Milestones

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• EY23.4.1.O: Model matrix testing of multiple Aspen versions.

  FOQUS Platform Development & Build Environment Update SimSinter, TurbineLite, Aspen, Windows 2022 Server Updates Josh Boverhof, Ludovico B, Karlo B

  Overdue by 2 year(s)

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  Due by December 15, 2023

  •1/1 issues closed
  100% complete0 open1 closed

• EY23.4.1.N: Improvements to single-user FOQUS Cloud usability and documentation.

  Josh Boverhof

  Overdue by 2 year(s)

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  Due by December 15, 2023
  0% complete0 open0 closed

• EY23.4.1.M: Expand existing Surrogates toolbar to support generating simple neural network models in FOQUS (TensorFlow Keras, PyTorch, Sci-Kit Learn, Surrogate Modeling Toolbox).

  Brandon, Ludovico & Isaac

  Overdue by 2 year(s)

  •

  Due by December 15, 2023

  •3/3 issues closed
  100% complete0 open3 closed

• EY23.4.1.K: Automated test coverage improvements for FOQUS to reduce portion of code base not exercised by CI system.

  Ludovico, Issac?

  Overdue by 2 year(s)

  •

  Due by September 30, 2023

  •4/4 issues closed
  100% complete0 open4 closed

• EY23.4.1.J: Improve the efficacy of the current source code analysis tools used in the CI system to begin to enforce typing, detect bugs, security issues, style guide violations and possible performance problems outside of the testing framework.

  Ludovico & Keith

  Overdue by 2 year(s)

  •

  Due by September 30, 2023

  •3/3 issues closed
  100% complete0 open3 closed

• EY23.4.1.I: SDoE FOQUS Cloud support to allow parallel execution of USF, NUSF, and IRSF functions.

  Pedro

  Overdue by 2 year(s)

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  Due by September 30, 2023

  •6/6 issues closed
  100% complete0 open6 closed

• EY23.4.1.H: Implement FOQUS support for Surrogate Modeling Toolbox GENN models.

  Brandon

  Overdue by 2 year(s)

  •

  Due by September 30, 2023

  •1/1 issues closed
  100% complete0 open1 closed

• EY23.4.1.G: New release of the MGN repo (integration with Subtask 4.3).

  Phan

  Overdue by 2 year(s)

  •

  Due by September 30, 2023
  0% complete0 open0 closed

• EY23.4.1.E: Improved FOQUS Cloud diagnostic tools supporting large UQ/Optimizations/OUU runs.

  Josh Boverhof

  Overdue by 3 year(s)

  •

  Due by June 30, 2023

  •1/1 issues closed
  100% complete0 open1 closed

• EY23.4.1.D: Refactoring FOQUS plugin infrastructure to resolve current issues such as unclear runtime errors when optional dependencies are missing or misconfigured.

  Ludovico & Keith

  Overdue by 2 year(s)

  •

  Due by September 30, 2023

  •4/5 issues closed
  80% complete1 open4 closed

• EY23.4.1.B: Implement FOQUS support for generating gradient data required for GENN models.

  Personnel: Brady Gess (intern, main developer), Brandon Paul (mentor), Joshua Morgan (mentor), Miguel Zamarripa (supervisor) Description: Gradient-enhanced neural network (GENN) models use derivatives to inform graph training and are more accurate for multi-input, multi-output problems. Training GENN models requires knowing the derivatives a priori; for a sampled or simulation-produced dataset, these derivatives must be calculated. This project aims to develop a CCSI2 tool to calculates gradients for an arbitrary input dataset to support loading and training GENN models in FOQUS. Current status: Tool and methods are in-development, and various implementations are being tested for accuracy against a publicly-available sample problem. Original due date: 6/30 Modified due date: 7/31 or later (end of the summer, probably mid to late August to give Brady time to complete the work)

  Overdue by 2 year(s)

  •

  Due by September 30, 2023

  •1/1 issues closed
  100% complete0 open1 closed