Commit af7622f0 authored by Wohlgemuth, Jason's avatar Wohlgemuth, Jason
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docs(paper): Add UT-Battelle acknowledgement

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@@ -37,5 +37,8 @@ Trustworthy research is hard work — harder than closed-model research. But aut

ACORN can enable quick analysis of research project portfolios, allowing decision-makers to pick and pull solutions for execution, sponsor discussions, and mission applications. ACORN has three main outputs: analysis-ready data applicable to AI/ML research; target artifacts: from the ACORN-enabled content process that creates a single source of truth for research activity data from which users can generate content pieces; and understanding: maintaining data in the same format for programmatic analysis and enhanced understanding and better application of AI/ML practices. This collection of tools allows researchers to leverage the benefits of connected data and automate numerous tasks essential to science and communication.

# Acknowledgment
This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the work for publication, acknowledges that the US government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the submitted manuscript version of this work, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the [DOE Public Access Plan](https://energy.gov/doe-public-access-plan).

# References
> 🚧 Under construction
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