2 papers
cs.LG2026
Physics-guided spatiotemporal neural models for fuel density prediction
Tolga Caglar, Jaynil Jaiswal, Saqib Azim +3
This paper presents a physics-guided machine learning (PGML) framework for fuel density prediction, integrating physics constraints and domain knowledge into deep learning models t…
cs.DC2025
A Terminology for Scientific Workflow Systems
Frédéric Suter, Tainã Coleman, İlkay AltintaŠ+23
The term scientific workflow has evolved over the last two decades to encompass a broad range of compositions of interdependent compute tasks and data movements. It has also become…