Deep eutectic solvents are promising, sustainable alternatives for diverse applications, including separation, gas capture, electrodeposition, or nanomaterial synthesis, but our fundamental understanding of the nature of these solvents remains limited. Here, the authors report a practical approach for estimating the solid–liquid equilibrium phase diagram of any binary mixture from structural information, using machine learning and quantum chemical techniques.
- Adroit T. N. Fajar
- Takafumi Hanada
- Masahiro Goto
