Decoupled Peak Property Learning for Efficient and Interpretable Electronic Circular Dichroism Spectrum Prediction

Chemistry, Computational Chemistry, Information Science, Artificial Intelligence,
Electronic Circular Dichroism   Peak Property Learning   Deep Neural Network   Molecular Chirality   Spectrum Prediction  

Efficient and Interpretable Electronic Circular Dichroism Spectrum Prediction: Decoupled Peak Property Learning Academic Background Electronic Circular Dichroism (ECD) spectroscopy is a crucial tool for studying molecular chirality, particularly in asymmetric organic synthesis and the pharmaceutical industry, where it is used to distinguish the abs...