Expansive and richly varied data sets encompassing both equilibrium and reactive structures are increasingly laying the groundwork for the advancement and calibration of Quantum Machine Learning (QML). These QML models harness a physics-informed understanding of Chemical Compound Space (CCS), defined by a multitude of structural and compositional variables.
The CCS Conference 2026 (CCSC 2026) in Erlangen aspires to cultivate and fortify a global scholarly network by convening experts, mid-career professionals, and emerging scientists. The forum aims to facilitate the exchange of groundbreaking findings, ignite intellectually enriching dialogues, and crystalize avenues for future research endeavors.
Note that just before CCSC 2026 the Molecular Modeling Workshop (MMWS 2026) will take place in Erlangen on March 9 and 10, 2026.
