Computer simulation

State of dispersion of magnetic nanoparticles in an aqueous medium: Experiments and monte carlo simulation

Publication Type  Journal Article
Year of Publication  2010
Authors  Kumar, S.; Ravikumar, C.; Bandyopadhyaya, R.
Journal Title  Langmuir
Volume  26
Issue  23
Pages  18320 - 18330
Journal Date  2010///
Key Words  Aqueous dispersions; Aqueous medium; Coated particles; Coating agents; Core particles; Experimental data; Grafting densities; Interaction potentials; Interparticle distances; Magnetic nanoparticles; Monte Carlo Simulation; Particle diameters; Particle vol
Notes  

Export Date: 5 July 2011Source: Scopus

URL  http://www.scopus.com/inward/record.url?eid=2-s2.0-78650228742&partnerID=40&md5=3f391123de9009558e692befd114d65d
DOI  10.1021/la1017196
Citation Key  3073

Control of proton exchange membrane fuel cells using data driven state space models

Publication Type  Journal Article
Year of Publication  2010
Authors  Methekar, R.N.; Patwardhan, S.C.; Rengaswamy, R.; Gudi, R.D.; Prasad, V.
Journal Title  Chemical Engineering Research and Design
Volume  88
Issue  7
Pages  861 - 874
Journal Date  2010///
Key Words  Linear quadratic Gaussian control; Model predictive control; PEMFC; Time series models; Advanced control algorithms; Channel model; Complex behavior; Data driven; Empirical modeling; Experimental validations; First principles models; Linear quadratic Gaus
Notes  

Export Date: 5 July 2011Source: Scopus

URL  http://www.scopus.com/inward/record.url?eid=2-s2.0-77953452485&partnerID=40&md5=3ecfb82b01d042f4483075b401a101a4
DOI  10.1016/j.cherd.2009.12.001
Citation Key  3096

Brownian Dynamics using MMTK

These are a collection of lectures on the extending the Molecular Modelling ToolKit (MMTK) (which is a generic Python library/package for molecular dynamics) to perform Brownian Dynamics Simulations. The lectures are organised in various modules:  read more »

  1. Introduction to Python and Object Oriented Programming.
  2. Simple scripting to perform basic MD and BD