# Secure API-Driven Research Automation to Accelerate Scientific Discovery

arXiv: https://arxiv.org/abs/2506.11950 · HTML: https://mlsanity.com/paper/2506.11950/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Jun 2025.

## Built on by (most cited first, 2 of 2)

- [From Edge to HPC: Investigating Cross-Facility Data Streaming Architectures](https://mlsanity.com/paper/2509.24030/) (2025)
- [An Agentic AI Framework to Accelerate Scientific Discovery in Plant Phenotyping](https://mlsanity.com/paper/2606.31831/) (2026)

## Abstract (arXiv)

The Secure Scientific Service Mesh (S3M) provides API-driven infrastructure to accelerate scientific discovery through automated research workflows. By integrating near real-time streaming capabilities, intelligent workflow orchestration, and fine-grained authorization within a service mesh architecture, S3M revolutionizes programmatic access to high performance computing (HPC) while maintaining uncompromising security. This framework allows intelligent agents and experimental facilities to dynamically provision resources and execute complex workflows, accelerating experimental lifecycles, and unlocking the full potential of AI-augmented autonomous science. S3M signals a new era in scientific computing infrastructure that eliminates traditional barriers between researchers, computational resources, and experimental facilities.
