Artificial intelligence meets flexible sensors: emerging smart flexible sensing systems driven by machine learning and artificial synapses
The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented
interest in the intelligentialize of human society. As an essential component that bridges the …
interest in the intelligentialize of human society. As an essential component that bridges the …
Heat transfer enhancement for 3D chip thermal simulation and prediction
C Wang, K Vafai - Applied Thermal Engineering, 2024 - Elsevier
Parameter changes in the complex internal structure of multi-layer 3D stacked chips will
greatly reduce the efficiency of modeling and thermal analysis. In this work, by combining …
greatly reduce the efficiency of modeling and thermal analysis. In this work, by combining …
An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials
The effective thermal conductivity of porous materials plays a pivotal role in advancing novel
thermal insulation materials. Existing theoretical prediction methods are computationally …
thermal insulation materials. Existing theoretical prediction methods are computationally …
A multiscale analysis-assisted two-stage reduced-order deep learning approach for effective thermal conductivity of arbitrary contrast heterogeneous materials
Z Yang, X Wu, X He, X Guan - Engineering Applications of Artificial …, 2024 - Elsevier
Effective thermal conductivity (ETC) is an important property of heterogeneous materials in
many thermal management applications. Recently, there is increasing interest to establish …
many thermal management applications. Recently, there is increasing interest to establish …
Deep learning assisted prediction on main factors influencing shear strength of sintered nano Ag-Al joints under high temperature aging
L Zhao, Y Dai, F Qin - Engineering Failure Analysis, 2025 - Elsevier
Bonding strength of sintered nano silver (Ag) joints has been an important index for
evaluating the reliability of power module packages, which has been reported to be …
evaluating the reliability of power module packages, which has been reported to be …
Numerical and experimental study on anisotropic heat transfer behaviors of quartz fabric composite preforms: Multiple micro‐scale models method
H Wu, X Wang, H Peng, X Ding, P Du, Z Han… - Polymer …, 2024 - Wiley Online Library
This paper presents a comprehensive study on anisotropic heat transmission behaviors in
quartz fiber fabrics. Considering the random distribution characteristic of fibers within the …
quartz fiber fabrics. Considering the random distribution characteristic of fibers within the …
Thermal conductivity prediction of Al2O3-doped tetragonal YSZ coatings using deep learning
Thermal barrier coatings, including Al 2 O 3-doped tetragonal yttria-stabilized zirconia (t-
YSZ) coatings are vital in diverse applications. Thermal conductivity is a key property, but …
YSZ) coatings are vital in diverse applications. Thermal conductivity is a key property, but …
Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity
The conventional approach to achieve desired effective thermal conductivity (ETC) of porous
thermal interface materials (TIM) is processing-microstructure-properties forward analysis …
thermal interface materials (TIM) is processing-microstructure-properties forward analysis …
Deep image learning of quantitative structure-property relationships of cooper alloys via feature augmentation on Geodesic curve in shape space
Understanding how the structure of materials affects their properties is a cornerstone of
materials science and engineering. However, traditional methods have struggled to …
materials science and engineering. However, traditional methods have struggled to …
Conductivity and Hardness Prediction of Cu-Cr-Zr via Feature Augmentation on Geodesic Curve
Cu-Cr-Zr alloy has garnered significant attention for its outstanding performance in high-
temperature and high-radiation environments, such as nuclear fusion reactors. However …
temperature and high-radiation environments, such as nuclear fusion reactors. However …