1 citations · 1 across the 5 of their papers we have counts for
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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…
Animating Petascale Time-varying Data on Commodity Hardware with LLM-assisted Scripting
Ishrat Jahan Eliza, Xuan Huang, Aashish Panta +4
Scientists face significant visualization challenges as time-varying datasets grow in speed and volume, often requiring specialized infrastructure and expertise to handle massive d…
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…