Making all research data accessible, discoverable, and usable
Globus Labs is a research group led by Prof. Ian Foster and Dr. Kyle Chard that spans the Computation Institute, Department of Computer Science, and Math and Computer Science Division at the University of Chicago and Argonne National Laboratory. Our modest goal is to realize a world in which all research data are reliably, rapidly, and securely accessible, discoverable, and usable. To this end, we work on a broad range of research problems in data-intensive computing and research data management. Our work is made possible by much-appreciated support from the National Science Foundation, National Institutes of Health, Department of Energy, National Institute of Standards and Technology, and other sources, and in addition to computer science, engages fields as diverse as materials science, biology, archaeology, climate policy, and social sciences. We work closely with the team developing the Globus research data management platform, who often challenge us to think bigger—and sometimes implement our less crazy ideas.
Logan’s paper, titled “Quantum Chemically Informed Machine Learning: Prediction of Energies of Organic Molecules with 10 to 14 Non-Hydrogen Atoms”, is accepted to the Journal of Physical Chemistry A.
Logan’s paper, titled “A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al”, is accepted to ACS Combinatorial Science.
Marcus Schwarting gave a presentation to summer students at Argonne National Lab on Machine Learning for Materials Science and Chemistry.
2020 CDAC Summer Lab has started with Globus Labs hosting four students.