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Awarded Projects (360)
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2D materials can be dramatically different from those of their 3D parents, thus unveiling novel physical phenomena and creating new technological potentialities.

Catalysis is ubiquitous in chemical processes. The need for reducing the amount of critical raw materials has stimulated research in the field of Single Atom Catalysts (SACs).

Realizing the green transition requires not only materials with tailored functionalities, but also that we use less of these materials, which in turn requires that they can be designed to achieve a combination of high strength and toughness.

This proposal aims to disclose new properties of cosmic-ray transport in the Universe. A fast numerical method is used to describe the propagation of cosmic-rays in anisotropic magnetic turbulence.

Polymers are ubiquitous in our society thanks to their durability, low manufacturing costs, and ability to be formulated into diverse materials.

The main goal of the heavy ion program of many accelerator facilities (LHC, RHIC and the upcoming CBM/FAIR) is to create new phases of matter and explore their properties under extreme conditions.

As Big Tech acquires the advanced hardware components necessary to build private, special-purpose computing clusters, this project advocates for a new approach to publicly supported computing power in general, and on LLM pre-training in particular, through cross-Facility Federated Learning (xFFL).

The resolution revolution has increasingly enabled single-particle cryo-EM reconstructions of previously inaccessible systems, including large membrane protein complexes that constitute a disproportionate share of drug targets.

RNA molecules span a great variety of biological functions, from genetic information storage to catalysis. This is possible thanks to the highly heterogeneous conformational ensembles that these molecules can adopt.

The goal of this project is to reach a new frontier in precision radiology by developing foundation models for 3D medical imaging, trained with self-supervised learning (SSL) techniques at an unprecedented scale.