Conductive polymers as hardware for neuromorphic computing
Conductive polymers as hardware for neuromorphic computing
Conductive polymers as hardware for neuromorphic computing
Energy consumption due to information processing (largely driven by AI for example) is increasing unsustainably. Neuromorphic computing (or Brain-Inspired computing) has the potential to be energy efficient. Therefore, there is an urgent need to develop new molecular materials enabling energy efficient neuromorphic computing. Conductive polymers are important in foldable a wearable devices, and in electronics (light emitting diodes or foldable phones), but so far they have only sparsely investigated for neuromorphic computing. In this project, we will screen the suitable polymer formulations and characterized them in different aspects. Depending on the interest, the focus can be on electrical measurements, synthesis or fabrication, or surface characterization (or combinations):
- Investigate different conductive polymers that shows the desired neuromorphic properties.
- What is the optimal method to deposit the polymer on to the device? (such as spin-coating, inkjet printing and drop casting)
- Study the electrical characteristics different delivery methods? (including the surface morphology, roughness, and thickness…)
- What are the electrical properties and charge transport mechanism of the polymer electrode in different conditions (humidity, temperature and scan rate…)?
- How good is the stability of this device (endurance, retention, scan rate dependence and aging)?
These research questions are just starting point, the goal of this project is to determine and characterize novel conductive polymer that can be used in neuromorphic computing device. We are always open for suggestions.
Contact info:
Supervisor:
Prof. dr. Christian Nijhuis, c.a.nijhuis@utwente.nl
Daily Supervisor:
Charlotte Lin, q.lin-1@utwente.nl