Coarse-Grained Atomistics – Mechanics and Materials Laboratory | ETH Zurich
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a A microstructure produced using a phase field grain growth code. The... | Download Scientific Diagram
EGQSJ - Grain-size distribution unmixing using the R package EMMAgeo
Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening | npj Computational Materials
Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods | npj Computational Materials
Modeling length scale effects on strain induced grain boundary migration via bridging phase field and crystal plasticity methods - ScienceDirect
Step-by-Step Guide for Grain Size Analysis | Geoengineer.org
EGQSJ - Grain-size distribution unmixing using the R package EMMAgeo
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Publications — Department of Plant Science
EGQSJ - Grain-size distribution unmixing using the R package EMMAgeo
Discrete and continuum modelling of grain size segregation during bedload transport | Journal of Fluid Mechanics | Cambridge Core
EGQSJ - Grain-size distribution unmixing using the R package EMMAgeo
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Molecular dynamics study of the effect of extended ingrain defects on grain growth kinetics in nanocrystalline copper | Scientific Reports
Ultra-Coarse-Grained Models Allow for an Accurate and Transferable Treatment of Interfacial Systems | Journal of Chemical Theory and Computation
Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening | npj Computational Materials
EGQSJ - Grain-size distribution unmixing using the R package EMMAgeo
Modeling material variability with uncertainty quantification and machine learning techniques
Grain size analysis in permanent magnets from Kerr microscopy images using machine learning techniques - ScienceDirect
Ultra-large-scale phase-field simulation study of ideal grain growth | npj Computational Materials
Model Predictive Control of the Grain Drying Process
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Phase-Field Simulation of Grain Boundary Evolution In Microstructures Containing Second-Phase Particles with Heterogeneous Thermal Properties | Scientific Reports
Analyzing grain size distributions with the modal decomposition method: potential for future research in engineering geology | SpringerLink
