Open-Access Self-Driving Laboratory | Platforms | INSTITUTE…

IMMS is a platform-based research hub at Ewha Womans University advancing multiscale matter and systems research through integrated platforms, core projects, a…

Open-Access Self-Driving Laboratory

The Open-Access Self-Driving Laboratory (OA-SDL) is a core IMMS research platform that implements AI-driven autonomous experimentation. Operated as shared infrastructure, OA-SDL accelerates the research lifecycle by enabling continuous, automated experimentation for a broad research community.

Researcher interacting with a digital laboratory interface
OA-SDL links AI planning, experimental workflows, and data-learning loops within the IMMS framework.

OA-SDL / OPEN-ACCESS SELF-DRIVING LABORATORY

A core IMMS platform for autonomous, data-driven research

The Open-Access Self-Driving Laboratory (OA-SDL) serves as the practical research engine of the IMMS framework, combining artificial intelligence-driven hypothesis generation, robotics-enabled automated experimentation, and real-time data analysis into a seamless autonomous system. This integrated environment dramatically enhances research productivity beyond traditional manual experiment workflows by enabling continuous, self-optimizing experimentation.

OA-SDL operates under an open-access model, meaning that it is not restricted to single labs. Researchers from academic institutions, industry partners, and research organizations worldwide can leverage this shared infrastructure and methodologies to pursue collaborative research. By doing so, OA-SDL fosters interdisciplinary cooperation, accelerates the translation of research outcomes, and supports a diverse range of scientific challenges.

More than a facility, OA-SDL represents a new paradigm in data-driven research, enabling researchers to focus on strategic thinking and creative discovery while routine experimentation is managed autonomously. The platform is closely integrated with IMMS's Technical Groups and Core Projects, providing a unifying base for multiscale, problem-oriented research across the institute.

A core IMMS platform for autonomous, data-driven research

Key Features

  • AI-driven hypothesis generation and decision support
  • Robotics-enabled automated synthesis and experimentation
  • Real-time data acquisition, analysis, and learning loops
  • 24/7 autonomous operational capability
  • Open-access collaboration across academic and industrial communities

Who Can Access OA-SDL?

  • IMMS researchers (Technical Groups and Core Projects)
  • International academic collaborators
  • Industry and research institution partners

ROLE IN THE IMMS FRAMEWORK

OA-SDL turns the TG-CP framework into repeatable research cycles

OA-SDL connects Technical Groups and Core Projects through shared autonomous experimentation infrastructure, making AI planning, robotic execution, real-time data learning, and multiscale research feedback operate as one IMMS research system.

  1. 01

    Research Framework

    Multiscale research goals define the materials behavior, evidence, and system outcomes that OA-SDL helps connect.

  2. 02

    Technical Groups and Core Projects

    TG expertise and CP missions shape the hypotheses, constraints, and validation needs for each autonomous research cycle.

  3. 03

    OA-SDL Platform

    AI decision support, robotics-enabled experimentation, and real-time data capture provide the shared engine for continuous research execution.

  4. 04

    Research Outcomes

    Validated results return to the framework as publications, collaboration models, translated outcomes, and new research directions.