6 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets
Aashish Panta, Hugo Lee, Giorgio Scorzelli +2
Modern scientific facilities and instruments generate datasets at scales that are difficult for individual researchers to discover, access, and explore. Although many datasets are…
Large Data Acquisition and Analytics at Synchrotron Radiation Facilities
Aashish Panta, Giorgio Scorzelli, Amy A. Gooch +11
Synchrotron facilities like the Cornell High Energy Synchrotron Source (CHESS) generate massive data volumes from complex beamline experiments, but face challenges such as limited…
Climate Data for Power Systems Applications: Lessons in Reusing Wildfire Smoke Data for Solar PV Studies
Arleth Salinas, Irtaza Sohail, Valerio Pascucci +8
Data reuse is using data for a purpose distinct from its original intent. As data sharing becomes more prevalent in science, enabling effective data reuse is increasingly important…
Web-based Visualization and Analytics of Petascale data: Equity as a Tide that Lifts All Boats
Aashish Panta, Xuan Huang, Nina McCurdy +7
Scientists generate petabytes of data daily to help uncover environmental trends or behaviors that are hard to predict. For example, understanding climate simulations based on the…