5 citations · 9 across the 3 of their papers we have counts for
4 papers
Machine learning of twin/matrix interfaces from local stress field
Javier F. Troncoso, Yang Hu, Nicolo M. della Ventura +3
Twinning is an important deformation mode in plastically deformed hexagonal close-packed materials. The extremely high twin growth rates at the nanoscale make atomistic simulations…
ClasSOMfier: A neural network for cluster analysis and detection of lattice defects
Javier F. Troncoso
ClasSOMfier is a software package to classify atoms into a given number of disconnected groups (or clusters) and detect lattice defects, such as vacancies, interstitials, dislocati…
Thermal conductivity of porous polycrystalline PbTe
Javier F. Troncoso, Piotr Chudzinski, Tchavdar N. Todorov +3
PbTe is a leading thermoelectric material at intermediate temperatures, largely thanks to its low lattice thermal conductivity. However, its efficiency is too low to compete with o…
Effect of intrinsic defects on the thermal conductivity of PbTe from classical molecular dynamics simulations
Javier F. Troncoso, Pablo Aguado-Puente, Jorge Kohanoff
Despite being the archetypal thermoelectric material, still today some of the most exciting advances in the efficiency of these materials are being achieved by tuning the propertie…