This review analyzes the current practices in the data-driven characterization, design and optimization of disordered nanoporous materials with pore sizes ranging from angstroms …
G Wang, Y Huang, M Gao, Q Chen - Acta Mechanica Solida Sinica, 2024 - Springer
Micromechanics investigations of composites with fiber-shaped reinforcement are extensively applied in the engineering design and theoretical analysis of thermal …
This research utilized machine learning (ML) techniques to forecast the thermal conductivity (TC) of cement-based grouts for borehole heat exchangers. Nine commonly used ML …
Titanate and silicate xerogels have garnered considerable attention in the realm of thermal insulation due to their outstanding attributes, encompassing thermal conductivity and fire …
Q Fu, Y Chen, W Zheng - Available at SSRN 4844379 - papers.ssrn.com
Abstract In this study, Machine Learning (ML) techniques were utilized to develop a predictive model for the compressive strength of Aeolian Sand Concrete (ASC). An analysis …