62 citations · 198 across the 13 of their papers we have counts for
13 papers
The Alamo multiphysics solver for phase field simulations with strong-form mechanics and block structured adaptive mesh refinement
Brandon Runnels, Vinamra Agrawal, Maycon Meier
Alamo is a high-performance scientific code that uses block-structured adaptive mesh refinement to solve such problems as: the ignition and burn of solid rocket propellant, plastic…
Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations
Roberto Perera, Vinamra Agrawal
Mesh-based Graph Neural Networks (GNNs) have recently shown capabilities to simulate complex multiphysics problems with accelerated performance times. However, mesh-based GNNs requ…
Robust, strong form mechanics on an adaptive structured grid: efficiently solving variable-geometry near-singular problems with diffuse interfaces
Vinamra Agrawal, Brandon Runnels
Many solid mechanics problems on complex geometries are conventionally solved using discrete boundary methods. However, such an approach can be cumbersome for problems involving ev…
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks
Roberto Perera, Vinamra Agrawal
Despite their recent success, machine learning (ML) models such as graph neural networks (GNNs), suffer from drawbacks such as the need for large training datasets and poor perform…
Investigating shock wave propagation, evolution, and anisotropy using a moving window concurrent atomistic-continuum framework
Alexander S. Davis, Vinamra Agrawal
Despite their success in microscale modeling of materials, atomistic methods are still limited by short time scales, small domain sizes, and high strain rates. Multiscale formulati…
Dynamic and adaptive mesh-based graph neural network framework for simulating displacement and crack fields in phase field models
Roberto Perera, Vinamra Agrawal
Fracture is one of the main causes of failure in engineering structures. Phase field methods coupled with adaptive mesh refinement (AMR) techniques have been widely used to model c…
Transmitting multiple high-frequency waves across length scales using the concurrent atomistic-continuum method
Alexander S. Davis, Vinamra Agrawal
Coupled atomistic-continuum methods can describe large domains and model dynamic material behavior for a much lower computational cost than traditional atomistic techniques. Howeve…
Moving window techniques to model shock wave propagation using the concurrent atomistic-continuum method
Alexander S. Davis, Jeffrey T. Lloyd, Vinamra Agrawal
Atomistic methods have successfully modeled different aspects of shock wave propagation in mate-rials over the past several decades, but they suffer from limitations which restrict…
Graph neural networks for simulating crack coalescence and propagation in brittle materials
Roberto Perera, Davide Guzzetti, Vinamra Agrawal
High-fidelity fracture mechanics simulations of multiple microcracks interaction via physics-based models quickly become computationally expensive as the number of microcracks incr…
Block structured adaptive mesh refinement and strong form elasticity approach to phase field fracture with applications to delamination, crack branching and crack deflection
Vinamra Agrawal, Brandon Runnels
Fracture is a ubiquitous phenomenon in most composite engineering structures, and is often the responsible mechanism for catastrophic failure. Over the past several decades, many a…
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images
Roberto Perera, Davide Guzzetti, Vinamra Agrawal
Additively manufactured metals exhibit heterogeneous microstructure which dictates their material and failure properties. Experimental microstructural characterization techniques g…
One-dimensional moving window atomistic framework to model long-time shock wave propagation
Alexander Davis, Vinamra Agrawal
We develop a long-time moving window framework using Molecular Dynamics (MD) to model shock wave propagation through a one-dimensional chain of atoms. The domain is divided into a…
Massively parallel finite difference elasticity using block-structured adaptive mesh refinement with a geometric multigrid solver
Brandon Runnels, Vinamra Agrawal, Weiqun Zhang +1
Computationally solving the equations of elasticity is a key component in many materials science and mechanics simulations. Phenomena such as deformation-induced microstructure evo…