Nuwan Dewapriya's blog

Our recent paper is accessible freely for 50 days from this link: https://authors.elsevier.com/a/1iaz87NHxQgzz

Our latest article in the Journal of Applied Physics is freely available for 14 days: https://aip.scitation.org/doi/10.1063/5.0072249

Our latest article “Quantum and classical molecular dynamics simulations of shocked polyurea and polyurethane” is available freely for 50 days from this URL: https://authors.elsevier.com/a/1eJem3In-urdzV

Our latest article on the ballistic performance of polymer/metal nanostructures is freely available for 50 days from today: https://authors.elsevier.com/a/1cy9c3In-urcWx

Abstract: Advanced machine learning methods could be useful to obtain novel insights into some challenging nanomechanical problems. In this work, we employed artificial neural networks to predict the fracture stress of defective graphene samples. First, shallow neural networks were used to predict the fracture stress, which depends on the temperature, vacancy concentration, strain rate, and loading direction.

I would like to share the codes required to perform an end-to-end molecular dynamics simulation, which will be useful to the novice researchers in the filed of atomistic simulations. I focus on simulating uniaxial tensile tests of a graphene sample in the LAMMPS molecular dynamics simulator, and I have attached two MATLAB scripts to create the input files for LAMMPS and to extract data from the LAMMPS output file.

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I would like to share with you our recent paper published in the Journal of Applied Mechanics: J. Appl. Mech. 81(8), 081010 (Jun 02, 2014)

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In armchair graphene sheets, crack propagates perpendicular to the applied strain, whereas crack propagation in zigzag sheets occurs at an angle to the straining direction. This occurs due to different bond structure along armchair and zigzag directions as shown in Fig. 1. Videos 1 and 2 show the fracture of armchair and zigzag sheets, respectively.

Fig. 1: Armchair and zigzag directions of graohene