5 results match your criteria: "CSIR Centre for Mathematical Modelling and Computer Simulation (C-MMACS)[Affiliation]"
Phys Rev E Stat Nonlin Soft Matter Phys
December 2014
Department of Physics, State University of New York, Buffalo, New York 14260-1500, USA.
We study the penetration dynamics of a projectile incident normally on a substrate comprising of smaller granular particles in three-dimensions using the discrete element method. Scaling of the penetration depth is consistent with experimental observations for small velocity impacts. Our studies are consistent with the observation that the normal or drag force experienced by the penetrating grain obeys the generalized Poncelet law, which has been extensively invoked in understanding the drag force in the recent experimental data.
View Article and Find Full Text PDFBiomed Res Int
December 2014
CSIR Centre for Mathematical Modelling and Computer Simulation (C-MMACS), NAL Belur Campus, Bangalore 560037, India.
Background: Quantitative relations between weather variables and malaria vector can enable pro-active control through meteorological monitoring. Such relations are also critical for reliable projections in a changing climate, especially since the vector abundance depends on a combination of weather variables, each in a given range. Further, such models need to be region-specific as vector population and exposure depend on regional characteristics.
View Article and Find Full Text PDFComput Math Methods Med
June 2012
CSIR Centre for Mathematical Modelling and Computer Simulation (C-MMACS), Bangalore 560017, India.
A simulation model for the spread and control of lesions in the brain is constructed using a planar network (graph) representation for the central nervous system (CNS). The model is inspired by the lesion structures observed in the case of multiple sclerosis (MS), a chronic disease of the CNS. The initial lesion site is at the center of a unit square and spreads outwards based on the success rate in damaging edges (axons) of the network.
View Article and Find Full Text PDFPhys Rev E Stat Nonlin Soft Matter Phys
February 2002
CSIR Centre for Mathematical Modelling and Computer Simulation (C-MMACS), NAL Wind Tunnel Road, Bangalore-560 037, India.
Group theoretical concepts are invoked in a specific model to explain how only twenty amino acids occur in nature out of a possible sixty four. The methods we use enable us to justify the occurrence of the recently discovered 21st amino acid selenocysteine, and also enables us to predict the possible existence of two more, as yet undiscovered amino acids.
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