207 citations · 426 across the 7 of their papers we have counts for
8 papers
LeapFrog: Getting the Jump on Multi-Scale Materials Simulations Using Machine Learning
Damien Pinto, Michael Greenwood, Nikolas Provatas
The development of novel materials in recent years has been accelerated greatly by the use of computational modelling techniques aimed at elucidating the complex physics controllin…
A mean-field model of static recrystallization considering orientation spreads and their time-evolution
Arthur Després, Michael Greenwood, Chad Sinclair
In this paper, we develop a mean-field model for simulating the microstructure evolution of crystalline materials during static recrystallization. The model considers a population…
Solidification Characteristics of Laser-Powder Bed Fused AlSi10Mg: Role of Building Direction
Hossein Azizi, Alireza Ebrahimi, Nana Ofori-Opoku +3
In this work, the effect of building direction on the microstructure evolution of laser-powder bed fusion (LPBF) processed AlSi10Mg alloy was investigated. The building direction,…
A Multi-Component Phase Field Crystal Model for Structural Transformations in Metal Alloys
Nana Ofori-Opoku, Vahid Fallah, Michael Greenwood +2
We present a new phase field crystal model for structural transformations in multi-component alloys. The formalism builds upon the two-point correlation kernel developed in Greenwo…
Free energy functionals for efficient phase field crystal modeling of structural phase transformations
Michael Greenwood, Nikolas Provatas, Jörg Rottler
The phase field crystal (PFC) method has emerged as a promising technique for modeling materials with atomistic resolution on mesoscopic time scales. The approach is numerically mu…
Competition between Surface Energy and Elastic Anisotropies in the Growth of Coherent Solid State Dendrites
Michael Greenwood, Jeffrey J. Hoyt, Nikolas Provatas
A new phase field model of microstructural evolution is presented that includes the effects of elastic strain energy. The model's thin interface behavior is investigated by mapping…