PSE Bavarian Publications

  1. Grube, A.; Bavarian, M. "Emporer’s new clothes: Novel textile-based supercapacitors using sheep wool fiber as electrode substrate." Nano Trends 3 (2023).
  2. Nguyen, T.; Bavarian, M. "Machine learning approach to polymer reaction engineering: Determining monomers reactivity ratios." Polymer 275 (2023): 125866.
  3. Nguyen, Tung, Ahmad Arabi Shamsabadi, and Mona Bavarian. "Coupling ATR-FTIR spectroscopy with multivariate analysis for polymers manufacturing and control of polymers’ molecular weight." Digital Chemical Engineering 7 (2023): 100089.
  4. Nguyen, T.; Bavarian, M. “A Machine Learning Framework for Predicting Glass Transition Temperature of Homopolymers.” Ind. Eng. Chem. Res. 2022 61, 34, 12690–12698.
  5. Nguyen, T., Mona Bavarian, and Siamak Nejati. “Correlating the Macrostructural Variations of an Ion Gel with Its Carbon Dioxide Sorption Capacity.” Membranes 12.11 (2022): 1087.
  6. Syed Ibrahim G. P. M.; Nguyen, T.; Bavarian, M. and Nejati, S “One-step Synthesis of Ionic Covalent Organic Polymer for CO2 Capture” ACS Applied Polymer Materials 2022.
  7. Syed Ibrahim, G.; Nejati, S.; and Bavarian, M. “All-polymeric Thin Film Nanocomposite Membranes for Organic Solvent Nanofiltration” ACS Applied Polymer Materials 2021, 3, 12, 6040–6044.
  8. Alexander, Vineet, Shyam Paudel, Glenn Dado, Lucia D'Urzo, Virgil Briggs, Mona Bavarian, Rao Varanasi et al. "Defect mitigation and characterization in silicon hardmask materials." In Advances in Patterning Materials and Processes XXXVII, vol. 11326, p. 113261Q. International Society for Optics and Photonics, 2020.