Reproducing results of "Thermal transport in SiGe superlattice thin films and nanowires"
27 Mar 2015 | Papers | Contributor(s): Alejandro Strachan, Jonathan Mark Dunn
In this document we show how to reproduce results in the paper "Thermal transport in SiGe superlattice thin films and nanowires", Keng-hua Lin, and Alejandro Strachan Physical Review B 87, 115302 (2011) using the nanoMATERIALS nanoscale heat transport tool in nanoHUB....
Reproducing results from "PUQ: a code for non-intrusive uncertainty propagation in computer simulations"
27 Mar 2015 | Papers | Contributor(s): Martin Hunt, Marisol Koslowski, Alejandro Strachan
In this document we use the nanoPLASTICITY in nanoHUB to reproduce results of the paper "PUQ: a code for non-intrusive uncertainty propagation in computer simulations" to be published in Computer Physics Communications. The paper abstract follows. We present a software package for the...
PREPRINT: Molecular Modeling of the Microstructure Evolution during the Carbonization of PAN-Based Carbon Fibers
23 Mar 2017 | Papers | Contributor(s): Alejandro Strachan, Saaketh Desai
PREPRINTDevelopment of high strength carbon fibers (CFs) requires an understanding of the relationship between the processing conditions, microstructure and resulting properties. We developed a molecular model that combines kinetic Monte Carlo (KMC) and molecular dynamics (MD) techniques to...
Parsimonious Neural Networks Learn Classical Mechanics and Can Teach It
15 May 2020 | Papers | Contributor(s): Saaketh Desai, Alejandro Strachan
We combine neural networks with genetic algorithms to find parsimonious models that describe the time evolution of a point particle subjected to an external potential. The genetic algorithm is designed to find the simplest, most interpretable network compatible with the training data. The...