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Digital Twins Community Hub
A collaborative initiative to build a central hub for scientific digital twins, where researchers can share and reuse modular components (AI models, 3D assets, datasets, deployment artifacts) and discover reference implementations. By fostering community-driven standards, metadata schemes, and best practices, this effort aims to accelerate the adoption of digital twins across domains—especially environmental science—while enabling seamless collaboration on HPC‐grade, AI-driven workflows and visualizations.
June 2025
- 11 Jun
