Title:
New chlorophylls designed by theoretical spectroscopy and machine learning
Subtitle:
Model data, for use with the ArchOnML package
Author(s):
Weber, Fabian; Petry, Simon
Other Contributor(s):
Nürnberg, Dennis; Götze, Jan Philipp
Year of publication:
2025
Available Date:
2025-07-23T10:32:12Z
Abstract:
A full ArchOnML model for the design of artificial Chls and characterization of their UV/vis spectroscopic properties
Language:
German, English
Keywords:
Chlorophyll
Machine Learning
Kernel ridge regression
Optical spectroscopy
DDC-Classification:
541 Physical and theoretical chemistry
Publication Type:
dataset
Department/institution:
Biologie, Chemie, Pharmazie
Institut für Chemie und Biochemie / Physikalische und Theoretische Chemie
