Recent progress in application of digital/virtual microstructure models in the area of metals
engineering science is presented within the paper. First, various approaches to digital …

Understanding scientific phenomena in terms of complex systems principles is both
scientifically and pedagogically important. Situations from different disciplines of science are …

The goals of instruction are usually taken to be fixed, at least in their broad outline. For
example, in elementary school mathematics, students progress from counting to addition …

This article reports on “MaterialSim”, an undergraduate-level computational materials
science set of constructionist activities which we have developed and tested in classrooms …

The characteristics of 3-D grain growth are investigated by a topological analysis of phase-
field simulation results compared with theoretical mean-field theories. We found that the size …

Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals
Processing Simulations describes the most common computer modeling and simulation …

The abnormal grain growth behavior of an individual grain in the textured system was
simulated by kinetic Monte Carlo method with focusing on the effect of anisotropy …

Emergence of engineering nanomaterials to render exceptional properties require
understanding the thermodynamics and kinetics of grain growth and eliciting role of grain …

This chapter reports on a model-based, constructionist learning environment for engineering
education in the field of materials sciences.“MaterialSim” is a set of activities, computer …

The effect of different initial structures on the simulation of microstructure evolution during
normal grain growth was comparatively studied by using a two-dimensional phase-field …