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The project tackles formidable aerodynamic challenges and focuses on developing compact transonic fluid machinery for hydrogen pressure gain combustion (PGC) engines—critical components for enabling long-range, high-payload, zero-emission flights.

Turbulence ultimately determines the energy confinement time of fusion devices (a very important figure of merit) and is one of the key unsolved physics problems on the path towards a commercial power plant.

Tri-StyleGen will deliver open-source models and benchmarks, advancing controllable 3D generation for applications in gaming, VR/AR, and digital content creation.

This project aims to clarify the microscopic role of water in MoS₂ coating oxidation: whether it directly participates in degradation, modifies O₂-driven pathways, or stabilizes OH, S–O and Mo–O intermediates.

Natural Language Processing (NLP) is increasingly important in our digital lives. In particular, Large language models (LLMs) such as GPT-4 and chatbots like ChatGPT are likely to profoundly impact society, affecting an estimated 80% of the workforce.

Protoplanetary discs are the birthplace of planetary systems that form around nascent stars. These discs are now observed with an exquisite resolution that allows us to probe the kinematics of the gas during planet formation.

The proposed project aims to develop a cutting-edge AI platform powered by a domain-specific Large Language Model (LLM) uniquely tailored for the Turkish language.

The Event Horizon Telescope has recently taken the first direct images of supermassive objects in the center of the Milky Way, SgrA*, and in the center of galaxy M87, M87*.

This is a continuation of EHPC-AIF-2026SC01-171, whose goal is a unified video–language model for localising and describing object state changes (OSC) over time.

We will investigate mechanisms of ion transport and in the unique bacterial K+-importing protein complex (KdpFABC), which unlike any other ion transporting protein, contains both a channel and a pump subunit.