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Celebrating 10 Years of EaPConnect! 🎉
For a decade, EaPConnect has empowered universities, research institutions, and students across Armenia, Azerbaijan, Georgia, Moldova, and Ukraine, providing high-capacity network infrastructure and fostering international collaboration.
As it nears completion in 2025, Rosanna Cramarossa Norman spoke with NREN directors about the project's impact.
🔗 Read the full interview in the latest edition of

Celebrating 10 Years of EaPConnect: Voices from the NRENs | GÉANT CONNECT Online
We are joined by the directors of the five NRENs beneficiary partners involved in the EU-funded ‘EU4Digital: Connecting Research and Education Communities (EaPConnect)’ project: ASNET from Armenia, AzScienceNet from Azerbaijan, GRENA from Georgia, RENAM from Moldova and URAN from Ukraine. Launched in 2015, the EaPConnect project has empowered universities, research institutions, and students throughout the Eastern

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
Shahab Azarfar, Joseph B. Choi, Phong CH. Nguyen, Yen T. Nguyen, Pradeep Seshadri, H. S. Udaykumar, Stephen Baek
https://arxiv.org/abs/2506.12996

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
Coupling of physics across length and time scales plays an important role in the response of microstructured materials to external loads. In a multi-scale framework, unresolved (subgrid) meso-scale dynamics is upscaled to the homogenized (macro-scale) representation of the heterogeneous material through closure models. Deep learning models trained using meso-scale simulation data are now a popular route to assimilate such closure laws. However, meso-scale simulations are computationally taxing,…