From a8fac2264aa58dfcb0885df28ed7c8ad2b276d29 Mon Sep 17 00:00:00 2001 From: "Daniel S. Katz" Date: Mon, 18 Dec 2023 10:23:20 -0600 Subject: [PATCH] Update paper.md --- docs/papers/joss/paper.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/papers/joss/paper.md b/docs/papers/joss/paper.md index 9225bad22..598e413a5 100644 --- a/docs/papers/joss/paper.md +++ b/docs/papers/joss/paper.md @@ -95,7 +95,7 @@ paradigm eliminates the need for users to explicitly define task dependencies. Instead, it emphasizes data dependencies between these customizable Python user functions. This modular design also lends itself to exploiting the large library of example user functions provided with libEnsemble or -available from the community (e.g., [@libEnsembleCommunityExamples]), +available from the community (e.g., @libEnsembleCommunityExamples), maximizing code reuse. For instance, users can readily choose an existing generator function and tailor a simulator function to their particular needs. @@ -158,14 +158,14 @@ Examples of libEnsemble applications in science and engineering include the foll - Optimization of variational algorithms on quantum computers [@Liu2022layer] - Parallelization of the ParMOO solver for multiobjective simulation optimization problems [@ParMOODesign23] -- Design of particle accelerators [@Neveu2023] [@PhysRevAccelBeams.26.084601] [@Pousa22] +- Design of particle accelerators [@Neveu2023; @PhysRevAccelBeams.26.084601; @Pousa22] - Sequential Bayesian experimental design [@Surer2023] and Bayesian calibration [@MCMPSW2022] A selection of community-provided libEnsemble functions and workflows that -users can build off is maintained in [@libEnsembleCommunityExamples]. +users can build off is maintained in @libEnsembleCommunityExamples. Additional details on the parallel features and scalability of libEnsemble can -be found in [@Hudson2022] and [@libensemble-man]. +be found in @Hudson2022 and @libensemble-man. # Acknowledgments