Upcoming experiments in particle physics and astrophysics like the High-Luminosity LHC and the Square Kilometre Array will be producing data at a rate of multiple TBit/s, pushing beyond the limits of what can reasonably be stored permanently. This drives the need for a fast readout and real-time reconstruction of the data as part of a trigger system, that selects interesting events to store,...
Computational materials science workflows often involve numerous steps, integrate diverse software tools, span multiple length and time scales, and cover a broad range of material compositions, structures, and thermodynamic conditions. Therefore, ensuring reproducibility, data reusability, and meaningful interpretation requires not only detailed descriptions of data and metadata at each stage...
In the evolving landscape of scientific knowledge management, the integration of neuro-symbolic AI approaches offers opportunities to enhance the organization, discovery, and synthesis of research contributions. We explore how knowledge graphs and large language models (LLMs) can be synergistically combined to advance the representation and accessibility of scholarly knowledge. At the heart...