Search Results for "network simulation"

Cantera is a suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and/or transport processes. It can be used from MATLAB, Python, C++, or Fortran.

MetaMIS is the first tool to automatically infer the microbial interactions of microbial community profile in the field of metagenomics. The most distinguished feature of MetaMIS is its ability to retain maximum population of rare species in an ecological interactive network. MetaMIS provides a user-friendly interactive stand-alone graphical interface for scientists without programming skills to investigate the interactions among microorganisms. 2017.03.09 MetaMIS_v1.02: - Create...

... is to provide a simple-to-understand IGA FEM code. The work is funded under the FP7 Initial Training Network Funding under grant number 289361 'Integrating Numerical Simulation and Geometric Design Technology.' If you use this code or inspired by it please cite the following reference in your work: VP Nguyen, C Anitescu, S Bordas, T Rabczuk. "Isogeometric analysis: an overview and computer implementation aspects". Mathematics and Computers in Simulation, (2015), pp. 89-116, Vol 117.

Elastic network models (ENMs) have been shown to generate the dominant functional equilibrium motions of biomolecules quickly and efficiently. MAVEN simplifies ENM generation, allows for diverse models to be used, and facilitates useful analyses.

... features that are geared towards incorporating glycan-structure experimental data into the simulation environment. For information about GNAT installation and usage, please see the GettingStarted.pdf file enclosed in the package. To cite GNAT: [1] Gang Liu, Apurv Puri and Sriram Neelamegham, Glycosylation Network Analysis Toolbox (GNAT): a MATLAB based environment for systems glycobiology, Bioinformatics 2013 29: 404-406

Moved to https://github.com/rdiankov/openrave An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.

NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.

A simulator for learning techniques for dynamic bayesian networks.

SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder

NodeWeaver is a tool for generating SystemML Neuronal Networks from Neuronal Network descriptions (these technologies are nascent, so no links yet...). Intended use is to generate SystemML NNs for later execution using a SystemML simulator (e.g. BRAHMS).

Extended Bioaccumulation Framework (ExBAF) is a tool for assessing bioaccumulation in foodwebs. Supports several bioaccumulation models and provides tools for analysis and visualization.