ChemPhotoChem, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Chirality plays a fundamental role in molecular sciences, with chiroptical properties offering valuable insights into the interaction between chiral molecules and polarized light. Designing materials enhanced requires deep understanding of underlying physical principles, often revealed only through large datasets. In this context, artificial intelligence (AI) emerges as powerful tool for accelerating discovery optimization, efficiently exploring vast chemical spaces. This work explores synergy AI properties, highlighting recent advances data‐driven approaches circular dichroism circularly luminescence. has demonstrated its ability to predict these phenomena accurately while uncovering structure–property relationships that can remain hidden under traditional methods. Various strategies are examined integrating challenges future directions field discussed. conclusion, combining intuition offers great potential rational design next‐generation materials. integration not promises unlock novel compounds but also provides new opportunities deepen our phenomena.

Language: Английский