Visualization-based prediction of dendritic copper growth in electrochemical cells using convolutional long short-term memory

Infusing Data Science into Mechanical Engineering Curriculum with Course-Specific Machine Learning Modules

“…Data science has made a significant impact on engineering research in recent years, owing to its capability of processing large volumes of data and extracting valuable physical insights. Various machine learning tools have been widely used to investigate fluid mechanics [1], [2], materials design [3]- [5], convection [6], conduction [7], and two-phase heat transfer [8], dendrite growth in electrochemical systems [9], parameter estimation of unmanned aerial vehicles [10], among others. Many data science courses have been offered on various online platforms, including Coursera, Udemy, edX, YouTube, etc.…”