6 papers
MultiphaseHUB for Evidence-Grounded Metadata Curation and Task-Aware Compression of Multiphase Data
Yingyan Zeng, J. P. Panda, Avranshu Mahanty +3
Multiphase transport experiments and simulations generate high-dimensional data whose scientific value depends on the physical conditions, sensing configuration, calibration, synch…
Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
Christy Dunlap, Ridwan Olabiyi, Firas Al-Hindawi +9
Two-phase heat transfer underpins boiling, condensation, immersion cooling, flow boiling, energy conversion, and electronics thermal management, but its coupled interfacial physics…
The Least Action-Augmented Lanchester Model
Wei Liang, Han Hu, Lijie Sun +2
The principle of least action, a fundamental principle in variational mechanics with broad applicability to classical physical systems, is employed to formulate a novel attrition m…
Discovering Governing Equations in the Presence of Uncertainty
Ridwan Olabiyi, Han Hu, Ashif Iquebal
In the study of complex dynamical systems, understanding and accurately modeling the underlying physical processes is crucial for predicting system behavior and designing effective…
BubbleID: A Deep Learning Framework for Bubble Interface Dynamics Analysis
Christy Dunlap, Changgen Li, Hari Pandey +2
This paper presents BubbleID, a sophisticated deep learning architecture designed to comprehensively identify both static and dynamic attributes of bubbles within sequences of boil…
A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations
Hang Hu, Sidi Wu, Guoxiong Cai +1
Physics-informed neural networks (PINNs) have successfully addressed various computational physics problems based on partial differential equations (PDEs). However, while tackling…