DOE OSTI · 3007903
A2SD: Accelerating Scientific Innovation Through Autonomous Discovery Systems
Abstract
The 2025 Advancing Autonomous Scientific Discovery (A2SD) workshop convened researchers from academia, national laboratories, and industry to explore the transformative role of autonomy in scientific discovery. The workshop highlighted a convergence of artificial intelligence, robotics, and computational workflows into autonomous systems capable of accelerating the scientific process. Presentations and discussions spanned autonomous experimentation, intelligent workflow orchestration, digital twins, and agent-based systems for managing complex research ecosystems. Key challenges discussed included interoperability across heterogeneous infrastructures, near real-time data management under FAIR principles, reproducibility, and the integration of human oversight. The workshop also emphasized the need for modular software interfaces, federated learning models, and education initiatives to support a next-generation scientific workforce.
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Taufer, Michela [University of Tennessee, Knoxville (UTK)], Ferreira Da Silva, Rafael [ORNL] (ORCID:0000000217200928), Mintz, Ben [ORNL], Abolhasani, Milad [North Carolina State University (NCSU), Raleigh], Badia, Rosa [Barcelona Supercomputing Center], Deelman, Ewa [University of Southern California, Information Sciences Institute], Moore II, Rob [ORNL] (ORCID:0000000216085411), Shalf, John [Lawrence Berkeley National Laboratory (LBNL)]. 2025-11-01. A2SD: Accelerating Scientific Innovation Through Autonomous Discovery Systems. https://doi.org/10.1007/978-3-032-07612-0_52
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