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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.

Atomistic modeling can provide mechanistic insights and improved design principles, but it is limited by the complexity of modern alloys that involve up to a dozen carefully tuned components.

This project will provide a molecular-level understanding of ZDDP tribofilm formation, driving the development of more environmentally friendly lubricant additives while advancing computational tribology.

Brain imaging techniques, particularly magnetic resonance imaging (MRI), play a crucial role in understanding the neurocognitive phenotype of Down syndrome (DS) and its associated challenges.

MXenes are a rapidly expanding class of two-dimensional transition-metal carbides, nitrides, and carbonitrides with exceptional tribological properties.

The project tackles one of the fundamental open questions in cosmology: the nature of dark matter. The project aims to redefine the standards of the field by simulating three cosmological volumes in multiple scenarios: cold, warm and three self-interacting dark matter models.

Velvet initiative aims to build a Multimodal Large Language Model to increase the European capacity and sovereignty in the field of Artificial Intelligence.