomputers, and soon they’ll be small enough for mobile devices.

Dementia has many faces, and because of the wide range of ways in which it can develop and affect patients, it can be very challenging to treat. Now, however, using supercomputer analysis of big data, researchers from Japan were able to predict that a single protein is a key factor in the damage caused by two very common forms of dementia.

In a study published this month in Communications Biology, researchers from Tokyo Medical and Dental University (TMDU) have revealed that the protein HMGB1 is a key player in both frontotemporal lobar degeneration and Alzheimer disease, two of the most common causes of dementia.

Frontotemporal lobar degeneration can be caused by mutation of a variety of genes, which means that no one treatment will be right for all patients. However, there are some similarities between frontotemporal lobar degeneration and Alzheimer disease, which led the researchers at Tokyo Medical and Dental University (TMDU) to explore whether these two conditions cause damage to the brain in the same way.

Pandemic lockdown forces a new perspective on designs for futuristic AI-based computing devices.

Isaac Newton’s groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science.

A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the COVID-19 pandemic lockdown. By combining new supercomputing materials with specialized oxides, the researchers successfully demonstrated the backbone of networks of circuits and devices that mirror the connectivity of neurons and synapses in biologically based neural networks.

Continue reading “Futuristic AI-Based Computing Devices: Physicists Simulate Artificial Brain Networks With New Quantum Materials” »

The next generation of computing and information processing lies in the intriguing world of quantum mechanics. Quantum computers are expected to be capable of solving large, extremely complex problems that are beyond the capacity of today’s most powerful supercomputers.

New research tools are needed to advance the field and fully develop quantum computers. Now Northwestern University researchers have developed and tested a theoretical tool for analyzing large superconducting circuits. These circuits use superconducting quantum bits, or qubits, the smallest units of a quantum computer, to store information.

Circuit size is important since protection from detrimental noise tends to come at the cost of increased circuit complexity. Currently there are few tools that tackle the modeling of large circuits, making the Northwestern method an important contribution to the research community.

No Man’s Sky

Researchers have created what they say is the largest computer simulation of the universe, and have made the data available for anyone to download for free.

An international team associated with the Center for Computational Astrophysics created the virtual universe using ATERUI II, the world’s most powerful astronomical supercomputer, according to a press release by the organization. Dubbed Uchuu (the Japanese word for “outer space”), the simulation contains a staggering 2.1 trillion particles spanning 9.6 billion virtual light-years. That’s big. Real big.

Isaac Newton’s groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science.

A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the COVID-19 pandemic lockdown. By combining new supercomputing materials with specialized oxides, the researchers successfully demonstrated the backbone of networks of circuits and devices that mirror the connectivity of neurons and synapses in biologically based neural networks.

The simulations are described in the Proceedings of the National Academy of Sciences (PNAS).