Följ
Vinamra Agrawal
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Moisture-induced changes in the mechanical behavior of 3D printed polymers
AD Banjo, V Agrawal, ML Auad, ADN Celestine
Composites Part C: Open Access 7, 100243, 2022
992022
Graph neural networks for simulating crack coalescence and propagation in brittle materials
R Perera, D Guzzetti, V Agrawal
Computer Methods in Applied Mechanics and Engineering 395, 115021, 2022
402022
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images
R Perera, D Guzzetti, V Agrawal
Computational Materials Science 196, 110524, 2021
352021
Massively parallel finite difference elasticity using block-structured adaptive mesh refinement with a geometric multigrid solver
B Runnels, V Agrawal, W Zhang, A Almgren
Journal of Computational Physics 427, 110065, 2021
302021
Experimental and numerical investigation into mechanical degradation of polymers
ADN Celestine, V Agrawal, B Runnels
Composites Part B: Engineering 201, 108369, 2020
252020
Shock wave propagation through a model one dimensional heterogeneous medium
V Agrawal, K Bhattacharya
International Journal of Solids and Structures 51 (21-22), 3604-3618, 2014
232014
Phase field disconnections: A continuum method for disconnection-mediated grain boundary motion
B Runnels, V Agrawal
Scripta Materialia 186, 6-10, 2020
222020
Block structured adaptive mesh refinement and strong form elasticity approach to phase field fracture with applications to delamination, crack branching and crack deflection
V Agrawal, B Runnels
Computer Methods in Applied Mechanics and Engineering 385, 114011, 2021
212021
Mechanical characterization and modeling stress relaxation behavior of acrylic–polyurethane‐based graft‐interpenetrating polymer networks
N Alizadeh, ADN Celestine, ML Auad, V Agrawal
Polymer Engineering & Science 61 (5), 1299-1309, 2021
162021
A new approach for phase field modeling of grain boundaries with strongly nonconvex energy
JG Ribot, V Agrawal, B Runnels
Modelling and Simulation in Materials Science and Engineering 27 (8), 084007, 2019
152019
Dynamic and adaptive mesh-based graph neural network framework for simulating displacement and crack fields in phase field models
R Perera, V Agrawal
Mechanics of Materials 186, 104789, 2023
112023
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks
R Perera, V Agrawal
Mechanics of Materials 181, 104639, 2023
112023
Robust, strong form mechanics on an adaptive structured grid: efficiently solving variable-geometry near-singular problems with diffuse interfaces
V Agrawal, B Runnels
Computational Mechanics 72 (5), 1009-1027, 2023
92023
Moving window techniques to model shock wave propagation using the concurrent atomistic–continuum method
AS Davis, JT Lloyd, V Agrawal
Computer Methods in Applied Mechanics and Engineering 389, 114360, 2022
92022
Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations
R Perera, V Agrawal
Computer Methods in Applied Mechanics and Engineering 429, 117152, 2024
82024
High‐fracture‐toughness acrylic–polyurethane‐based graft‐interpenetrating polymer networks for transparent applications
N Alizadeh, M Barde, M Minkler, AD Celestine, V Agrawal, B Beckingham, ...
Polymer International 70 (5), 636-647, 2021
82021
Impact induced depolarization of ferroelectric materials
V Agrawal, K Bhattacharya
Journal of the Mechanics and Physics of Solids 115, 142-166, 2018
82018
Computer modelling of the cochlea and the cochlear implant: a review
V Agrawal, C Newbold
Cochlear implants international 13 (2), 113-123, 2012
72012
One-dimensional moving window atomistic framework to model long-time shock wave propagation
A Davis, V Agrawal
Computer Methods in Applied Mechanics and Engineering 371, 113290, 2020
42020
Investigating shock wave propagation, evolution, and anisotropy using a moving window concurrent atomistic–continuum framework
AS Davis, V Agrawal
Computational Mechanics 71 (4), 721-743, 2023
32023
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Artiklar 1–20