most citedThe Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.AI20261 cited

The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)

Andrew Ferguson, Marisa LaFleur, Lars Ruthotto +97

This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 w…

cs.DL2026

CA20108 COST Action: A Methodology for Developing FAIR Micrometeorological Networks

Branislava Lalic, Josef Eitzinger, Stevan Savić Ana Firanj Sremac +2

This article reports the outcomes of the FAIRNESS COST Action (CA20108), a coordinated European initiative aimed at advancing micrometeorological data toward compliance with the FA…

physics.bio-ph2025

Modelling Mosquito Population Dynamics using PINN-derived Empirical Parameters

Branislava Lalic, Dinh Viet Cuong, Mina Petric +3

Vector-borne diseases continue to pose a significant health threat globally with more than 3 billion people at risk each year. Despite some limitations, mechanistic dynamic models…

q-bio.PE2025

Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics

Dinh Viet Cuong, Branislava Lalić, Mina Petrić +2

Physics informed neural networks have been gaining popularity due to their unique ability to incorporate physics laws into data-driven models, ensuring that the predictions are not…

q-bio.QM2025

Redefining Influenza Transmission Seasonality Using the Novel Seasonality Index

Branislava Lalic, Vladimir Koci, Ana Firanj Sremac +1

The impact of climate conditions on influenza epidemiology has mostly been studied by addressing a singular aspect of transmission and a climate variable correlating to it. As clim…

physics.ao-ph2025

Seasonal Changes -- Time for Paradigm Shift

Branislava Lalic, Ana Firanj Sremac

Season and their transitions play a critical role in sharpening ecosystems and human activities, yet traditional classifications, meteorological and astronomical, fail to capture t…