Control and Optimization of Solution State Processing for the Design of Organic Electronic Applications
- Develop framework to monitor, control and predict the solution behavior of P3HT for electronic applications
- Apply statistical methods (DOE, linear regression, generalized linear models) to predict solution state and charge mobility in organic field-effect transistors (OFETs)
- Analyze large data sets from literature to predict processing-structure-property relationships in OFETs
- NSF IGERT: Nanomaterials for Energy Storage and Conversion Trainee to relate energy materials development with public policy issues
- "Best practices for reporting organic field effect transistor device performance", Dalsu Choi, Ping-Hsun Chu, Michael McBride, and Elsa Reichmanis (Associate Editor), Chemistry of Materials, (2015).
- "Silicon Valley meets the ivory tower: Searchable data repositories for experimental nanomaterials research", Nils Persson, Michael McBride, Martha Grover, Elsa Reichmanis, (2016). Link
- Ordering of Poly(3-hexylthiophene) in Solutions and Films: Effects of Fiber Length and Grain Boundaries on Anisotropy and Mobility", Nabil Kleinhenz, Nils Persson, Zongzhe Xue, Ping-Hsun Chu, Gang Wang, Zhibo Yuan, Michael McBride, Dalsu Choi, Martha A. Grover, and Elsa Reichmanis, Chemistry of Materials,(2016).