Advancing research with
data-driven expertise
RTO not only furthers research through technology and expertise, it is a research leader in data-driven discovery and innovation in its own right. Its experts lead and collaborate on research projects across the university, the nation and the world — from using artificial intelligence to accelerate protein discovery to advancing computational methods.
CIREN
ASU, in collaboration with the University of Tennessee, Knoxville, leads the Cross-Institutional Research Engagement Network (CIREN) for cyberinfrastructure facilitators. The purpose of this NSF-funded project is to help fill a critical deficit of CI facilitators. The program provides training to current and future facilitators to expand their ability to engage in transformational research using high-performance computing, machine learning and artificial intelligence.
CCMNet
ASU is a lead collaborator in the Cyberinfrastructure Community Mentorship Network (CCMNet). This National Science Foundation-funded network unites cyberinfrastructure professionals to enhance community support for research and academic institutions. Through peer mentoring engagements, CCMNet maximizes the use of cyberinfrastructure for research advancement.
Regulated Research Community of Practice (RRCoP)
ASU is proud to lead the national Regulated Research Community of Practice (RRCoP), a thriving network of over 350 institutions committed to advancing knowledge, resources and best practices for managing federally regulated research. Through RRCoP, ASU plays a central role in shaping the national dialogue on research security, compliance and infrastructure. Hosting this community reflects ASU’s leadership in this critical space.
Jetstream2
ASU is one of five national sites operating the advanced computing systems that make up Jetstream2. Funded by the NSF, Jetstream2 is a user-friendly cloud computing environment designed for researchers and educators. Its purpose is to simplify data analysis, boost discovery and increase the availability of AI resources. It provides infrastructure for gateways and other “always on” services and offers researchers on-demand access to interactive computing and data analysis resources. With a focus on ease of use and broad accessibility, Jetstream2 is designed for those who have not previously used high performance computing (HPC) and software resources. ASU Research Computing leads the university’s efforts as part of this project.
QC4MC (Quantum Computing for Materials Science and Chemistry)
Quantum computers are on the brink of addressing problems that classical computers can’t solve today. ASU is developing a workforce capable of filling vital jobs that advance quantum technologies, promote national security and strengthen economic growth. Funded by the NSF CyberTraining initiative, students and researchers will learn the fundamentals of quantum computing with an emphasis on materials science and chemistry. Participants will gain hands-on experience with state-of-the-art IBM quantum hardware and NVIDIA GPU-based simulators through virtual sessions and immersive summer workshops.
Research activities supported by RTO experts
Quantum Computing Sustainability Working Group
Supported by Torey Battelle
Quantum chemistry: Battery and concrete manufacture
Quantum computers have the potential to address problems that are not practical for classical computers. Quantum chemistry is one area that stands to benefit. This project uses quantum computing to look for new materials that could improve the performance of batteries and concrete and make their production more sustainable and environmentally responsible.
Semiconductor supply chain optimization
Optimization is another area in which quantum computers excel. This project aims to study how different parts of the semiconductor supply chain work together by collecting and analyzing data from multiple companies. It will look at how semiconductors are made, where inventory is stored, and how companies might bring production back to the U.S. or find other sources. The goal is to see how quantum computing could help improve decision-making and planning — making the system more flexible, cutting down wait times and better handling tradeoffs across the global supply chain.
NAIRR User Experience Working Group
Supported by Marisa Brazil
The National Artificial Intelligence Research Resource (NAIRR) User Experience Working Group ensures researchers and educators can effectively use its computational, data, model and software resources. The group engages with users from different disciplines and experience levels to understand their needs. It also organizes training and identifies barriers to accessibility or usability. By focusing on the overall quality of the user experience — whether technical, educational or logistical — this working group helps support the research and educational communities that NAIRR serves nationwide.
Campus Champions Community of Practice
Supported by Juanjo Garcia Mesa
The Campus Champions is a diverse community of research computing and data professionals tackling grand challenges with advanced computing. These Champions help connect researchers to national cyberinfrastructure resources such as NSF’s Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program.
Learn more about Campus Champions.
CoMSES Net
Supported by Marisa Brazil
The Network for Computational Modeling in the Social and Ecological Sciences (CoMSES Net), is an open community of researchers, educators, and professionals with a common goal — improving the way we develop, share, use and reuse agent-based and computational models for the study of social and ecological systems. They maintain the CoMSES Model Library, a digital repository that supports discovery, good practices and the FAIR Principles for Research Software.
Purdue University’s Anvil Supercomputer
Supported by Marisa Brazil
Anvil is a powerful supercomputer at Purdue University that provides advanced computing capabilities to support a wide range of computational and data-intensive research spanning from traditional high performance computing to modern artificial intelligence applications. Anvil is funded by the National Science Foundation and provides significant capacity to the NSF’s ACCESS program, which serves tens of thousands of researchers across the U.S.
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