Maria Katzarova, Ph.D.
Associate Scientist
Ph.D. Chemical Engineering, Illinois Institute of Technology, 2016
B.S. Chemical Engineering, University of California at Berkeley, 2004
Contact Information
Email: mkatzaro@udel.edu
Research Interests
- Rheology of complex fluids–theory and experiments (entangled polymers, colloidal suspensions, granular materials)
- Modeling–molecular coarse graining
- Design of applied materials:
- Designing materials for enhancement of the mechanical resistance of the EVA space suit.
- Conducting the ISS MISSE-9, -10, and -13 missions, testing the robustness of EVA space suit layups and hard upper torso composites (mission pending).
- In situ regolith utilization on the surfaces of the Moon and Mars for the purpose of building infrastructure.
Publications
Richard Dombrowski, Norman Wagner, Maria Katzarova, and Benjamin Peters. Development of advanced environmental protection garments containing shear thickening fluid enhanced textiles (stf-armortm) for puncture protection and dust. 48th International Conference on Environmental Systems, 2018. [http]
Maria Katzarova, Teresita Kashyap, Jay D Schieber, and David C Venerus. Linear viscoelastic behavior of bidisperse polystyrene blends: experiments and slip-link predictions. Rheologica Acta, 57(4):327–338, 2018. [http]
Priyanka S Desai*, Beom-Goo Kang*, Maria Katzarova*, Ryan Hall, Qifan Huang, Sanghoon Lee, Maksim Shivokhin, Taihyun Chang, David C Venerus, Jimmy Mays, et al. Challenging tube and slip-link models: Predicting the linear rheology of blends of well-characterized star and linear 1, 4-polybutadienes. Macromolecules, *Contributed equally, 49(13):4964–4977, 2016. [http]
Maria Katzarova, Ling Yang, Marat Andreev, Andrés Córdoba, and Jay D Schieber. Analytic slip-link expressions for universal dynamic modulus predictions of linear monodisperse polymer melts. Rheologica Acta, 54(3):169–183, 2015. [http]
Maria Katzarova, Marat Andreev, Yelena R Sliozberg, Randy A Mrozek, Joseph L Lenhart, Jan W Andzelm, and Jay D Schieber. Rheological predictions of network systems swollen with entangled solvent. AIChE Journal, 60(4):1372–1380, 2014. [http]