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1
2d Heat advection Parallelized
MPI based Parallelized C Program code to solve for 2D heat advection.
Type - 2D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - MPI (for cluster environment) Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup: The left and top edges are heated to 100 C and the right and bottom boundaries are heated to 0 C. The flow is along the main diagonal. -
2
3D Heat advection C code
A C Program code to solve for Heat advection in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The left, top and inside plane boundary is at 100 C and the right, bottom and outside plane boundary is at 0 C. The flow is along the main diagonal. -
3
2D Heat advection C code
A C Program code to solve for Heat advection in 2D Cartesian grid.
Type - 2D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The left and top boundary is at 100 C and the right and bottom boundary is at 0 C. The flow is along the main diagonal. -
4
3D Heat convection C code
A C Program code to solve for Heat convection in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat convection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The top, bottom, front and back boundaries are heated to 100 C. The left boundary is inlet (Velocity = 1m/s along X direction) and at an Inlet temperature of 30 C and the right boundary is outlet. -
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5
2D Heat convection C code
A C Program code to solve for Heat convection in 2D Cartesian grid.
Type - 2D Grid - Structured Cartesian Case - Heat convection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The top and bottom boundaries are heated to 100 C. The left boundary is inlet (Velocity = 1m/s along X direction) and at an Inlet temperature of 30 C and the right boundary is outlet. -
6
3d axisymmetric heat diffusion C code
A C Program code to solve for Heat diffusion in 3D Axi-symmetric grid.
Type - 3D Grid - Axisymmetric Case - Heat diffusion Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LR,LZ,LH) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup - Periphery heated to 500 C Top to 500 C Bottom to 500 C -
7
2d axisymmetric heat diffusion C code
A C Program code to solve for Heat diffusion in 2D Axi-symmetric grid.
Type - 2D Grid - Axisymmetric Case - Heat diffusion Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LR,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup - Periphery heated to 200 C Top to 300 C Bottom to 100 C -
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3d heat conduction parallelized
MPI based Parallelized C Program code to solve for 3D heat conduction.
Type - 3D Grid - Structured Cartesian Case - Heat conduction Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - Yes Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The six boundaries are heated to 100 C, 200 C, 300 C, 400 C, 500 C, 600 C respectively. -
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3d Heat conduction C code
A C Program code to solve for Heat conduction in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat Conduction Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The six boundaries are heated to 100 C, 200 C, 300 C, 400 C, 500 C and 600 C respectively. -
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10
xPyder PyMOL Plugin
Analyze and visualize coupled residues and their networks in proteins
xPyder is a PyMOL plugin to analyze and visualize on the 3D structure dynamical cross-correlation matrices (DCCM), linear mutual information (LMI), communication propensities (CP), intra- and inter-molecular interactions (e.g. PSN), and more, to produce highly customizable publication-quality images. xPyder identifies networks (using concepts from graph theory, such as hubs and shortest path searching), compares matrices and focuses the analysis on relevant information by filtering the data using a modular, user-expandable plugin system that takes advantage of structural and dynamical information, contributing to bridge the gap between dynamical and mechanical properties at the molecular level.
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