news, journals and articles from all over the world.
The Scientific Data and Computing Center (SDCC) at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory now stores more than 300 petabytes of data. That’s far more data than would be needed to store everything written by humankind since the dawn of history — or, if you prefer your media in video format, all the movies ever created.
A new experimental technique, reported by researchers at the University of Illinois Urbana-Champaign in the journal APL Materials, directly measures heating in spintronic devices, allowing direct comparison to other effects.
Today, The Grainger College of Engineering at the University of Illinois Urbana-Champaign joined other partners from around the state in officially announcing its leadership role in the Illinois Quantum and Microelectronics Park.
On March 11, PPPL opened its new Quantum Diamond Lab, a space devoted to studying and refining the processes involved in using plasma, the electrically charged fourth state of matter, to create high-quality diamond material for quantum information science applications.
Researchers use game theory to analyze the eco-label strategy selection of the manufacturer in green supply chain.
Large Language Models (LLMs) such as ChatGPT and Bard have taken the world by storm this year, with companies investing millions to develop these AI tools, and some leading AI chatbots being valued in the billions.
In a new breakthrough, researchers have used a novel technique to confirm a previously undetected physics phenomenon that could be used to improve data storage in the next generation of computer devices.
A team of scientists with Oak Ridge National Laboratory has investigated the behavior of hafnium oxide, or hafnia, because of its potential for use in novel semiconductor applications.
A study published in Nature found that, while protected areas in Southeast Asia were shown to be good for animals inside their borders, as expected, that protection also extended to nearby unprotected areas, which was a surprise.
In a new Q&A, microelectronics expert and CHiPPS Director Ricardo Ruiz shares his perspective on keeping pace with Moore’s Law in the decades to come through a revolutionary technique called extreme ultraviolet lithography.
Today, it was announced that Rensselaer Polytechnic Institute will become the first university in the world to house an IBM Quantum System One. The IBM quantum computer, intended to be operational by January of 2024, will serve as the foundation of a new IBM Quantum Computational Center in partnership with Rensselaer Polytechnic Institute (RPI). By partnering, RPI’s vision is to greatly enhance the educational experiences and research capabilities of students and researchers at RPI and other institutions, propel the Capital Region into a top location for talent, and accelerate New York’s growth as a technology epicenter.
Scientists have used a recently developed technique to improve predictions of the timing and intensity of the solar wind’s strikes, which sometimes disrupt telecommunications satellites and damage electrical grids.
Experts in high-performance computing and data management are gathering in Norfolk next week for the 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP2023). Held approximately every 18 months, this high-impact conference will be held at the Norfolk Marriott Waterside in Norfolk, Va., May 8-12. CHEP2023 is hosted by the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility in nearby Newport News, Va. This is the first in-person CHEP conference to be held since 2019.
The Quantum Systems Accelerator has issued an impact report that details progress made since the center launched in 2020. Highlights include a record-setting quantum sensor that could be used to hunt dark matter, a machine learning algorithm to correct qubit errors in real time, and the first observation of several exotic states of matter using a 256-atom quantum device.
SLAC researcher Sadasivan Shankar talks about a new environmental effort starting at the lab – building a roadmap that will help researchers improve the energy efficiency of computing, from devices like cellphones to artificial intelligence.
Rensselaer Polytechnic Institute’s James Hendler is the Director of the Future of Computing Institute; Tetherless World Professor of Computer, Web and Cognitive Sciences; and Director of the RPI-IBM Artificial Intelligence Research Collaboration. “In a nutshell, ChatGPT creates something not dissimilar…
DOE funding allows researchers to gain closer look into plant-microbe symbioses.
PPPL moved forward with plans to build the Princeton Plasma Innovation Center (PPIC), a new state-of-the-art office and laboratory building and the first new building on campus in 50 years. The project kicked off during a meeting with architects on July 8.
The Washington State Academy of Sciences added six people from PNNL to its 2022 class of inductees.
Today, the U.S. Department of Energy (DOE) announced $78 million in funding for 58 research projects that will spur new discoveries in high energy physics. The projects—housed at 44 colleges and universities across 22 states—are exploring the fundamental science about the universe that also underlies technological advancements in medicine, computing, energy technologies, manufacturing, national security, and more.
The work, led by Johns Hopkins University, the Georgia Institute of Technology, and University of Washington researchers, is believed to be the first to show that robots loaded with an accepted and widely used model operate with significant gender and racial biases. The work is set to be presented and published this week at the 2022 Conference on Fairness, Accountability, and Transparency.
Valhalla, a Python-based performance modeling framework developed at Sandia National Laboratories, uses high-performance computing to build preliminary satellite designs based on mission requirements and then runs those designs through thousands of simulations.
A new research centre that focuses on next-generation artificial intelligence (AI) technology will develop the high-calibre expertise Australia needs to compete in the coming machine learning-enabled global economy.
The scientific computing and networking leadership of the U.S. Department of Energy’s (DOE’s) national laboratories will be on display at SC21, the International Conference for High-Performance Computing, Networking, Storage and Analysis. The conference takes place Nov. 14-19 in St. Louis via a combination of on-site and online resources.
Scientists at Sandia National Laboratories are creating a concept for a new kind of computer for solving complex probability problems that involve random chance.
Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming current limitations of modern computing architectures based on electron flows and digital approaches. In a new study published…
Scientists at PPPL have transferred a technique from one realm of plasma physics to another to enable the more efficient design of powerful magnets for doughnut-shaped fusion facilities known as tokamaks.
The U.S. Department of Energy (DOE) announced $15.1 million for three collaborative research projects, at five universities, to advance the development of a flexible multi-tiered data and computational infrastructure to support a diverse collection of on-demand scientific data processing tasks and computationally intensive simulations.
Scientists at Berkeley Lab and UC Berkeley have created an ultrathin magnet that operates at room temperature. The ultrathin magnet could lead to new applications in computing and electronics – such as spintronic memory devices – and new tools for the study of quantum physics.
Scientist demonstrated a new way of observing atoms as they move in a tiny quantum electronic switch as it operates. Along the way, they discovered a new material state that could pave the way for faster, more energy-efficient computing.
Computers play an integral role in nearly every discipline of research today, giving scientists the ability to discover new drugs, develop new materials, forecast the impacts of climate change, and solve some of today’s most challenging problems.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.
The Coalition for Academic Scientific Computation, or CASC — a network of more than 90 research computing-focused organizations from academic institutions, national labs, and research centers around the U.S. — hopes to continue to bring this critical computing work to the forefront through its activities. Newly elected leadership and recent changes within CASC are helping the nonprofit organization excel in this mission.
The prodigious amount of data produced at the Large Hadron Collider presents a major challenge for data analysis. Coffea, a Python package developed by Fermilab researchers, speeds up computation and helps scientists work more efficiently. Around a dozen international LHC research groups now use Coffea, which draws on big data techniques used outside physics.
The U.S. Air Force and the Department of Energy’s Oak Ridge National Laboratory launched a new high-performance weather forecasting computer system that will provide a platform for some of the most advanced weather modeling in the world.
A research team at Sandia National Laboratories has successfully used machine learning — computer algorithms that improve themselves by learning patterns in data — to complete cumbersome materials science calculations more than 40,000 times faster than normal.
Applying his passions for science and art, Nikhil Tiwale—a postdoc at Brookhaven Lab’s Center for Functional Nanomaterials—is fabricating new microelectronics components.
Four Rutgers professors have been named fellows of the American Association for the Advancement of Science (AAAS), an honor given to AAAS members by their peers. They join 485 other new AAAS fellows as a result of their scientifically or socially distinguished efforts to advance science or its applications. A virtual induction ceremony is scheduled for Feb. 13, 2021.
PNNL’s new Smart Power Grid Simulator, or Smart-PGsim, combines high-performance computing and artificial intelligence to optimize power grid simulations without sacrificing accuracy.
Globus, a leading research data management service, reached a huge milestone by breaking the exabyte barrier. While it took over 2,000 days for the service to transfer the first 200 petabytes (PB) of data, the last 200PB were moved in just 247 days. This rapidly accelerating growth is reflected by the more than 150,000 registered users who have now transferred over 120 billion files using Globus.
Three Fermilab scientists have been selected 2020 fellows of the American Physical Society, a distinction awarded each year to no more than one-half of 1 percent of current APS members by their peers.
Fermilab scientists have implemented a cloud-based machine learning framework to handle data from the CMS experiment at the Large Hadron Collider. Now they can begin to use graph neural networks to boost their pattern recognition abilities in the search for new particles.
An international group of researchers has developed a technique that forecasts how tokamaks might respond to unwanted magnetic errors. These forecasts could help engineers design fusion facilities that create a virtually inexhaustible supply of safe and clean fusion energy to generate electricity.
A new design facility, located at the University of Adelaide, will offer organisations and individuals a space in which to push the boundaries of technical, industrial and business innovation.
Today, the White House Office of Science and Technology Policy, the National Science Foundation (NSF), and the U.S. Department of Energy (DOE) announced over $1 billion in awards for the establishment of 12 new artificial intelligence (AI) and quantum information science (QIS) research institutes nationwide.
Researchers led by PPPL have upgraded a key computer code for calculating forces acting on magnetically confined plasma in fusion energy experiments. The upgrade will help scientists further improve the design of breakfast-cruller-shaped facilities known as stellarators.
The Department of Energy is supporting the development of both conventional exascale supercomputers and quantum computers. Each provide benefits that could transform scientific research.
Machine learning performed by neural networks is a popular approach to developing artificial intelligence, as researchers aim to replicate brain functionalities for a variety of applications. A paper in the journal Applied Physics Reviews proposes a new approach to perform computations required by a neural network, using light instead of electricity. In this approach, a photonic tensor core performs multiplications of matrices in parallel, improving speed and efficiency of current deep learning paradigms.
To meet the needs of tomorrow’s supercomputers, the National Nuclear Security Administration’s (NNSA’s) Lawrence Livermore National Laboratory (LLNL) has broken ground on its Exascale Computing Facility Modernization (ECFM) project, which will substantially upgrade the mechanical and electrical capabilities of the Livermore Computing Center.
During an internship at Brookhaven National Laboratory, Juliette Stecenko is using modern supercomputers and quantum computing platforms to perform astronomy simulations that may help us better understand where we came from.
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