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Nanoscale|November 29, 2019
Predicting structure/property relationships in multi-dimensional nanoparticle data using t-distributed stochastic neighbour embedding and machine learningA S Barnard, G OpletalJournal of Physics. Condensed Matter : an Institute of Physics Journal|April 29, 2011
Crystallization in suspensions of hard spheres: a Monte Carlo and molecular dynamics simulation studyT Schilling, S Dorosz, H J Schöpe, et al.The Journal of Chemical Physics|June 15, 2007
Modeling of structure and porosity in amorphous silicon systems using Monte Carlo methodsG Opletal, T C Petersen, I K Snook, et al.Physical Review Letters|September 28, 2010
Precursor-mediated crystallization process in suspensions of hard spheresT Schilling, H J Schöpe, M Oettel, et al.Physical Chemistry Chemical Physics : PCCP|March 8, 2019
Vacancy induced formation of nanoporous silicon, carbon and silicon carbideG Opletal, B Sun, T C Petersen, et al.Nanoscale|August 10, 2019
Nanoinformatics, and the big challenges for the science of small thingsA S Barnard, B Motevalli, A J Parker, et al.Pageof 1