The Multiphysics Object Oriented Simulation Environment (MOOSE) is an open source framework aiding in the development of scientific simulation tools. MOOSE is emerging as a powerful framework for developing mesoscale computational materials science tools. This is accomplished by utilizing modules for finite strain mechanics, phase field, and heat and mass transfer. Modular, pluggable interface provides simplified access to powerful, massively parallel nonlinear solvers; it can run small problems and has demonstrated good scalability to over 10,000 processors. This workshop will cover everything necessary to utilize MOOSE and its modules in the creation of new materials applications to predict the coevolution of microstructure and properties. For more information, visit the MOOSE Framework website: mooseframework.org.
This workshop will be valuable for any student, scientist, or engineer interested in creating scientific simulation tools for materials related applications at the mesoscale. MOOSE is open source and freely available and is already being used by industry, national laboratories, and universities across the world.
This class will consist of the following segments:
Michael R. Tonks is an Associate Professor of Materials Science and Engineering at the University of Florida. He received a Ph.D. in Mechanical Engineering from the University of Illinois, Urbana-Champaign in 2008. After graduating, he completed a year-long postdoc at Idaho National Laboratory (INL), and then worked as a staff scientist at INL until 2015. He was an Assistant Professor of Mechanical and Nuclear Engineering at Pennsylvania State University from 2015 to 2017. His research interests are focused on predicting the coevolution of microstructure and properties in materials in harsh environments using computational materials science and computational mechanics tools. He has been a significant developer of the phase field and tensor mechanics modules in the Multiphysics Object-Oriented Simulation Environment (MOOSE). He was awarded the US DOE Nuclear Energy Advanced Modeling and Simulation Programs Excellence Award in 2014, the American Nuclear Society Materials Science and Technology Division Special Achievement Award in 2015, and the Presidential Early Career Award for Scientists and Engineers in 2017.
Andrea M. Jokisaari
is a computational scientist in the Fuels Modeling and Simulation Department at Idaho National Laboratory (INL) in Idaho Falls, Idaho, where she conceives and performs computational materials science studies on nuclear fuels and reactor materials to develop continuum-scale materials models, particularly focusing on irradiation-induced microstructural evolution and its impact on thermal and mechanical properties, and implements these models within the Marmot mesoscale modeling code. Prior to joining INL, she was a postdoctoral fellow with a joint appointment at Northwestern University/Argonne National Laboratory in Evanston, Illinois at the Center for Hierarchical Materials Design (CHiMaD). She received her doctorate degree in materials science and engineering from the University of Michigan in Ann Arbor, Michigan, in 2016 and her master of science and engineering from the University of Michigan in 2014.