Electrical Conductivity
Ability to conduct electric current.
From Molecules to Insight - Faster.
Physicochemical machine learning based system for R&D cost reduction.
TurtIL is a machine learning system designed to predict the physicochemical and electrochemical properties of pure ionic liquids. Its purpose is to reduce the time, cost, and energy associated with the research and development of industrial applications by evaluating candidate ionic liquids in just a few seconds.
Plans are in place to add predictions for new properties in the future. Some of these include the Electrochemical Stability Window, HOMO/LUMO Energies, Dielectric Constant, Ionization potential, Toxicity, Melting Point, Glass Transition Temperature etc.
TurtIL has evolved into a standalone desktop application featuring a user-friendly interface. The ultimate objective is to provide a fast, scalable computational-screening tool for the design and development of ionic liquids.
Ability to conduct electric current.
Mass per unit volume.
Resistance to flow.