Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of five from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of topics and includes papers in the following general technical research areas:
AM Composites and Polymers
Dynamic Behavior of Additively Manufactured Materials and Structures
Joint Residual Stress and Additive Manufacturing
ML for Material Model Identification
Novel AM Structures
Novel Processing and Testing of Additively Manufactured Materials
Plasticity and Complex Material Behavior
Virtual Fields Method

Sharlotte L.B. Kramer-Sandia National Laboratories, NM, USA; Emily Retzlaff-United States Naval Academy, MD, USA; Piyush Thakre-Dow Inc., TX,USA; Johan Hoefnagels-Eindhoven University of Technology, Netherlands; Marco Rossi-Università Politecnica delle Marche, Italy; Attilio Lattanzi-California Institute of Technology, CA, USA; François Hemez-Lawrence Livermore National Laboratory, CA, USA; Mostafa Mirshekari-Carnegie Mellon University, PA, USA; Austin Downey-University of South Carolina, SC, USA