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Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT Web App is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily.
In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive.
The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.
The GNNPCSAFT Chat is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily.
In this app, you can chat with LLM models (Gemini or Ollama) with GNNPCSAFT tools, allowing you to ask questions about the PC-SAFT parameters of various compounds, predict thermodynamic properties, and get insights into the...
chemicalInventory is a chemical intelligent tool for managing chemical inventories.
Main features: Find chemicals via substructure or text searches. Manage container and shelf locations, check containers in and out or transfer containers between users.
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.
Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
We've moved to https://github.com/tjod/gMol/wiki
gMol is an interactive visualization system used to display and manipulate 3-dimensional models of scientific data, such as molecular structures and surfaces. It contains both OpenGL and web browser widgets that enable flexible user interfaces.
The Chemical Manager application can be of great help to Organic Chemistry Departments. University research groups will benefit from using this application, since it was optimized for their needs. Currently, Technion Chemistry department is benefiting from it.
BINViz(Bidirectional Interactive Network Visualization) is a JavaScript library for network and graph visualization. The goal of this tool is to provide a better way to visualize complex graphical models and the underlying data in a web-based environ