Acoustic emission analysis of fracture initiation and propagation using physics-informed machine learning methods

Daniel Lizama1,2, Hongkyu Yoon3, Liyang Jiang4 and Laura J Pyrak-Nolte4, (1)University of Puerto Rico Mayaguez, Mayaguez, PR, United States, (2)Sandia National Laboratories, Geomechanics, Albuquerque, NM, United States, (3)Sandia National Laboratories, Department of Geomechanics, Albuquerque, NM, United States, (4)Purdue University, Department of Physics and Astronomy, West Lafayette, IN, United States