3.6k citations · 29.1k across the 119 of their papers we have counts for
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FAIR AI Models in High Energy Physics
Javier Duarte, Haoyang Li, Avik Roy +14
The findable, accessible, interoperable, and reusable (FAIR) data principles provide a framework for examining, evaluating, and improving how data is shared to facilitate scientifi…
Numerical relativity higher order gravitational waveforms of eccentric, spinning, non-precessing binary black hole mergers
Abhishek V. Joshi, Shawn G. Rosofsky, Roland Haas +1
We use the open source, community-driven, numerical relativity software, the Einstein Toolkit to study the physics of eccentric, spinning, nonprecessing binary black hole mergers w…
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy
Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta +7
A concise and measurable set of FAIR (Findable, Accessible, Interoperable and Reusable) principles for scientific data is transforming the state-of-practice for data management and…