Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …

The Workflows Community Summit gathered 111 participants from 18 countries to discuss
emerging trends and challenges in scientific workflows, focusing on six key areas: time …

Recording the provenance of scientific computation results is key to the support of
traceability, reproducibility and quality assessment of data products. Several data models …

We address the increasing complexity of scientific workflows in the context of high-
performance computing (HPC) and their associated need for robust, adaptable, and flexible …

We present Jobflow, a domain-agnostic Python package for writing computational workflows
tailored for high-throughput computing applications. With its simple decorator-based …

Early diagnosis and accurate judgment are paramount in cancer diagnosis and treatment.
Establishing an effective cancer early warning system is crucial to improve patient outcomes …

It is generally desirable for high-performance computing (HPC) applications to be portable
between HPC systems, for example to make use of more performant hardware, make …

Workflow managers play a critical role in the efficient planning and execution of complex
workloads. A handful of these already exist within the world of computational materials …

Modern scientific workflows require hybrid infrastructures combining numerous
decentralized resources on the IoT/Edge interconnected to Cloud/HPC systems (aka the …

Scientific workflow applications have gained significant importance, and their automated
and efficient execution on large-scale computing platforms has been the subject of extensive …