January 23, 2023
UT-Arlington Researcher Plumbs Reconfigurable Quantum Circuits for High-Performance Computers and Cellphones
The new devices also act as traditional logic gates but are so novel that they will let circuits alternate between tasks.
January 17, 2023
Ming Ye: Then and Now / 2012 Early Career Award Winner
Ming Ye develops multi-disciplinary approaches to reduce uncertainty in environmental studies, helping to support science-informed decisions.
January 6, 2023
Accelerating and Improving Smart Use of Big Data to Predict Earth System Processes
Building a robust Artificial Intelligence (AI) and Machine Learning (ML) platform for researchers
January 3, 2023
Compile-O-Matic
An Early Career awardee wants to automate the most vexing aspects of traditional scientific software development for supercomputers.
December 12, 2022
Working Toward a Better Understanding of the Future of Water in the Western United States
The Surface Atmosphere Integrated Field Laboratory will reveal new insights into the flow of water from atmosphere to bedrock.
December 5, 2022
Hank Childs: Then and Now / 2012 Early Career Award Winner
Computer science professor Hank Childs develops new ways to manage the large data sets generated by supercomputers.
November 28, 2022
Tulane University Professor Uses an Early Career Program Grant to Smooth Visualization of Large Datasets
Brian Summa’s research is guided by a ground-floor view of digital-visualization development and the challenges in creating and sharing them.
November 17, 2022
Launching a New Class of U.S. Supercomputing
Exascale computers are enabling revolutionary science, but it took years to reach this level of computing technology.
November 14, 2022
Efficient and Inclusive
Argonne computer scientist works on power and processor efficiency while diversifying the workforce.
November 10, 2022
ASU Leads $25M Project to Develop Southwest Urban Integrated Field Laboratory
The ASU-led partnership aims to advance urban climate research, develop solutions for Arizona's most heat-vulnerable.