Monitoring depolymerization in mesopores using dynamic properties of polymeric melt accessed via dielectric spectroscopy
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This dataset supports the ACS Macromolecules article 'Monitoring depolymerization in mesopores using dynamic properties of polymeric melt accessed via dielectric spectroscopy' by Venkatesh et al (Macromolecules 2025). The article details how timescales extracted from the relaxation spectra of polymer chains undergoing scission inside nanopores can serve as measures of the progress of intra-pore scission reactions. This holds promise in estimating the kinetics of upcycling schemes inside pores and detailing how pore geometry and surface nature can control reaction rates. The raw spectra published in the SI and the main text have been provided in this data set along with a code to extract the relaxation timescales. Data for thermogravimetry for two different polymers match their intra-pore scission rates as measured by this technique and have also been included. , , # Data from: Monitoring depolymerization in mesopores using dynamic properties of polymeric melt accessed via dielectric spectroscopy This README.txt file was generated by R Bharath Venkatesh GENERAL INFORMATION 1. Title of Dataset: Data Supporting the ACS Macromolecules Article - Monitoring depolymerization in mesopores using dynamic properties of polymeric melt accessed via dielectric spectroscopy 2. Author Information A. Principal Investigator Contact Information Name: Rachel Segalman Institution: University of California Santa Barbara Address: UC Santa Barbara, Santa Barbara, California 93106 Email: [segalman@ucsb.edu](mailto:segalman@ucsb.edu) B. Associate or Co-investigator Contact Information Name: R Bharath Venkatesh Institution: University of California Santa Barbara Address: UC Santa Barbara, Santa Barbara, California 93106 Email: [rbharath@ucsb.edu](mailto:rbharath@ucsb.edu) C. Associate or Co-investigator Contact Information Name: Jo..., , ,
