MICDE Seminar: Baskar Ganapathysubramanian

Baskar Ganapathysubramanian is an Associate Professor of Mechanical Engineering at Iowa State University. He directs a curiosity driven computational sciences group with general interest in transport phenomena. His groups’ current research interests include multiscale modeling and stochastic analysis with particular application to soft matter physics, flow physics in sustainable buildings, and plant sciences. Ganapathysubramanian completed his PhD and MS from Cornell University and holds a BS degree from the Indian Institute of Technology-Madras. He is a NSF CAREER awardee and a ISU Plant Science Institute fellow.

Computationally exploring process-structure-property relationships in organic electronics

4:00 p.m., Tuesday, Sept. 22, 2015
Room 1018 Dow

Experimental studies reveal that significant additional improvement in the power conversion efficiency of organic photovoltaic devices is possible through better morphology control during the fabrication process. A set of computational tools that can (a) predict the evolving three dimensional morphology within the active layer during the fabrication process; and (b) characterize the structure and relate it with device properties; would significantly augment current experimental efforts and strengthen the pursuit of this vision of high power conversion efficiency devices. I will discuss recently developed computational strategies that attempt to link fabrication process, nanostructure and property of thin film solar devices.

The topics covered in this talk are:

1) A computational framework that effectively acts like a virtual “stereological microscope” to visualize morphology evolution from early stages until the formation of the stable morphology. This multiscale framework is based on a continuum description of evaporation-induced phase-separation in ternary systems. We naturally formulate this multi-physics problem using a phase field approach using a set of three phase field variables to represent the volume fraction of solvent, and the two solutes that determine the final morphology. We detail the challenges faced in numerically solving this set of equations.

2) A suite of physically motivated morphology descriptors that encode the various physical processes that affect the total power conversion efficiency of a photovoltaic cell. This is based on formulating the various morphology descriptors as graph based constructs to enable fast computing.

 

This event is part of the Department of Mechanical Engineering Seminar Series and co-sponsored by MICDE.