Genesis (6 min read)

The U.S. Department of Energy (DOE) and Arcee AI have jointly announced Genesis-Science-1 (GS1). It is a U.S.-made open-weight AI model designed to perform scientific research workflows while preserving reproducible work records.

Arcee AI leads the model development, while scientists at DOE's national laboratories are responsible for providing reviewed scientific materials, defining research tasks, designing evaluations, and validating results. The training data consists of experimental and observational data, supercomputing simulation outputs, materials and chemistry datasets, and research software, using only materials that have passed DOE's public review process.

GS1 is trained in a scientific workbench environment. Initial domains include HPC code modernization, experimental analysis, simulation campaigns, materials science, and energy systems, with the training environment including Python, Fortran, C/C++, MPI, OpenMP, CUDA, HIP, simulation packages, and compute schedulers.

The model operates in a sandbox-based governance execution environment, with decisions related to safety, security, publication, and resource use directly approved by humans. Unrestricted access to DOE systems is not granted.

The open-weight approach was adopted so that institutions can operate the model directly on their own infrastructure, preserve specific versions long-term, and adapt it to specialized domains without relying on external APIs. The release includes model weights, a technical report, and public workbench and demo artifacts.

The contribution portal is operated by Argonne National Laboratory (genesisopenmodels.anl.gov), accepting applications from universities, companies, and research institutions to contribute data, evaluations, and technical expertise. The deadline for the first contribution window is August 6, 2026.