UROP Project

Optimization of the batch synthesis of charged polymers

Innovative polymer materials can be deployed for medical applications, e.g., for cancer treatment. Therefore, polymers must meet specific requirements, which can be achieved via precise production processes. Especially the integration of charged functional groups into polymer particles is desirable, as these groups enable pH responsiveness of the particle. Optimized polymer production is realized via simulations and mathematical optimizations. That way, the size and the distribution among the synthesized polymer particles can be optimally controlled. This enables, the tailor-made production of polymers for specific application requirements.

Task

In this project, you will become acquainted with synthesis modeling of charged polymer particles. For that, you will use an existing synthesis model and implement additional enhancements based on literature and provided experimental results. Your modeling knowledge is then applied to optimize the synthesis strategy via our in-house optimization software DyOS.

Requirements

We are looking for students in the field of computational engineering (CE), mechanical or chemical engineering, math, or simulation science. Experiences with modeling and simulation are required. Interest in optimization is advantageous. Previous knowledge in Python or polymer engineering is not mandatory but favorable. Please apply with transcript. This Work is a good preparation for students considering doing their PhD.