Open Source JavaScript Simulation Software

Our project harnesses the power of Graph Neural Network (GNN) to estimate pure-component parameters of the state-of-the-art Equation of State, PC-SAFT. We aim to empower users to leverage this robust equation without the need for prior experimental data, revolutionizing the calculation of thermodynamic properties and enhancing process simulations. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS process simulators.

This project intends to create a bacteria simulator framework, with some realistic bacteria control methods based on chemical signaling, simple sensors, motors and neural networks. The bacteria will evolve in a genetic algorithm environment.

The OpenHealhPractice Simulation Environment is a web framework intended to concurrently manage and launch generalized models. Models can be uploaded by the users and also can be connected to other models in order to simulate them in a row. These simulations are stored and can be reviewed or deleted at anytime. The Graphical Visualization Environment (GVE) provides the graphical visualization of the simulation results. Results can also be exported to different formats (xls, txt or csv). This simulation environment is built using Spring Framework and Java technologies. For more information on how to deploy and use the tool, check the installation and user manuals. This tool was developed within the Synergy project. You can view our publication about the Simulation Environment here: http://www.translational-medicine.com/content/12/S2/S7 The rest of the publication outcomes of the project can be found here: http://www.translational-medicine.com/supplements/12/S2