New NSF MONET Publication in ACS Cent. Sci.

A team from the Kulik and Craig labs report the computational, machine learning guided discovery of synthesizable ferrocene mechanophores. The work establishes a generalizable framework for the high-throughput discovery and rational design of mechanophores and offers insights into structure–activity relationships in mechanically responsive materials.

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