Awarded Projects

Large language models (LLMs) are at the forefront of enormous progress in natural language processing and AI, as witnessed by models like OpenAI's ChatGPT.

Complex fluids which simultaneously have elastic and plastic behaviors are ubiquitous in every day life (ketchup, chocolate), nature (fluids and materials in the human body), andvarious industries such as food, process, chemical and pharmaceutical.

The project's aim is to discover new practically-usable conventional superconductors using state-of-the-art ab initio techniques.

Two-dimensional (2D) materials can assume novel, exotic condensed matter phases highly relevant for possible breakthroughs in nano- and opto- electronics, such as ultrafast (photo)transistors and detectors.

Syngens has developed a powerful AI-based DNA Design Platform to design DNA for biomanufacturing.

The project is a three year one aiming at studying the effect of temperature, pressure and ultrafast light absorption and their implication for the structural properties in materials displaying giant quantum-anharmonic effects.

This project introduces MatMulFreePLM, a protein language model that overcomes the performance plateau of existing models like ESM by expanding and diversifying training datasets while optimizing computational efficiency.

Particle accelerators and light sources are main tools for discovering the fundamental constituents of our universe, the inner workings of biological organisms, and the response of matter inside stars and planets.

Particle accelerators and light sources are main tools for discovering the fundamental constituents of our universe, the inner workings of biological organisms, and the response of matter inside stars and planets.