Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
RF
ZVMHEG Physical Review MaterialsGrain shape inference
The distributions of size and shape of a material’s grains can be constructed from a 2D slice of the material and electron diffraction data.
CP
GS Physical Review BPredicting interface structures
Generating random structures in the vicinity of a material’s defect predicts the low and high energy atomic structure at the grain boundary.
RF
Powder TechnologyRandom close packing fractions of lognormal distributions of hard spheres
Lognormal distributions (and mixtures of same) are a useful model for the size distribution in emulsions and sediments.
Diffusional Monte Carlo model of liquid-phase sintering
Our Monte Carlo model sheds light on the Ostwald ripening, namely the growth of big particles at the expense of the small ones.