  The flavor is the focal point in the flavor industry, which follows social
tendencies and behaviors. The research and development of new flavoring agents
and molecules are essential in this field. On the other hand, the development
of natural flavors plays a critical role in modern society. In light of this,
the present work proposes a novel framework based on Scientific Machine
Learning to undertake an emerging problem in flavor engineering and industry.
Therefore, this work brings an innovative methodology to design new natural
flavor molecules. The molecules are evaluated regarding the synthetic
accessibility, the number of atoms, and the likeness to a natural or
pseudo-natural product.
