Autonomous Science Network

Interconnected autonomous labs for accelerated discovery

We are building the AISLE ecosystem where AI agents, robotics, and leadership-class HPC co-orchestrate experiments across institutions. The result is a continuously learning, interoperable laboratory fabric that compresses discovery cycles from years to weeks.

Join the network Read the roadmap
Agentic orchestrationClosed-loop planning and decisioning
Data fabricFAIR provenance and federated access
HPC co-schedulingSimulations and digital twins on demand

What we are building now

A community-owned autonomy stack that connects instruments, agents, and compute so labs can collaborate as a single intelligent system.

Instrument APIs Policy-aware access Digital twins Human-in-the-loop
Next convening

SC25 BoF: Interconnected Autonomous Science Labs

View session details

AISLE network architecture

The AISLE architecture defines how autonomous labs exchange data, reasoning, and experiments across institutions. It unifies instrumentation, intelligent data management, and agentic decisioning through a shared data fabric.

  • Instrument integration
    Standardized interfaces that let agents control heterogeneous lab assets.
  • AI decision loops
    Models and agents that adapt experiments based on live observations.
  • Interoperable protocols
    Secure, cross-lab communication for coordinated workflows.
AISLE network overview

Four pillars of autonomous science

Each pillar advances the shared capability for scalable, trusted, and rapid discovery.

Autonomous instrumentation

Vendor-agnostic control, calibration, and orchestration across robotic platforms.

Agentic intelligence

AI agents plan, reason, and optimize experiments in collaboration with scientists.

HPC + digital twins

Simulation, surrogate models, and twin ecosystems tighten the decision loop.

Trust + provenance

FAIR, auditable, and policy-aware pipelines enable reproducible autonomous science.

Programs and community

We convene workshops, publish reports, and share open roadmaps to align the community around shared technical standards, infrastructure, and governance.

Explore workshops Read reports

Workshops

Deep technical exchanges on agentic labs, AI workflows, and infrastructure.

View upcoming workshops

BoF Sessions

Open forums to surface requirements and accelerate collaboration.

Browse Birds of a Feather

Reports

Community-authored documents that capture progress and open challenges.

See community reports

Steering Council

Cross-institution leadership guiding strategy and interoperability priorities.

Meet the council

Build the autonomous science fabric with us

Join laboratories, HPC centers, and AI teams working to scale autonomous discovery across scientific domains.

Get involved