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CITATION.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Autonomous MultiScale Library
message: 'If you use this software, please cite it as below'
type: software
authors:
- given-names: "Konstantinos"
family-names: "Parasyris"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Loïc"
family-names: "Pottier"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Daniel J."
family-names: "Milroy"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Harsh"
family-names: "Bhatia"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Tapasya"
family-names: "Patki"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Stephanie"
family-names: "Brink"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Thomas"
family-names: "Stitt"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Daniel E."
family-names: "Laney"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Robert C."
family-names: "Blake"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Jae-Seung"
family-names: "Yeom"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Peer-Timo"
family-names: "Bremer"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
- given-names: "Charles"
family-names: "Doutriaux"
affiliation: >-
Livermore National Laboratory (LLNL), Livermore, CA
(United States)
identifiers:
- type: doi
value: 10.11578/dc.20230721.1
repository-code: 'https://github.com/LLNL/AMS'
url: 'https://github.com/LLNL/AMS'
abstract: >-
AMSLib provides the infrastructure to tightly couple
multi-scale physics simulation code with ML surrogate
model inference. It provides a wholistic runtime execution
paradigm to support uncertainty quantification, surrogate
model inference, persistent data storing throughout the
execution of a simulation
license: Apache-2.0
commit: '2023-05-01'
version: 0.0.0.alpha
date-released: '2023-05-01'