Analysis Of The Effects Of Different Electrical And Physical Parameters On Contact Resistance In Organic Thin Film Transistors And Optimization Using Machine Learning

Injection of charge carriers from the electrodes into the semiconductor layer is a crucial part of the operation in Organic Thin Film Transistors. OTFTs generally suffer from poor charge injection and so gaining an understanding of the contact resistance occurring at the electrode-semiconductor junction is a must. In this work, we test the effect of certain parameters, both physical and electrical, on the contact resistance of the device and design a machine-learning model to reduce the extraction time of the contact resistance and provide faster and easier predictions, given the parameters the contact resistance is being tested for.