Energy-based physics-informed neural network for frictionless contact problems under large deformation
Numerical methods for contact mechanics are of great importance in engineering
applications, enabling the prediction and analysis of complex surface interactions under …
applications, enabling the prediction and analysis of complex surface interactions under …
Physics-Informed Machine Learning for Microscale Drying of Plant-Based Foods: A Systematic Review of Computational Models and Experimental Insights
This review examines the current state of research on microscale cellular changes during
the drying of plant-based food materials (PBFM), with particular emphasis on computational …
the drying of plant-based food materials (PBFM), with particular emphasis on computational …
A probabilistic framework for the failure assessment of plate-fin heat exchangers under creep-fatigue interactions
The structural integrity of high-efficiency plate-fin heat exchangers (PFHE) in fourth-
generation nuclear reactors faces challenges from creep-fatigue interactions and multi …
generation nuclear reactors faces challenges from creep-fatigue interactions and multi …