Abstract
Connecting scientific instruments and robot-controlled laboratories with computing and data resources at the edge, the Cloud or the high-performance computing (HPC) center enables autonomous experiments, self-driving laboratories, smart manufacturing, and artificial intelligence (AI)-driven design, discovery and evaluation. The Self-driven Experiments for Science / Interconnected Science Ecosystem (INTERSECT) Open Architecture enables science breakthroughs using intelligent networked systems, instruments and facilities with a federated hardware/software architecture for the laboratory of the future. It relies on a novel approach, consisting of (1) science use case design patterns, (2) a system of systems architecture, and (3) a microservice architecture. This paper introduces the science use case design patterns of the INTERSECT Architecture. It describes the overall background, the involved terminology and concepts, and the pattern format and classification. It further offers an overview of the 12 defined patterns and 4 examples of patterns of 2 different pattern classes. It also provides insight into building solutions from these patterns. The target audience are computer, computational, instrument and domain science experts working in the field of autonomous experiments.
| Original language | English |
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| Title of host publication | Proceedings of the 28th European Conference on Pattern Languages of Programs, EuroPLoP 2023 |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9798400700408 |
| DOIs | |
| State | Published - Jul 5 2023 |
| Event | 28th European Conference on Pattern Languages of Programs, EuroPLoP 2023 - Irsee, Germany Duration: Jul 5 2023 → Jul 9 2023 |
Publication series
| Name | ACM International Conference Proceeding Series |
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Conference
| Conference | 28th European Conference on Pattern Languages of Programs, EuroPLoP 2023 |
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| Country/Territory | Germany |
| City | Irsee |
| Period | 07/5/23 → 07/9/23 |
Funding
Research sponsored by the Laboratory Directed Research and Development Program’s INTERSECT Initiative of Oak Ridge National Laboratory. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). The authors also thank the EuroPLoP’23 shepherd, Aliaksandr Birukou, the participants of the EuroPLoP’23 conference for helping to improve this paper and providing valuable feedback. Research sponsored by the Laboratory Directed Research and Development Program’s INTERSECT Initiative of Oak Ridge National Laboratory. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- autonomous experiments
- design patterns
- federated ecosystem
- smart laboratories
- system architecture