Journal of Engineering Mechanics: Call for Papers for a Special Collection on Machine Learning-Enabled Modeling and Discovery for Engineering Mechanics

The Journal of Engineering Mechanics (JEM) launches a series of special collections on high profile topics in Engineering Mechanics. The fourth in the series is dedicated to Machine Learning-Enabled Modeling and Discovery for Engineering Mechanics.  It is guest-edited by Krishna Garikipati (University of Michigan), Paris Perdikaris (University of Pennsylvania), Mazdak Tootkaboni (University of Massachusetts Dartmouth), Nathaniel Trask (Sandia National Laboratories), and WaiChing Sun (Columbia University). Manuscripts are invited and accepted until August 31, 2022. Read more in the attached PDF file.