Jupyter notebooks containing interactive learning materials for optical spectroscopy.

Publication data for the publication "Environmentally driven symmetry-breaking quenches dual fluorescence in proflavine" by Kye E. Hunter, Yuezhi Mao, Alex W. Chin, and Tim J. Zuehlsdorff.

Computational SI for 'Implementing Tetraperoxovanadates as Direct Air Carbon Capture Materials.' doi: 10.1039/D3SC05381D

Publication data for: Computing linear optical spectra of molecules in complex environments on Graphics Processing Units using molecular dynamics simulations and tensor-network approaches

Computational SI for 'Tetraperoxotitanates for High-Capacity Direct Air Capture of Carbon Dioxide.' doi: 10.1021/acs.chemmater.4c01795

Computational SI for 'Direct observation of carbon dioxide adsorption and binding at the air/aqueous interface.' doi: 10.1093/pnasnexus/pgaf064

Computational SI for 'Electronic Structure and CO2 Reactivity of Group IV/V/VI Tetraperoxometalates.' doi: 10.1021/acs.jpca.4c02927

Interactive Jupyter Notebooks for learning the fundamentals of Density-Functional Theory (DFT)