CRIS Current Research Information System

Improving Initialization of ASTEC's Thermal-Hydraulic Solver with Machine Learning-Based Methods for Enhanced Convergence in Severe Accident Simulations

Severe Accident (SA) simulation codes like ASTEC (Accident Source Term Evaluation Code) are essential for predicting nuclear reactor behavior under SA conditions. However, their high computational demands, particularly in thermal-hydraulic simulations (e.g., the CESAR module in ASTEC), can constrain their effectiveness. A significant portion of CESAR’s computational load arises from solving non-linear Partial Differential Equations (PDEs) at each timestep using the Newton-Raphson (NR) iterati...

NEW TEACHING INNOVATION TOOLS IN FOOD ANALYSIS AND THEIR APPLICATION TO THE FOOD SCIENCE AND TECHNOLOGY PILOT PLANT (INLABPILOTFOOD)

The objective of this project is the implementation of teaching innovation within the Degree in Food Science and Technology through the establishment of a multidisciplinary and international faculty forum focused on food production and analysis. This project involves the following priorities: 1. Global Faculty Collaboration: To foster a Teaching Innovation Working Group with a global perspective in the field of Food Production and Analysis. 2. Inclusive and Interconnected Pedagogy: To deve...

Visualizzare l'Invisibile: Dal Knowledge Graph alla Piattaforma Digitale

Every textual work may be seen as the product of regulated combinatorial procedures operating on discrete formal and semantic units. Whether these rules are adopted intentionally, as in the case of constrained writing, or act as implicit conventions, they shape the formal and semantic architecture of the text. Yet current bibliographic cataloguing systems focus almost entirely on the bibliographic product, leaving the generative mechanisms of texts implicit and semantically underspecified. Th...

Dissecting novel sncRNAs signatures in iPSC-derived cardiac organoids for the functional modeling of heart failure