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Riju Dutta

PROFILE

Riju Dutta

Worked on the pyro-kinetics/pyrokinetics repository to enhance the numerical stability of gradient computations within the species module. Focused on scientific and numerical computing using Python, the main contribution involved replacing the use of np.isclose() with np.allclose() for zero-checks before division in gradient calculations. This adjustment required all elements to be near zero, reducing the risk of unstable gradients and preventing NaN or Infinity values during simulations. No new features were added during this period, but the targeted bug fix improved the reliability of gradient-based workflows and downstream optimization processes, reflecting careful attention to numerical robustness and code quality.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
0
Activity Months1

Your Network

11 people

Shared Repositories

11
Bhavin PatelMember
Bhavin PatelMember
David DickinsonMember
Daniel KennedyMember
Francis CassonMember
FelixWattsYorkMember
Juan Ruiz RuizMember
ILexiconIMember
Mantas AbazoriusMember

Work History

November 2024

1 Commits

Nov 1, 2024

November 2024 monthly summary for pyro-kinetics/pyrokinetics focused on numerical stability and reliability in gradient computations. No new feature releases this month; major improvement in numerical robustness for the species module.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Numerical ComputingScientific Computing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

pyro-kinetics/pyrokinetics

Nov 2024 Nov 2024
1 Month active

Languages Used

Python

Technical Skills

Numerical ComputingScientific Computing