Ming Ye develops multi-disciplinary approaches to reduce uncertainty in environmental studies, helping to support science-informed decisions.
Building a robust Artificial Intelligence (AI) and Machine Learning (ML) platform for researchers
An Early Career awardee wants to automate the most vexing aspects of traditional scientific software development for supercomputers.
The Surface Atmosphere Integrated Field Laboratory will reveal new insights into the flow of water from atmosphere to bedrock.
Computer science professor Hank Childs develops new ways to manage the large data sets generated by supercomputers.
Brian Summa’s research is guided by a ground-floor view of digital-visualization development and the challenges in creating and sharing them.
Exascale computers are enabling revolutionary science, but it took years to reach this level of computing technology.
Argonne computer scientist works on power and processor efficiency while diversifying the workforce.
The ASU-led partnership aims to advance urban climate research, develop solutions for Arizona's most heat-vulnerable.
James McKinlay studies how to improve the sustainability and cost of biofuels by understanding how microbes establish and maintain cooperative relationships.