Asnet-Am

🌌 Exploring the Universe with Supercomputing 🌌

At the Aznavour Supercomputing Center ( ), we’re proud to support research that unlocks the mysteries of the Universe.

Recent publications by Dr. Narek Sahakyan (ICRANet-Armenia) and collaborators showcase how high-performance computing and artificial intelligence are transforming the study of blazars-some of the most powerful astrophysical sources in the Universe. Our infrastructure contributed to the computational work behind these breakthroughs.

Featured Publications:
📃 Modeling Blazar Broadband Emission with Convolutional Neural Networks, The Astrophysical Journal (2025)
📑 Time-resolved study of blazar OJ 287 (2008–2023), Monthly Notices of the Royal Astronomical Society (2025)

💡 Why it matters:
By combining neural networks with large-scale simulations, researchers can now model complex emissions faster and more accurately-while long-term data analysis reveals how these extreme objects evolve over time.

A powerful step toward data-driven, multimessenger astrophysics and the future of discovery.

Congratulations to all authors-we’re excited to support many more breakthroughs ahead! 👏 👏

🌌 Exploring the Universe with Supercomputing 🌌

At the Aznavour Supercomputing Center ( ), we’re proud to support research that unlocks the mysteries of the Universe.

Recent publications by Dr. Narek Sahakyan (ICRANet-Armenia) and collaborators showcase how high-performance computing and artificial intelligence are transforming the study of blazars-some of the most powerful astrophysical sources in the Universe. Our infrastructure contributed to the computational work behind these breakthroughs.

Featured Publications:
📃 Modeling Blazar Broadband Emission with Convolutional Neural Networks, The Astrophysical Journal (2025)
📑 Time-resolved study of blazar OJ 287 (2008–2023), Monthly Notices of the Royal Astronomical Society (2025)

💡 Why it matters:
By combining neural networks with large-scale simulations, researchers can now model complex emissions faster and more accurately-while long-term data analysis reveals how these extreme objects evolve over time.

A powerful step toward data-driven, multimessenger astrophysics and the future of discovery.

Congratulations to all authors-we’re excited to support many more breakthroughs ahead! 👏 👏

🌟 Empowering Scientific Discovery at the Aznavour Supercomputing Center 🌟

At the Aznavour Supercomputing Center ( ), we are proud to support a growing community of researchers and scientists driving meaningful scientific progress.

By leveraging our high-performance computing resources, researchers are advancing fields like artificial intelligence, smart systems, cybersecurity, and data-driven modeling—leading to high-quality publications and impactful results.

We are especially honored to see acknowledgments from leading scientist Hayk Zakaryan and his peers, who have utilized our infrastructure to power their cutting-edge research. These achievements highlight both the strength of Armenia’s scientific ecosystem and the vital role of supercomputing in enabling innovation.

📖 A dedicated publication referencing further underscores our role in bridging science and technology:
https://doi.org/10.1134/S1063779625700388

Congratulations to all researchers for these remarkable accomplishments! We look forward to supporting many more breakthroughs.

Highlighted Articles:

Petrosyan, N. et al. Computational Discovery of Li6PO5I: An Oxide Argyrodite for Solid-State Electrolytes. ACS Applied Energy Materials, 2026. DOI
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Burganova, R.M. et al. Towards structure-property prediction in DyF3 nanoclusters. Computational and Theoretical Chemistry, 2026. DOI
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Dallakyan, O.L. et al. Computational Screening for Novel Solid-State Electrolytes in Li3MX6 Composition. J. Energy Chem., 2026. DOI
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Shamsieva, A. et al. DFT analysis of furan-based covalent organic framework as electrode materials for lithium and calcium ion batteries. Computational and Theoretical Chemistry, 2025. DOI
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Piyanzina, I.I. et al. DFT investigation of magnetocrystalline anisotropy in Fe, Co, Pd0.95Co0.05, and Pd0.95Fe0.05 systems. Eur. Phys. J. Plus, 2025. DOI
(Q2)