Generation of microscopic structure of solder material with desirable characteristics based on deep learning

Reliability analysis and condition monitoring of SAC+ solder joints under high thermomechanical stress conditions using neuronal networks

(2022) Andreas Zippelius et al.   MICROELECTRONICS RELIABILITY

Application of deep neural network in fatigue lifetime estimation of solder joint in electronic devices under vibration loading

(2022) Anas A. Salameh et al.   Welding in the World

Efficiently exploiting process-structure-property relationships in material design by multi-information source fusion

(2021) Danial Khatamsaz et al.   ACTA MATERIALIA

Analysis of TEM images of metallic nanoparticles using convolutional neural networks and transfer learning

(2021) Akira Koyama et al.   JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS

Data augmentation in microscopic images for material data mining

(2020) Boyuan Ma et al.   npj Computational Materials

Predicting Materials Properties with Little Data Using Shotgun Transfer Learning

(2019) Hironao Yamada et al.   ACS Central Science

Pattern-based image retrieval using GLCM

(2018) Divya Srivastava et al.   NEURAL COMPUTING & APPLICATIONS

Using deep neural network with small dataset to predict material defects

(2018) Shuo Feng et al.   MATERIALS & DESIGN

Material-specific adaptation of color invariant features

(2008) Gertjan J. Burghouts et al.   PATTERN RECOGNITION LETTERS