-
Parsimonious Neural Networks Learn Classical Mechanics and Can Teach It
Papers | 15 May 2020 | 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...
-
PREPRINT: Molecular Modeling of the Microstructure Evolution during the Carbonization of PAN-Based Carbon Fibers
Papers | 23 Mar 2017 | 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...
-
Reproducing results of "Thermal transport in SiGe superlattice thin films and nanowires"
Papers | 27 Mar 2015 | 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....