8 citations · 8 across the 2 of their papers we have counts for
7 papers
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Yinan Wang, Diane Oyen, Weihong +7
Catastrophic failure in brittle materials is often due to the rapid growth and coalescence of cracks aided by high internal stresses. Hence, accurate prediction of maximum internal…
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design
M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh +3
A sustainable burn platform through inertial confinement fusion (ICF) has been an ongoing challenge for over 50 years. Mitigating engineering limitations and improving the current…
Accelerating High-Strain Continuum-Scale Brittle Fracture Simulations with Machine Learning
M. Giselle Fernández-Godino, Nishant Panda, Daniel O'Malley +4
Failure in brittle materials under dynamic loading conditions is a result of the propagation and coalescence of microcracks. Simulating this mechanism at the continuum level is com…
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric Hagberg +5
We present a topology-based method for mesh-partitioning in three-dimensional discrete fracture network (DFN) simulations that take advantage of the intrinsic multi-level nature of…
Branching of Hydraulic Cracks in Gas or Oil Shale with Closed Natural Fractures: How to Master Permeability
Saeed Rahimi-Agham, Viet-Tuan Chau, Huynjin Lee +7
While the hydraulic fracturing technology, aka fracking (or fraccing, frac), has become highly developed and astonishingly successful, a consistent formulation of the associated fr…
Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks
Max Schwarzer, Bryce Rogan, Yadong Ruan +8
We propose a machine learning approach to address a key challenge in materials science: predicting how fractures propagate in brittle materials under stress, and how these material…