Awarded Projects

Among the solutions used to control shock wave/turbulent boundary layer interaction (SBLI) in practical applications, several studies in recent years have demonstrated the effectiveness of micro vortex generators (MVGs) to successfully delay shock-induced separation with reduced device drag.

This project will perform cross-datacenter training of a stage-of-the-art multilingual LLM at an unprecedented scale (tens of billions of parameters trained on tens of trillions of tokens) using coordinated allocations across multiple supercomputers.

The design of novel photocatalytic and photovoltaic devices requires an in-depth understanding of the microscopic physical mechanisms governing the light-matter interaction.

In this project, the research team proposes to leverage DNS to study a temporally-evolving nonequilibrium 3DTBL in a plane channel with an imposition of sudden transverse pressure gradient.

The key goal of this project is to develop a small language model that can deliver exceptional performance across multilingual reasoning tasks (English, French, Spanish, German, and Italian), instruction following, agent integration (tool calling), and extended context support (128k+ tokens).

This project, Domyn Edge, aims to push the boundaries of open-source SLMs by developing a model that competes with or outperforms the current state-of-the-art in the 3B–4B parameter range (e.g., LLaMA 3.2-3B, Gemma 3, Qwen 3 4B).

Domyn Guard is a specialised guard model for financial services applications that ensures compliance with AI regulations including NIST AI Risk Management Framework, EU AI Act, and financial sector-specific guidelines.

We investigate the effectiveness of wall-manipulation strategies based on the use of “spanwise traveling waves” in the high Reynolds number regime.

Trained on reference libraries an order of magnitude larger than before, DreaMS-Mol would extend annotation beyond the small, known fraction of chemistry, reaching the molecules behind the many spectra that remain unannotated across public repositories and biological samples.