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J. Alnasir

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Review Sep 2026

AI-Driven Scientific Computing Workflows: A Systems Review of Orchestration, Execution, Reproducibility and Provenance

Artificial intelligence (AI) is increasingly embedded within scientific computing workflows that combine simulation, data processing, optimisation, visualisation and experimental or observational components. Learned models may serve as explicit workflow components, retain persistent state and, in adaptive settings, inf...

J. Alnasir · 0 citations

Twelve quick tips for designing AI-driven HPC workflows

This article offers a framework for transitioning from rigid execution pipelines to adaptive, intelligent computational environments, broadly applicable across distributed environments, they are particularly tailored to the resource-intensive throughput demands of modern computational biology.

J. Alnasir · 0 citations

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