Deep eutectic solvents (DES) have attracted considerable attention in recent years as an eco-friendly alternative to typical solvents. DES are formed by mixing two or more components, typically a hydrogen bond donor (HBD) and an acceptor (HBA), which form a eutectic mixture at a certain ratio. The resulting mixture has unique physical and chemical properties that make it suitable for a wide range of applications in various fields, including chemical synthesis, extraction techniques, petroleum refining, electrochemistry, pharmaceutical industries, and biotechnology.

DES Example
  • 1 - Oxalic acid;
  • 1+2 - 1:1;
  • 2 - L-proline;

DES are nonflammable, low toxic, biodegradable, and usually less expensive than traditional solvents. DES have also high thermal stability and becomes an attractive alternative to volatile and harmful organic solvents. Variation in the HBD/HBA ratio and the nature of the components used allows customizing properties of DES to meet the specific needs of their application.

Despite many advantages, the properties of DES can be challenging to predict using conventional methods. This is where machine learning comes in, offering a fast and reliable way to predict the properties of DES with high accuracy. By utilizing advanced algorithms and data analysis techniques, DESignSolvents allows researchers and industry professionals to make informed decisions about the use of deep eutectic solvents.