Fluid phase properties and solvent characteristics are crucial insights not only in the development of chemical and materials processes but also in the design of final products. In recent diverse product development landscape, accelerating process development through the use of information technology is essential. This symposium will focus on accelerating the process from raw material and solvent molecule exploration and selection to process development. We will share information and discuss the modeling of fluid phase properties and solvent characteristics using information technologies such as machine learning and image analysis, as well as the rapid measurement of data necessary for information technology and the construction of soft sensors. Outstanding student presentations will be awarded a student award.